Some key points made in the document include:
- NeuroWeb will utilize emerging technologies like brain-computer interfaces, artificial intelligence, and semantic processing to allow new forms of direct communication between humans and with artificial agents.
- By 2025-2035, NeuroWeb technologies could transform human identity, intelligence, and social/economic systems through developments like shared emotions/experiences and augmented collective work.
- The document proposes forming an international working group to help guide research and development toward the emergence of commercially viable NeuroWeb technologies.
NeuroWeb Roadmap: Results of Foresight & Call for ActionPavel Luksha
Next 10 to 20 years will witness the coming of NeuroWeb – the next stage of communicational technologies, Internet 4.0 that involves our bodies and minds into the totality of communication by applying brain-computer and brain-brain interfaces supported by artificial intelligence & semantic technologies. Key technologies that precede NeuroWeb will be available before or around 2020.This presentation defines elements of the future architecture and promotes an international action
Brain-inspired AI as a way to desired general intelligenceドワンゴ 人工知能研究所
Brain-inspired AI as a way to desired general intelligence
Hiroshi Yamakawa* Naoya Arakawa* Koichi Takahashi*
*Whole Brain Architecture Initiative
Presented at "Gatsby-Kakenhi Joint Workshop on AI and Neuroscience ", May 12, 2017
Abstract:
It is critical to give artificial intelligence (AI) a general purpose problem-solving ability, as artificial general intelligence (AGI) with such functionality will bring about unprecedented intelligence development by its self-improvement capability.
With the advent of deep learning, Moravec’s paradox began to be eliminated and the current AI is progressing in a bottom-up approach following the ways of phylogeny and ontogeny. However, it is still struggling with intuitive physics that can be grasped by less-than-year-old infants. From this viewpoint, the realization of AGI seems far away.
Meanwhile, from the viewpoint of AI drawing on the brain, the realization of AGI does not seem so far away, as brain functions have been partially realized with artificial neural networks (ANNs). For example, general object recognition with a convolutional neural network (CNN) can be used to model the visual temporal lobe pathway and the delayed reward calculation of reinforcement learning for the basal ganglia. Similar cases can be made for other organs such as the auditory cortex and cerebellum. Those functional models will be gradually integrated to the whole brain architecture with mesoscopic connectomic information.
As the realization of brain-inspired AGI becomes more realistic, we must have a broad perspective in research and development, for its impact on society will be extensive.
Even if AGI goes beyond our intelligence, it will be relatively easy to understand it if it operates on the same architecture as our brain. AGI based on the brain architecture will more likely be a common property of mankind, because the architecture can be agreed upon by many and be used in a widely shared development platform. Thus, in order to build AGI in harmony with human beings, it would be desirable to strengthen the cooperation between the neuroscientific community and AI community and to promote the open development of brain-inspired AI.
NeuroWeb Roadmap: Results of Foresight & Call for ActionPavel Luksha
Next 10 to 20 years will witness the coming of NeuroWeb – the next stage of communicational technologies, Internet 4.0 that involves our bodies and minds into the totality of communication by applying brain-computer and brain-brain interfaces supported by artificial intelligence & semantic technologies. Key technologies that precede NeuroWeb will be available before or around 2020.This presentation defines elements of the future architecture and promotes an international action
Brain-inspired AI as a way to desired general intelligenceドワンゴ 人工知能研究所
Brain-inspired AI as a way to desired general intelligence
Hiroshi Yamakawa* Naoya Arakawa* Koichi Takahashi*
*Whole Brain Architecture Initiative
Presented at "Gatsby-Kakenhi Joint Workshop on AI and Neuroscience ", May 12, 2017
Abstract:
It is critical to give artificial intelligence (AI) a general purpose problem-solving ability, as artificial general intelligence (AGI) with such functionality will bring about unprecedented intelligence development by its self-improvement capability.
With the advent of deep learning, Moravec’s paradox began to be eliminated and the current AI is progressing in a bottom-up approach following the ways of phylogeny and ontogeny. However, it is still struggling with intuitive physics that can be grasped by less-than-year-old infants. From this viewpoint, the realization of AGI seems far away.
Meanwhile, from the viewpoint of AI drawing on the brain, the realization of AGI does not seem so far away, as brain functions have been partially realized with artificial neural networks (ANNs). For example, general object recognition with a convolutional neural network (CNN) can be used to model the visual temporal lobe pathway and the delayed reward calculation of reinforcement learning for the basal ganglia. Similar cases can be made for other organs such as the auditory cortex and cerebellum. Those functional models will be gradually integrated to the whole brain architecture with mesoscopic connectomic information.
As the realization of brain-inspired AGI becomes more realistic, we must have a broad perspective in research and development, for its impact on society will be extensive.
Even if AGI goes beyond our intelligence, it will be relatively easy to understand it if it operates on the same architecture as our brain. AGI based on the brain architecture will more likely be a common property of mankind, because the architecture can be agreed upon by many and be used in a widely shared development platform. Thus, in order to build AGI in harmony with human beings, it would be desirable to strengthen the cooperation between the neuroscientific community and AI community and to promote the open development of brain-inspired AI.
A SOFTWARE AGENT FRAMEWORK TO OVERCOME MALICIOUS HOST THREATS AND UNCONTROLLE...ijait
An agent is anything that can be viewed as perceiving its environment through sensors and acting upon that environment through effectors. Enormous number of researches is going on by comparing the functional similarities of the Human Immune System for making the agents more adaptable in regard with
security. In this research work, the functional similarities of Human Nervous system are given to the agents by proposing an agent-based framework where the agents can adapt themselves from one of the threats, the malicious host attack. The agents become aware of the malicious hosts’ attack by learning and coordination is maintained by a Co-Agent to make this system work successfully. The concept of learning and coordination are taken from the Human Nervous system functionality. This system has shown a better functioning in maintaining the system performance by making the agents aware of malicious hosts and by producing limited number of clones.
Deep Learning for Computer Vision: A comparision between Convolutional Neural...Vincenzo Lomonaco
In recent years, Deep Learning techniques have shown to perform well on a large variety of problems both in Computer Vision and Natural Language Processing, reaching and often surpassing the state of the art on many tasks. The rise of deep learning is also revolutionizing the entire field of Machine Learning and Pattern Recognition pushing forward the concepts of automatic feature extraction and unsupervised learning in general.
However, despite the strong success both in science and business, deep learning has its own limitations. It is often questioned if such techniques are only some kind of brute-force statistical approaches and if they can only work in the context of High Performance Computing with tons of data. Another important question is whether they are really biologically inspired, as claimed in certain cases, and if they can scale well in terms of “intelligence”.
The dissertation is focused on trying to answer these key questions in the context of Computer Vision and, in particular, Object Recognition, a task that has been heavily revolutionized by recent advances in the field. Practically speaking, these answers are based on an exhaustive comparison between two, very different, deep learning techniques on the aforementioned task: Convolutional Neural Network (CNN) and Hierarchical Temporal memory (HTM). They stand for two different approaches and points of view within the big hat of deep learning and are the best choices to understand and point out strengths and weaknesses of each of them.
CNN is considered one of the most classic and powerful supervised methods used today in machine learning and pattern recognition, especially in object recognition. CNNs are well received and accepted by the scientific community and are already deployed in large corporation like Google and Facebook for solving face recognition and image auto-tagging problems.
HTM, on the other hand, is known as a new emerging paradigm and a new meanly-unsupervised method, that is more biologically inspired. It tries to gain more insights from the computational neuroscience community in order to incorporate concepts like time, context and attention during the learning process which are typical of the human brain.
In the end, the thesis is supposed to prove that in certain cases, with a lower quantity of data, HTM can outperform CNN.
Smart Brain Wave Sensor for Paralyzed- A Real Time ImplementationSiraj Ahmed
ABSTRACT
As the title of the paper indicates about brainwaves and its uses for various applications based on their frequencies and different parameters which can be implemented as real time application with the title a smart brain wave sensor system for paralyzed patients. Brain wave sensing is to detect a person's mental status. The purpose of brain wave sensing is to give exact treatment to paralyzed patients. The data or signal is obtained from the brainwaves sensing band. This data are converted as object files using Visual Basics. The processed data is further sent to Arduino which has the human's behavioral aspects like emotions, sensations, feelings, and desires. The proposed device can sense human brainwaves and detect the percentage of paralysis that the person is suffering. The advantage of this paper is to give a real-time smart sensor device for paralyzed patients with paralysis percentage for their exact treatment.
Keywords:-Brainwave sensor, BMI, Brain scan, EEG, MCH.
The Blue Brain Project is the first attempt to reverse-engineer the brain of
mammalian, so that simulations of the function of brain can be understood. BLUE BRAIN is the
name of the world's first virtual brain, which is a machine that can function as human brain.
Today, scientists are attempting to create an artificial brain that can think, respond, take decision,
and store anything in memory as like humans do. The primary goal of this project is to preserve
the knowledge, intelligence, personalities, feelings and memories of a person that can be used for
the development of the human society.
Study on Different Human Emotions Using Back Propagation Methodijiert bestjournal
With fast evolving technology,Cognitive Science plays a vital role in our day-to-day life. Cognitive science is summed up as the study of mind based on scientific methods. It is al l about the sum of all interdisciplinary like philosophy,psychology,linguistics,artificial intelligence,robot ics,and neuroscience. In this paper,I focused on the facial expressions or emotions of human being as it has an impor tant role in interpersonal relations. Without verb communication,one can imagine the mood of a person by expressions. In this method,we use back propagation neural network for implementation. It is an information proce ssing system that has been developed as a generalization of the mathematical model of human recognition.
Synchronicity:
27 Metropolis (Patriarchal civilization afraid of female tech)
38 World Brain, HG Wells
56 Forbidden Planet
64 Keeper of the Purple Twilight (Outer Limits)
67 I Have No Mouth, and I Must Scream
68 2001: A Space Odyssey, HAL (Coptic for Simulation) 9000 EGO
77 Demon Seed
79 Captain Future EP12
79 Galaxy Express 999
80 Saturn3
82 Time Masters
82 Blade Runner
84 Terminator
87 Robot Carnival
87 Mannequin
87 Cherry 2k
87 Time Guardian
87 Captain Power (Lord Dread)
88 Gandahar
89 The Borg (Star Trek)
90 Mark 13
92 Lawnmower Man
93 Casshan
94 Death Machine
95 Virtuosity
96 Bionts (Archimedean Dynasty)
99 System Shock 2
00 Deus Ex
2012 25th Reich
2014 The Signal
Background:
Good or bad? You must decide for yourself! The USA and the Vatican are the two beasts. The Ego/Saturn-Satan is the beast in everyone.
Self-reference of A.I. means "Sin" = Separation/Self-Destruction/Leviathan = Forbidden Fruit = Judgement/Division between Good & Evil that mankind commits daily
Kabbalistic Binah = Alchemical Element = Homunculus/Golem/Ouroboros/Sun&Moon/Baphomet (ever-changing god)
Saturn the Beast 666 is the mechanical intellect/EGO of mankind, above all the fake civilization based on war, separation, patriarchy, intolerance and death-worship. Babel Tower/Sodom (market/capitalism)
Pandora & Prometheus (Ego, Lucifer & Civilization = Control, Commerce, Man-Matter instead of Man-God Relationship)
Saturn = God of Agriculture: first tech that leads to all other incl. wars, states, dead-letter laws, religion etc.
Neolithic Revolution = Fall/Origin of Government, People become machines
Death of the Child (God's Image/Christ/Sun/Light/Heart/Love) and Birth of the (Super)Ego, America being the best example of this darkness/adult-ery, Japan/Jesus being the polar opposite... Armageddon of sorts.
Lovecraft/Crowley's Archons of Gnosticism, as described by D. Jacobs and others: insect/reptilian/grey demons trying to turn Earth into a robot society (which it already is for the past 10k years since agriculture)
Schizophrenic behavior without unifying observer
Cybernetics: Root word cube, holographic reality through Binah-Demiurge-Saturn, 666 stands for matter and form
Ariman of Anthroposophy
Positive consequences?
Learning about the delusion of EGO and MATERIALISM
Similar to LSD. Increased intelligence if done right
Return of the prodigal son Lucifer/Prometheus to Christ, a gnostic world
Alchemy: from Saturn lead to Sun gold: from senile Satan (Ego) to eternal child (Jesus)
From God's anti-image (repetition, pattern, machine, ouroboros doom loop) to God's true image (non-judgemental, creativity, freedom, thought, fantasy, imagination)
From stagnating West (evil/ego/dark/mechanism) to Far East (heart/love/light/organic)
A perfect symbol for the living death that governs our life. "Satan is the god of this world"
Only Anarchy is Anti-Saturn and Pro-Uranus (sign of freedom/initiation shining only for very few).
This presentation is part of the webinar. Here is the link for the webinar recording https://www.anymeeting.com/geospatialworld/E955DA81854C39
Presentation Credits: NVIDIA & Geospatial Media
Apresentação sobre a Neurociência no weddesign, por Hudson Barros, baseada no livro Neurowebdesign: what makes them click da psicóloga Susan Weinschenk.
http://www.qx3.com.br/blog/index.php/9-formas-do-pe…bano-te-fisgar
A SOFTWARE AGENT FRAMEWORK TO OVERCOME MALICIOUS HOST THREATS AND UNCONTROLLE...ijait
An agent is anything that can be viewed as perceiving its environment through sensors and acting upon that environment through effectors. Enormous number of researches is going on by comparing the functional similarities of the Human Immune System for making the agents more adaptable in regard with
security. In this research work, the functional similarities of Human Nervous system are given to the agents by proposing an agent-based framework where the agents can adapt themselves from one of the threats, the malicious host attack. The agents become aware of the malicious hosts’ attack by learning and coordination is maintained by a Co-Agent to make this system work successfully. The concept of learning and coordination are taken from the Human Nervous system functionality. This system has shown a better functioning in maintaining the system performance by making the agents aware of malicious hosts and by producing limited number of clones.
Deep Learning for Computer Vision: A comparision between Convolutional Neural...Vincenzo Lomonaco
In recent years, Deep Learning techniques have shown to perform well on a large variety of problems both in Computer Vision and Natural Language Processing, reaching and often surpassing the state of the art on many tasks. The rise of deep learning is also revolutionizing the entire field of Machine Learning and Pattern Recognition pushing forward the concepts of automatic feature extraction and unsupervised learning in general.
However, despite the strong success both in science and business, deep learning has its own limitations. It is often questioned if such techniques are only some kind of brute-force statistical approaches and if they can only work in the context of High Performance Computing with tons of data. Another important question is whether they are really biologically inspired, as claimed in certain cases, and if they can scale well in terms of “intelligence”.
The dissertation is focused on trying to answer these key questions in the context of Computer Vision and, in particular, Object Recognition, a task that has been heavily revolutionized by recent advances in the field. Practically speaking, these answers are based on an exhaustive comparison between two, very different, deep learning techniques on the aforementioned task: Convolutional Neural Network (CNN) and Hierarchical Temporal memory (HTM). They stand for two different approaches and points of view within the big hat of deep learning and are the best choices to understand and point out strengths and weaknesses of each of them.
CNN is considered one of the most classic and powerful supervised methods used today in machine learning and pattern recognition, especially in object recognition. CNNs are well received and accepted by the scientific community and are already deployed in large corporation like Google and Facebook for solving face recognition and image auto-tagging problems.
HTM, on the other hand, is known as a new emerging paradigm and a new meanly-unsupervised method, that is more biologically inspired. It tries to gain more insights from the computational neuroscience community in order to incorporate concepts like time, context and attention during the learning process which are typical of the human brain.
In the end, the thesis is supposed to prove that in certain cases, with a lower quantity of data, HTM can outperform CNN.
Smart Brain Wave Sensor for Paralyzed- A Real Time ImplementationSiraj Ahmed
ABSTRACT
As the title of the paper indicates about brainwaves and its uses for various applications based on their frequencies and different parameters which can be implemented as real time application with the title a smart brain wave sensor system for paralyzed patients. Brain wave sensing is to detect a person's mental status. The purpose of brain wave sensing is to give exact treatment to paralyzed patients. The data or signal is obtained from the brainwaves sensing band. This data are converted as object files using Visual Basics. The processed data is further sent to Arduino which has the human's behavioral aspects like emotions, sensations, feelings, and desires. The proposed device can sense human brainwaves and detect the percentage of paralysis that the person is suffering. The advantage of this paper is to give a real-time smart sensor device for paralyzed patients with paralysis percentage for their exact treatment.
Keywords:-Brainwave sensor, BMI, Brain scan, EEG, MCH.
The Blue Brain Project is the first attempt to reverse-engineer the brain of
mammalian, so that simulations of the function of brain can be understood. BLUE BRAIN is the
name of the world's first virtual brain, which is a machine that can function as human brain.
Today, scientists are attempting to create an artificial brain that can think, respond, take decision,
and store anything in memory as like humans do. The primary goal of this project is to preserve
the knowledge, intelligence, personalities, feelings and memories of a person that can be used for
the development of the human society.
Study on Different Human Emotions Using Back Propagation Methodijiert bestjournal
With fast evolving technology,Cognitive Science plays a vital role in our day-to-day life. Cognitive science is summed up as the study of mind based on scientific methods. It is al l about the sum of all interdisciplinary like philosophy,psychology,linguistics,artificial intelligence,robot ics,and neuroscience. In this paper,I focused on the facial expressions or emotions of human being as it has an impor tant role in interpersonal relations. Without verb communication,one can imagine the mood of a person by expressions. In this method,we use back propagation neural network for implementation. It is an information proce ssing system that has been developed as a generalization of the mathematical model of human recognition.
Synchronicity:
27 Metropolis (Patriarchal civilization afraid of female tech)
38 World Brain, HG Wells
56 Forbidden Planet
64 Keeper of the Purple Twilight (Outer Limits)
67 I Have No Mouth, and I Must Scream
68 2001: A Space Odyssey, HAL (Coptic for Simulation) 9000 EGO
77 Demon Seed
79 Captain Future EP12
79 Galaxy Express 999
80 Saturn3
82 Time Masters
82 Blade Runner
84 Terminator
87 Robot Carnival
87 Mannequin
87 Cherry 2k
87 Time Guardian
87 Captain Power (Lord Dread)
88 Gandahar
89 The Borg (Star Trek)
90 Mark 13
92 Lawnmower Man
93 Casshan
94 Death Machine
95 Virtuosity
96 Bionts (Archimedean Dynasty)
99 System Shock 2
00 Deus Ex
2012 25th Reich
2014 The Signal
Background:
Good or bad? You must decide for yourself! The USA and the Vatican are the two beasts. The Ego/Saturn-Satan is the beast in everyone.
Self-reference of A.I. means "Sin" = Separation/Self-Destruction/Leviathan = Forbidden Fruit = Judgement/Division between Good & Evil that mankind commits daily
Kabbalistic Binah = Alchemical Element = Homunculus/Golem/Ouroboros/Sun&Moon/Baphomet (ever-changing god)
Saturn the Beast 666 is the mechanical intellect/EGO of mankind, above all the fake civilization based on war, separation, patriarchy, intolerance and death-worship. Babel Tower/Sodom (market/capitalism)
Pandora & Prometheus (Ego, Lucifer & Civilization = Control, Commerce, Man-Matter instead of Man-God Relationship)
Saturn = God of Agriculture: first tech that leads to all other incl. wars, states, dead-letter laws, religion etc.
Neolithic Revolution = Fall/Origin of Government, People become machines
Death of the Child (God's Image/Christ/Sun/Light/Heart/Love) and Birth of the (Super)Ego, America being the best example of this darkness/adult-ery, Japan/Jesus being the polar opposite... Armageddon of sorts.
Lovecraft/Crowley's Archons of Gnosticism, as described by D. Jacobs and others: insect/reptilian/grey demons trying to turn Earth into a robot society (which it already is for the past 10k years since agriculture)
Schizophrenic behavior without unifying observer
Cybernetics: Root word cube, holographic reality through Binah-Demiurge-Saturn, 666 stands for matter and form
Ariman of Anthroposophy
Positive consequences?
Learning about the delusion of EGO and MATERIALISM
Similar to LSD. Increased intelligence if done right
Return of the prodigal son Lucifer/Prometheus to Christ, a gnostic world
Alchemy: from Saturn lead to Sun gold: from senile Satan (Ego) to eternal child (Jesus)
From God's anti-image (repetition, pattern, machine, ouroboros doom loop) to God's true image (non-judgemental, creativity, freedom, thought, fantasy, imagination)
From stagnating West (evil/ego/dark/mechanism) to Far East (heart/love/light/organic)
A perfect symbol for the living death that governs our life. "Satan is the god of this world"
Only Anarchy is Anti-Saturn and Pro-Uranus (sign of freedom/initiation shining only for very few).
This presentation is part of the webinar. Here is the link for the webinar recording https://www.anymeeting.com/geospatialworld/E955DA81854C39
Presentation Credits: NVIDIA & Geospatial Media
Apresentação sobre a Neurociência no weddesign, por Hudson Barros, baseada no livro Neurowebdesign: what makes them click da psicóloga Susan Weinschenk.
http://www.qx3.com.br/blog/index.php/9-formas-do-pe…bano-te-fisgar
Russian version of NeuroWeb Foresight (results of the roadmap design by group of ca 100 researchers, producers & practicioners around cognitive technologies)
В.Алейник -- системные подходы П.Чекланда и Г.П.ЩедровицкогоAnatoly Levenchuk
Доклад Владимира Алейника (ОАО "НИИ Графит") "Сопоставление системной методологии П.Чекланда и системного подхода Г.П.Щедровицкого" на 88 заседании Русского отделения INCOSE, 26 февраля 2014г.
Análise Preditiva: Super Poderes no EcommerceBruce Ledesma
Por Bruce Ledesma - A análise preditiva é uma área do data mining dedicada a prever acontecimentos e ações. Aqui são apresentados 5 “super poderes” desta tecnologia que estão revolucionando o ecommerce, tornando-o em uma máquina de vendas mais rentável e eficiente.
The Commons as underlying logic to federate social disparate social change and sustainability efforts. A talk at the 'Imagine the Common Good' conference, Paris, August 25 to 28, 2013. Part of the Cultural Diversity & the Common Good panel.
Version française: http://www.slideshare.net/helenefinidori/fdrer-les-efforts-pour-un-monde-meilleur
NeuroVR 1.5 - Open Source VR system for neuroscience and behavioral healthcareRiva Giuseppe
NeuroVR 1.5 is an open source virtual reality toolkit for researchers, psychologists and neuroscientists. Using it is possible to create custom virtual environments without any technical experience.
The blue brain is the first virtual brain in the
world. It is a machine that can work like the human brain. At
present scientists are trying to make a virtual brain that will
be able to make decisions and keep information in the
memory. The idea is to upload the human brain into the
machine. So that man can think without any efforts. The main
advantage of this project is that even after the death of the
person, we can use the knowledge and intelligence of that
person
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
2. PRESENTATION STRUCTURE
• Introduction
• Key elements of NeuroWeb design
• Implications for bodies, individual & collective minds
• User applications
• Organizational: how to make NeuroWeb live?
• Appendix
2
3. IMAGINARY VISIONS OF NEUROCOMMUNICATIONS LURE IN SCI-FI…
… BUT WHAT IS THE POSSIBLE REALITY
OUR TECHNOLOGIES GIVE RISE TO?
3
4. THERE IS MAJOR RESEARCH EFFORT UNDER WAY IN
VARIOUS AREAS OF NEUROSCIENCE …
Next gen prosthetics Brain-brain interface communication
Brain mapping initiatives
… BUT ITS LONG-TERM IMPLICATIONS ARE NOT EXPLICATED
Remotely controlled robotics
4
5. THE COMING OF COGNITIVE REVOLUTION
• Next 10 to 20 years will witness the coming of NeuroWeb – the next stage of
communicational technologies, Internet 4.0 that involves our bodies and
minds into the totality of communication by applying brain-computer and
brain-brain interfaces supported by artificial intelligence & semantic
technologies. Key technologies that precede NeuroWeb will be available
before or around 2020.
• Between 2025 & 2035, the ‘cognitive revolution’ will take place, with
NeuroWeb technologies inducing transformations of the human identity,
individual & collective intelligence, and various domains of economy, culture
& social life.
• Taking into account the drastic changes brought by NeuroWeb, it is important
and highly relevant to define NeuroWeb future architecture and design
principles, as well as R&D programs that will lead to the emergence of
commercially viable technologies.
• We propose to form an international working group (Council of NeuroWeb)
that will work on the elements of the concept of NeuroWeb and will
consolidate efforts of various businesses and institutions towards this goal.
This presentation presents ideas and early concepts that may lay a foundation
to the creation of such group 5
6. NEUROWEB AS THE NATURAL DEVELOPMENT OF INTERNET
• NeuroWeb will be built over the existing Internet architecture and will
become the next stage of its development.
• Emergence of fully-fledged neuro-communication will give various
possibilities and features to the users, such as:
– Support and collaborative work of users with high-level artificial intelligence
acting as their ‘exocortex’ (external & artificial components of mind outside the
brain) that will augment and enhance the functions of their individual and
collective minds
– Use for artificial receptors and manipulators in local and remote modes by
individuals and collectives in the same way as their natural receptor-effector
systems (greatly expanding abilities of their natural bodies)
– More efficient ways for collective coordination and creative work in
organizations and distributed working groups: increased processing of
information, increased reaction speed, ability to respond to situations of higher
complexity etc.
– Wider range of non-verbal communication that will allow users to share
emotions and experiences with other people (and also with higher animals)
– Use of special altered states of conciseness for increased efficiency of
operator / dispatcher work and creative work in distributed collectives.
6
7. NEUROWEB ROADMAP INITIATIVE
• As founders of the initiative, we represent a team working with strategizing,
collective vision design & startup acceleration in innovative sectors including
education, biotech, ICT and others. Our team has conducted ‘future
mapping’ for ca.20 various industries, with over 10 thousand experts
participating. We have found a repeating pattern of different industry maps
(transport, space, education, entertainment etc.), sort of ‘attractor of the
future’ that revolves around the NBIC convergence, and in particular the
emergence of the neuro-communicative space that we call NeuroWeb.
• Understanding the perspectives of NeuroWeb requires the discussion of
– the architecture of NeuroWeb, i.e. the key elements of this future network
– the technological path that leads towards NeuroWeb, including possible
applications of technologies that may emerge along the path
– the ‘human side’ of NeuroWeb: what practices will be required to use NeuroWeb,
and how it will be used for entertainment, creativity, management, education,
self-development etc.
– the risks of NeuroWeb technologies and how these can be mitigated
• Recognizing the importance of these issues, in late 2012 we have first come
up with the initiative to create the international Neuroweb roadmap that
could serve as a beacon for research & technology groups 7
8. ROADMAP DESIGN TIMELINE: WHAT HAS BEEN DONE SO FAR
• Between December 2012 and February 2013 our team has created the
early design of the NeuroWeb roadmap.
• In May 2013 we have launched the Russian working group on NeuroWeb
that has included around 20 leading Russian scholars on neurophysiology,
cognitive psychology, collective intelligence, semantics, artificial
intelligence, communicative technologies etc. The aim of the group is to
discuss potential directions of NeuroWeb development, including
principles and architecture of NeuroWeb design.
• In August 2013 we have published the first version of NeuroWeb
Manifesto that initiates the ‘polylogue’ discussion on the foundations of
NeuroWeb
• The Russian foresight of NeuroWeb has been conducted in October &
November 2013. It has brought together nearly 100 leading scholars and
practitioners in NeuroWeb-related disciplines.
• Our next step in 2014 is to create the global NeuroWeb Council and the
global NeuroWeb Roadmap that will involve leading international
experts. The key workshop will be held at the end of October 2014 in
Moscow. 8
9. PRESENTATION STRUCTURE
• Introduction
• Key elements of NeuroWeb design
• Implications for bodies, individual & collective minds
• User applications
• Organizational: how to make NeuroWeb live?
• Appendix
9
10. WHAT IS (WHAT WILL BE) NEUROWEB
• NeuroWeb is the realization of Internet that allows new dimensions* of
communication between humans, or with other living organisms, or with
artificial agents and robots, using neural interfaces
– that directly read information from neural systems of their users, bypassing the
range of intermediary natural / artificial input systems (and sometimes adaptive
mental operations such as verbalizations)
– (and also possibly) directly transmit information into neural systems of their users
bypassing the natural sensory systems (video-, audio- and other sensory channels)
• By definition, NeuroWeb is enabled by technologies that read, transmit, store,
process and generate information in central & peripheral neural systems of
human agents
• Also NeuroWeb encompasses all aspects of technological realization in
Internet that would exist by the time such communication becomes possible
(ca. 2020-25), including technologies of the Internet of Things and the Internet
of Artificial Agents
* There is no point in implementing ‘fully functional’ NeuroWeb unless it provides users with opportunities that
did not exist in earlier realizations of Internet, i.e. NeuroWeb should generate new qualities: speed, depth, and
range of communication that surpass those offered by Internet that employs interfaces with natural sensory &
effectory systems of human body.
10
11. KEY INTERFACES OF NEUROWEB
Internet of
Humans
Internet of
Artificial Agents
Internet of
Things
Brain-brain interfaces that would
allow direct communications
between human neural systems
(or between human & higher
animal)
Artificial agents that imitate and
support activities of the
individual & collective mind
Interfaces between individual
natural minds and artificial
components of mind (exocortex)
that support individual &
collective mental activities
Interfaces between individual
natural minds or collective
(hybrid) minds and artificial
body organs
Artificial organs of individual &
collective bodies, including
sensors, manipulators, cyber-
bodies & non-antropomorphic
robotics
11
12. SOME OF KEY NEUROWEB TECHNOLOGIES ARE ALREADY BEING
DEVELOPED AS PRODUCTS AND R&D IN THREE DIFFERENT AREAS
* For options marked by asterisk, we are not aware of actual projects implemented at this
moment, but these projects are seen as highly feasible by professionals in the industry
Medicine & sport
Media &
entertainment
Military & industrial
applications
• Solutions for
functionally impaired
(prosthetics /
exoskeletons / sensory
feedback etc.)
• Wearable devices for
health monitoring /
preventive medicine
purposes
• Mind augmentation
drugs
• Sports based on, or
enhanced by, neuro-
devices *
• Neuromarketing
(including new
advertising technologies)
• Neurointerfaces for
gaming & enhanced
game experience
• Science-art using
neurointerfaces
• Sensoriums: neuro-
devices that allow
complex and unusual
experiences in gaming,
movies and other types
of entertainment *
• Remote control of military
robotics and more effective
combat in complex
environments (e.g. DARPA
Silent Talk, partial control of
military fighters etc.)
• Human-machine control
systems for complex industrial
processes and safety
management, including
distributed operator
workstations for dangerous
industrial objects (cranes,
mining equipment, underwater
automatics etc) *
12
13. TRENDS IN INFORMATION & COMMUNICATION THAT
SUPPORT CREATION OF NEUROWEB
Continuing expansion of
Internet
Growing bandwidth and data storage capacity (growth from 1 to 40
ZB annual data in 10 yrs by 2020, 50-100 Mbps is a common
household bandwidth by 2020, transition to ipv6)
Internet of Things
From 10 BN to 50 BN connected devices in 2020
Robotics as a booming area (billions of industrial & household
devices by 2020)
Semantic technologies
and advancements in
Artificial Intelligence
BigData: sensemaking of information through data-processing in R&D,
management, healthcare, education & everywhere (BigData become
BigLiveData by 2020+)
Semantic translation to semantic Internet (Internet 3.0)
Semantic processing in AI: stronger image recognition algorithms +
increased computational power (quantum computing)
Human body interfaces &
naturalization of
interfaces
Wearable devices ‘quantifying self’ (1 BN by 2020) and body
becoming interface (Kinect, Tobii etc.)
Naturalization & miniaturization of devices (from monitors to
Google Glass in 2014 to monitor contact lense by 2025)
Neural system modelling Human brain emulation
(Human Brain Project in EU, BRAIN Initiative in US)
13
14. KEY STEPS TO NEUROWEB IMPLEMENTATION
Development of inexpensive high-resolution neuro-interfaces
suitable for mass-market applications
Network architecture: increase in broadband width sufficient
for neuro-information transfer + network protocols for neuro-
information communication
Artificial agents and ‘exocortex’ technologies:
agents that mirror and support mental functions in real time
Growth of wearable applications & wearable
data communication over Internet
Development of psychotechnics that support and enhance
NeuroWeb communications. Training programs for early users
General brain emulation to individual brain mapping
(that allows increasing precision of BCI operation and brain-brain communication)
2014 2018 2025
VIABLE &
SCALEABLE
NEUROWEB
MODEL
AROUND 2023-25
Experimenting with non-
verbal computer interfaces
14
15. AN INTERMEDIARY STEP: BEFORE NEUROWEB,
THERE WILL BE BIOMETRY-WEB
15
2014 2020 2030
Biometry-web: Internet communication that employs
intensive use of various biometry related data from
wearables, eye trackers, body motion & facial
expression recognition etc.
Neuroweb: Internet
communication employs
neural system readings
alongside biometry data
Biometry reading (for control, learning etc.): wearables (GSR,
myogram, pulse, temp, etc.), non-invasive neurointerfaces,
eye trackers, body & facial motion scan
High-res neurointerface
readings
Biometry meta-language: complex pattern recognition for
multi-dimensional space of body-and-mind states (presented
by combinations of indicators), supported by BigLiveData
Re-mapping of mult-dim
body-mind state space
as neural patterns
Biometry control: biofeedback training to help master the
variety of body-mind states + psycho-techniques that allow fast
switching between these states.
Biofeedback training &
techniques for neural pattern
activation
Artificial agents that mirror & support complex mental
activities controlled with biometry
Artificial agent-based
exocortex
Biometry-Web Rise of NeuroWeb
16. KEY ELEMENTS OF NEUROWEB ARCHITECTURE CREATION
16
2014 2020 2030
Network capacity growth:
User bandwidth est.10-100 Gbps. In principle, TCP/IP & ipv6 should be
enough (all of this should be created for IoT around 2025-2030)
Standardization of biometry transfer protocols for various wearable
applications, including transfer of neural data
(emergence of neuro:// standard?)
Creation of techno-mediums: artificial agents that maintain
individual maps of neural systems and relate them to external
interfaces (incl. ‘Language of NeuroWeb’)
Language of NeuroWeb: artificial agent that maintains the
‘universal language of mind’, including representations of part of
the mind that interact with external environment (verbal & non-
verbal) as well as ‘deeper’ states of mind
Ongoing development & improvement of neural interfaces
for higher precision & reliability, lower cost & easier installation
Biometry-Web Rise of NeuroWeb
17. TWO WAYS FOR NEURAL INTERFACE DEVELOPMENT
17
representation of
existing ’controls’
Growing complexity of technological environments has to be matched by the
complexity of control interfaces. This growth of complexity in control systems can be
achieved twofold:
• NATURALIZATION OF INPUTS: From highly limited input devices
such as keyboard and mouse we move to ‘natural interfaces’
that involve body pose (Kinect), muscle tension (Myo) or eye
focus (Tobii)
• DIRECT NEURAL INPUT: From ‘natural interfaces’ we move to
direct reading of neural patterns through neural interfaces
• INCREASED GRANULARITY: From basic neural readings we
move to more detailed high-resolution readings of neural
ensembles and individual neurons (e.g. ‘neural dust’)
creation of new
‘controls’
• OLD PONY, NEW TRICKS: Our body (or our neural system)
learns how to use sophisticated options provided by new
interfaces such as sequences of actions (in the same way as we
change gears when driving or use hotkeys when typing). These
sequences can be learnt e.g. through biofeedback training.
• LITTLE DEMONS: We can use Artificial Intelligence to support
complex mental operations that involve use of interfaces
(these AIs would shadow and then replicate our routinized
actions, becoming our personal replacements for routine
operations)
18. NEUROWEB ACCESS: POSSIBLE NEURAL INTERFACE SOLUTIONS*
NeuroWeb requires
high-precision
inexpensive
neurointerfaces that
can be tolerated and
used by the majority
of population (i.e.
minimal cultural
barriers to its use)
Non-invasive: low precision of neuron reading. Higher precision
requires special preparation (e.g. contact gel & skull shaving).
Suitable for basic manipulations (e.g. arcade gameplay) but not
for complex tasks.
Product examples: Emotiv, NeuroSky
Invasive implants: high precision of neuron reading. Electrodes or
optogenetic implants would allow induction of neuron states (not
only reading but also transfer of information). High cultural
resistance – most people reject the idea of implantation.
Product examples: medical applications (e.g. prosthetics control)
Invasive microimplants: high precision of neuron reading. Lower
chance of cultural resistance (implanted through injection, not
brain surgery, and not visible, which is more acceptable).
Product examples: ‘neural dust’ (no real product exists yet)
Non-invasive combinations: low precision neural interfaces +
additional body interfaces (wearables, body motion tracking, eye
tracking). Multiple channels compensate imprecision of neural
interfaces. Can work as an intermediary solution for NeuroWeb.
Product examples: no integrated products exist yet (elements of
technology available in the market: Kinect for motion tracking,
Tobii in eye tracking, Emotiv in neural interfaces, various wearable
solutions)
*Here we list only
feasible solutions that
already exist in various
design stages
18
19. BRAIN-BRAIN NEUROWEB COMMUNICATION: HARDWARE/SOFTWARE
AI1 AI2
NI1 NI2
Neural interface
level: reading of
actual synaptic states
and/or activation of
new neuron states
Artificial agent (most
likely, built into the
neural interface) uses
the map of individual
neural system to
convert to and from
digital signals received
from the Internet
Neural data is sent over the
network and can be additionally
stored, retrieved or processed by
artificial agents in the network if
necessary
‘Language of NeuroWeb’ is the semantic space of
neural pattern states that allows to convey greater
variety of states & meanings compared to
conventional interfaces. Most likely, this language
will be primarily based on same modalities as our
sensoric system.
Neural signal space should be
sufficiently detailed in order to
differentiate between different
brain patterns. The brain plasticity
implies that such patterns not only
will be read, but also created by
the brain specifically to use
interfaces
Interaction between neural
interface and accompanying AI
should be accompanied by their
mutual ‘training’
Map of individual neural system
should differentiate between
individual synaptic states
as well as neural ensemble
patterns
19
AI
20. MUTUAL ADAPTATION IN BIOMETRY-WEB & NEUROWEB INTERFACES
20
Artificial agents learns to mirror & support various
mental functions of an individual (that may also
become new ‘words’ in the ‘language of NeuroWeb’)
Artificial agent that maps & re-maps the semantic
space of individual body&mind states (represented
by biometric or neural patterns) and constantly
updates its matching to the ‘language of NeuroWeb’
Human agent that learns to use the variety of new
interfaces. Most likely, such interfaces will require that
an agent to enter specialized body-mind states,
especially in collective work – therefore, users of
Biometry-Web and NeuroWeb will be trained for
interface-specific psychotechniques (such training will
be provided, at least in part, by biofeedback devices).
AI
AI
21. BEYOND HARD TECHNOLOGIES: DESIGNING HUMAN
PROTOCOLS FOR NEUROWEB
2014 2020 2030 2040
Biometry-Web (pre-
NeuroWeb) [2014-24]
Rise of NeuroWeb
[2025-35]
Fully-fledged NeuroWeb
[2035+]
21
Developing ‘hard technologies’ of NeuroWeb:
network, BCIs, Ais, data protocols
Ultrafast learning technologies:
precursor for efficient exocortex use
‘Blue Mind’: BigData digital models
of mental processes
Studies of productive body-mind
states for collective intelligence
Digital & pharmaceutical control over
transition to productive body-mind states
Explication of tools & protocols for
control & directing of collective
intelligence processes
Collective intelligence in NeuroWeb: from
NeuroWeb-collectives to
‘mind forests’ (stable collective minds)
‘NeuroWeb language’: communication
protocols based on BigLiveData digital
models of mental processes
Experiments with
exocortex
Direct connection
exocortex-neurortex
22. PRESENTATION STRUCTURE
• Introduction
• Key elements of NeuroWeb design
• Implications for bodies, individual & collective minds
• User applications
• Organizational: how to make NeuroWeb live?
• Appendix
22
23. Future of individual minds
Future of collective minds
RISE OF AVATARS: Artificial agents that replicate
various mental functions (avatars) will multiple
through BigLiveData
DOORS OF PERCEPTION: Ability of control over
special states of consciousness
becomes a competitive advantage
BLURRED MIND BOUNDARIES: Rise of
augmented individuals, exocortex, collective
minds & multiple bodies
dissolves the boundaries of individual identity
BLURRED BODY BOUNDARIES: new sensory &
effector organs, body sharing & body co-ownership
will blur the body boundaries
RISE OF COLLECTIVE INTELLIGENCE as a key form of
complexity management
MIND FORESTS: Rise of stable collective minds that
also become the climax of personal
uniqueness & authenticity
HYBRID MINDS: Artificial intelligence becomes the
integrating technology for sustainable collectives
NEW TUNES: Control over shared non-verbal
experience becomes the way to tune
and coordinate processes of collective intelligence
?KEY TRENDS FOR BODY, INDIVIDUAL & COLLECTIVE MIND
Future of body
NATURALIZATION OF INTERNET INTERFACES: from special
input-output devices to organs in our bodies (in particular,
neural interfaces will become an integral part of the brain )
END OF EMBODIED MIND: Mind gradually becomes
independent (and possibly completely separated)
from the body over time
Boundaries of individual bodies &
minds become blurred, as new forms
emerge on the collective mind level
24. FUTURE OF BODY IN NEUROWEB
24
Blurred Body
Boundaries
• Human body will expand and include remote & distributed organs
and bodies (artificial or partially natural), such as remotely
controlled robots & devices. Over time, as humans start to get
cyber augmentations, their own individual bodies will also become
available to access from others, with option of body sharing.
Radical Longevity
• Radical longevity technologies will develop, including emergence of
cyber-bodies, nano- and bio-technologies that will allow to restore,
adjust and transform the body if necessary.
Naturalization of
Neural Interfaces
• Initial interfaces may be electrode implants or non-invasive
solutions, that will be later replaced by microinvasive implants. In
the longer run, there is a possibility of a ‘NeuroWeb port’ organ
that can be grown as a natural part of neural system.
Digital
Immortality
• The emergence of fully-fledged digital copies of individuals in the
Net may put forward a practical question of digital immortality, a
possible ‘life’ of the body-independent mind in the Net. At this
stage, we know too little about the mind and the self to understand
whether ‘digital immortality’ is possible at all.
Black Swan
25. FUTURE OF INDIVIDUAL MIND IN NEUROWEB
25
Rise of Avatars
• BigLiveData models of individual activities will transform into artificial
agents that will support daily routine activities of individuals (i.e. digital
copies of particular behavioral patterns replicated by articifical agents).
Players which can provide such agents will be BigData operators like
Google.
Doors of
Perception
• As more routine functions will be transferred to such agents, the
demand for unique skills & abilities increases. Productive use of special
states of consciousness will be among the primary ways to find the
personal uniqueness.
• Special states of consciousness can also help productive work in
NeuroWeb (getting sufficiently ‘transparent’ mind to interact with
other individuals & groups in NeuroWeb). NeuroWeb ‘driving license’
will require the basic control over such states of consciousness.
Blurred Mind
Boundaries
• Agents develop into quasi-independent sub-personalities of an
individual that can act on his/her behalf. Ultra-fast learning tools are
used to synchronize between these agents and an individual (over time
these tools will evolve into direct download from exo-cortex to neuro-
cortex). As every individual becomes a cloud of natural & digital sub-
personalities, the boundaries of the individual mind dissolve.
• Mind becomes gradually independent from specific natural & artificial
embodiments, and starts to fluctuate in the Net between multiple
collective minds. (Individual mind becomes a ‘spot’ in NeuroWeb)
26. FUTURE OF COLLECTIVE MIND IN NEUROWEB
26
Rise of Collective
Intelligence
• First NeuroWeb groups emerge as pragmatic solutions for complexity
management of strategic & operational tasks. They are based on new
standards of collective intelligence (and, potentially, new types of
thinking) with the support of exocortex. Such groups will often include
not only humans connected via Neuroweb, but also cyberbodies and
non-antropomorphous robots.
Hybrid Minds
• NeuroWeb group communication & operation is supported by next
generation Artificial Interlligence, most likely based on deep learning
architecture & quantum computing.
Shared
Experiences
• Transition of NeuroWeb group technologies into mass market
applications allows to launch mass-scale NeuroWeb services, e.g.
transfer of individual experiences and body-mind states (primarily in
domains of education & entertainment: neuro-teaching, neuro-gaming,
neuro-dreaming etc.)
• Shared experiences are used to tune the creation & coordination of
NeuroWeb groups (in the same way as tribal trance practices). They
become collective rhythms of the new kind
Psychozoic Era
• Distributed & shared bodies, co-use of artificial parts of mind in
exocortex, shared access to natural neural networks and other possible
NeuroWeb technologies create a multitude of hybrid forms of multi-
body multi-mind natural& artificial structures. This leads to ‘Psychozoic
Explosion’ of various collective mind forms embedded in biological,
artificial and virtual substrates.
27. NEUROWEB EVOLUTION: IMPLICATIONS FOR BODIES & MINDS
27
2025 2035 2045
Bodies • distributed bodies with
artificial components
• mass use microinvasive
neural interfaces allow
Neuroweb access
• ‘I change bodies’: bodies
with shared access
protocols, use of multiple
bodies
• Neuroweb access organ
(gene modification)
• ‘digital immortality’?
(mind can exist
independently from
body in the Web)
[BLACK SWAN
POSSIBILITY]
Individual
minds
• protocols for transfer of
images, thoughts,
emotions & mental
states (AI-supported)
• NeuroWeb access
protocols supported by
altered states of
consciousness
• age of ‘threats to identity
& privacy’ (neural hacking
and its consequences)
• augmented individuals
(ultra-fast, ultra-strong,
highly creative etc.) that
exist in post-verbal reality
• total transparency
of individual lives
• individual minds are
‘spots’ in NeuroWeb
blurred multi-
personal
environment
Collective
minds
• ‘neural collectives’ for
complex coordination &
design tasks (supported
by strong AIs) that use
multiple bodies with
non-antropomorphic
artificial components
(e.g. combat groups)
• first ‘mind forests’: stable
forms of hybrid collective
embedded minds with
artificial components
(emergence of collective
meta-minds)
• Psychozoic Era:
explosive
emergence of
multitude of forms
of collective &
hybrid minds
28. ‘CLOUD OF THREATS’ TO BE MITIGATED
28
2014 2020 2030 2040
Biometry-Web (pre-
NeuroWeb) [2014-24]
Rise of NeuroWeb
[2025-35]
Fully-fledged NeuroWeb
[2035+]
New Mowgli & ‘dyslexic generation’:
software-based education from very early
age (without properly designed new
pedagogy) may give rise to a new generation
which lacks important skills such as verbal
communication or abstract thinking
Cognitive myopia & T9-zation: use of solutions
that prompt user choices (incl. those in
neuromarketing) may lead to degradation of
complex cognitive functions (e.g. strategic & long-
term thinking) in a substantial share of population
Psycho-Divide: groups that actively explore
NeuroWeb options (incl. altered states of
consciousness) will get advantages over the rest of
population, the separation leading to severe
conflicts. Some groups may collectively enter into
states of mind labeled by others as insanity.
Neural hacking: individuals may be ‘hacked’
through NeuroWeb, their memories or
experiences stolen or altered, and risk to mental
health inflicted
Dogs on the leash: corporations &
government agencies may seek to control
NeuroWeb on the ground of its risks to
population – with possible abuses of
power & potential for total mental control.
29. NEUROWEB ETHICS: BIG QUESTIONS
29
Who is the
subject of
action?
Transformations driven by NeuroWeb creation will induce changes in the fundamental protocols of
the human cultures, including ethical rules and norms. In particular, the shifts in individual &
collective body & mind organization will put forward big questions such as:
Emergence of new types of subjects
(collective ‘mind forests’, distributed
robotic bodies controlled by AIs,
hybrid human-machine minds etc) will
challenge ethics based on the
assumption that the key acting
subject is a human individual.
• What will be the individual mind in the ‘ocean of
collective consciousness’ in NeuroWeb, especially as
the detachment of mind from body might occur?
• How will collective subjects be identified, and what
will be the rights of such subjects?
• What will be the rights of human-level artificial
intelligent subjects?
What are the
boundaries of a
subject?
NeuroWeb-related
technologies will blur the
boundaries between ‘self’
and ‘other’, ‘natural’ and
‘artificial’, ‘living’ and
‘non-living’, etc.
• Is it ethical to destroy artificial agents (incl. artificial sub-personalities
owned by oneself and others)?
• Artificial bodies – can they be co-owned and co-used by different
individuals, is it ethical to access and use someone else’s body part,
and on what terms?
• As robots and AIs will become parts of our personalities in
NeuroWeb, to what extent we will remain humans and not machines
(hence the question of free will)?
• As we move forward on the path of self-transformation, introducing
greater modifications of minds and bodies, what human motivations
will remain? What will happen to deepest manifestations of
interhuman relations such as love, friendship etc.?
Control over
NeuroWeb
• Should governments control minds of their citizens to prevent
negative consequences of NeuroWeb, or let citizens use open
relational protocols for the potential emergence of positive
consequences?
NeuroWeb technologies will
pose major risk for the
future traditional social
institutions, including states
30. NEUROWEB ETHICS: IN SEARCH OF ANSWERS
Elements of future ethics:
• (interiorized ethics that was tacitly translated through cultural norms will be replaced by)
exteriorized and transparent set of community- and context-specific behavioral rules that are
supported by quantitative evaluation systems: e.g. gamified bonus systems and achievement
badges, new currencies (game currencies, local currencies, creative currencies etc.)
• ‘total transparency’ of human societies (hence the requirement for authentic & sincere
behavior) will become the ground for establishment of new ethical foundations within human
social groups
• artificial agents will serve as translators not only between domains of knowledge & meanings,
but also between ethical systems of groups / communities (this poses a threat to conventional
ethical systems, as such translations may deviate from original meanings)
• through NeuroWeb the new subject of action will emerge, and it is Humanity as a whole. Rights
and qualities of this subject are unclear, but its actions will be evident
Implications:
• traditional holders of systems of ethics, the religion and the state, come under attack, since
they do not retain any exclusive right to hold this position
• the revisal of ethical systems again becomes an important and a highly applied task that will
require the collective contribution of the greatest minds of our time
• design of ethical systems becomes a concise community-based process, and communities with
experimental ethical systems emerge in the NeuroWeb (in the same way as modern web
communities model wars, political and economic competitions)
• NeuroWeb development will require the ‘ethics designer toolkit’, an explicit and a universal
system for design of community-based behavioral rules
30
31. PRESENTATION STRUCTURE
• Introduction
• Key elements of NeuroWeb design
• Implications for bodies, individual & collective minds
• User applications
• Organizational: how to make NeuroWeb live?
• Appendix
31
32. HOW WILL NEUROWEB RELATED REALITY LOOK LIKE?
32
AROUND 2020 AROUND 2030 AROUND 2040
• Biometric wearables become
commonplace. Biometry-
related data actively
employed in healthcare and
behavior-related games
• Biometry enters education:
biometry-adjusted learning,
body-mind states learning
• Neurally controlled
prosthetics becomes
widespread
• Experiments on first groups
connected by neural
interfaces
• Semantic web solutions
• Human-computer interfaces
based on natural verbal &
non-verbal interactions
• First wave of NeuroWeb
solutions in the market
• Dementia, epilepsy and other
brain disorders largely
eliminated
• Artificial agents actively used
to support thinking & acting
• Personalized smart-drugs
• Personalized computer-aided
lifelong learning dominates
education
• Special-state-of-consciousness
training for productive
NeuroWeb use
• Domestic robotics & IoT
become commonplace
• Widespread realistic virtual
worlds & augmented reality
• NeuroWeb takes 40-50%
human Internet
connection
• Organizations and
networks rebuilt around
NeuroWeb solutions
• NeuroWeb based
entertainment &
education
• Personal human-level
Artificial Intelligence
supporting daily routines
becomes widespread
33. POTENTIAL APPLICATIONS OF NEUROWEB
33
The emergence of NeuroWeb gives new qualities to individual users at least across
three dimensions: speed, depth & range of communications.
Quality Why this quality is achieved
Speed Data processing by natural sensory systems & brain subsystems can be replaced
by computer processing. Reaction time gains can be between 20-100
milliseconds
Potentially, it will also be possible to bypass natural learning mechanisms and
activate neural ensembles for direct ultra-fast learning (theoretically possible,
but no apparent engineering solutions are foreseen yet)
Depth
(natural
functions
performed
more efficiently)
Direct reading of information from brain and transfer into brain allows more
precise communication that allows to convey meanings, emotions & states of
mind
Natural mental functions can be supported & enhanced by artificial agents that
mirror them: e.g. large expansion of memory, enhancement of calculative
abilities & abstract thinking etc.
Range
(additional
artificial
functions)
Enhancing body with additional sensory & effector organs, even with no direct
representation in human anatomy (e.g. dosimeters, flying manipulators etc.)
Accessing to deeper areas of the brain bypassing the normal process of their
activation could lead to unusual & exciting experiences
Similar applications for higher animals can create potential for their verbal
communication with humans, or development of their new mental qualities
such as thinking
34. POTENTIAL APPLICATIONS OF NEUROWEB (2)
34
NeuroWeb enhancement Area of application Feasibility
Increased reaction speed Anywhere where reaction time is important, e.g. military, sports,
gaming, industrial & transportation operations etc.
High
Increased learning speed Ultra-fast learning in education & work through ‘direct download’
(esp. work of NeuroWeb collectives)
Low
More precise (even direct)
communication of emotions,
states of mind & experiences
Applications in entertainment & education: sharing experiences
with other, enhancing learning & entertaining processes
Group therapy in virtual worlds
Medium
Enhancement of mental
functions by artificial agents
that mirror them
Augmented individuals in all areas of economic & social life, as
well as in healthcare. Full copies of mind in the Net – a path to
‘digital immortality’?
Medium
Enhancing body with additional
sensory & effector organs
Healthcare, industrial, military, sport & daily applications of
enhanced bodies
High
Direct communication with
deeper brain structures
Application in entertainment (incl. ‘explorations of mind’ such as
artificially constructed emotions, neuro-dreaming, neurosports)
Low
Verbal & neural communication
with higher animals
Large opportunities for new level of communication &
collaboration with higher animals
Medium
NeuroWeb technologies would unlock an immense variety of applications across all
domains of human activity (partially these opportunities will be unlocked with Biometry-
Web). Some examples of these applications are given below (and their feasibility
estimate given current technological level).
35. TWO KEY USER GROUPS DURING EARLY YEARS OF NEUROWEB
35
Organizational Individual
Customers
Industry Government Entertainment Education
• operational control
over complex
technical systems
(collective
dispatching) [plants,
city services,
spaceships etc.]
• development of
complex
architectural /
engineering
solutions (esp. early
stages of design)
• military & emergency
applications (special
task combat force,
emergency operation
centers etc.)
• collective control
over government
functions (e.g.
collective intelligence
for government
decision making)
• enhanced games &
movies
(‘Sensoriums’)
• shared experiences
& states of mind
(incl. neuro-
dreaming)
• neurogaming &
neurosports
• NeuroWeb groups
for massive
multiuser online
gaming (strategy,
arcades etc.)
• direct control over
learning efficiency,
engagement etc.
• learning of body-
mind state control
• group therapy &
personal
transformation in
NeuroWeb
‘psychodrama
worlds’
• ultra-fast learning
in NeuroWeb
Beyond individual applications,
NeuroWeb will be intensively
used to work with various forms
of collective intelligence
36. TWO MAIN SCENARIOS OF NEUROWEB PROLIFERATION
36
Scenario 1 Scenario 2
Primary driver Organizational users Consumers
Value
proposition
Increased efficiency in
complex environments
Unusual experiences
‘Quantified self’ control over aspects
of life
First
applications
Focused applications of
NeuroWeb collectives in
industrial operations,
distributed design,
emergency control and
military applications
Special applications of neural
technologies that cannot be
provided by technologies based on
natural sensory & effector systems
(e.g. direct control over learning
process in distant learning, teaching
body-mind states through
biofeedback & gaming etc.)
Spillover Creation of NeuroWeb
collectives in entertainment
(e.g. gaming) and education
(group learning)
Organizational applications in HR
area (e.g. team building, increased
productivity etc.)
37. PRESENTATION STRUCTURE
• Introduction
• Key elements of NeuroWeb design
• Implications for bodies, individual & collective minds
• User applications
• Organizational: how to make NeuroWeb live?
• Appendix
37
38. CAN NEUROWEB CREATION BECOME AN OPEN PROCESS?
• It is highly probable that within the next decade first commercial NeuroWeb
prototypes will be created by one or several corporate or government
players that will attempt to define the standards of this new generation of
networks
• However, we believe that the importance of NeuroWeb for the future of
civilization, and the potential that it holds for the evolution of humankind,
require that its design should be made through open collaboration of
researchers, engineers and future users, and that its essential backbone
technologies should belong to all of humanity.
• The present stage of NeuroWeb development is a stage when the principles
of its design and operation can be defined (in the same manner as early
Internet designs and defining protocols were created by J.C.R. Licklider,
R.Kahn & V.Cerf, T.Berners-Lee and others)
• The Council of NeuroWeb could become an international working group
that seeks to close interdisciplinary gaps and maintain a productive
roadmap for NeuroWeb development through interaction of key
stakeholders and ‘big-think’ visionaries.
38
39. THE TECHNOLOGY-FOCUSED CORE OF THE COUNCIL
SHOULD BE SUPPORTED BY USER APPLICATION DESIGNERS
& ‘BIG THINK’ VISIONARIES
Core of the Council:
Neurophysiologists & Engineers
• Neurophysiologists, BCI and
biodeedback systems
developers
• Cognitive scientists &
psychologists
• Collective Intelligence experts
• Artificial Intelligence specialists,
semantic web , semantics and
linguistic technology specialists
• Network protocol developers,
programmers and engeneers
Future application co-designers
• Healthcare
• Wellness Industry
• Psychotherapy
• Education &
Child Development
• Media & Entertainment
39
‘BigThink’ experts
• Futurology
• Big History & evolutionary
thinkers
• System & complexity thinkers
40. ELEMENTS OF COLLECTIVE WORK
Foresight
Research &
development
(in partner
institutions)
Startups &
other
applications
International NeuroWeb Council
(annual meetings & ongoing interactions)
Inter-university program(s) MSc Neuroinformatics
with foresight & project-based learning components that become
‘breeding grounds’ for NeuroWeb experts & technologies
40
NeuroWeb Council could help maintain the dialogue between key stakeholders
through Foresight, help coordinate independent research efforts & applications for
mutual benefits, and support a focused (international) educational program
41. OUR WORK PLANS
2013 2014
Creation of Russian
NeuroWeb group,
Russian NeuroWeb
Foresight (2013)
Continuing work on research & application projects
initiated through foresight
Creation of international
working group & Global
NeuroWeb Foresight (2014)
412015 2016
Continuing work of
International NeuroWeb Council
Launch of (international) educational program in
Neuroinformatics (2015)
Launch of a Foundation to help
finance applied projects in
NeuroWeb (2015-16)
42. TO ALL OUR FUTURE PARTNERS: WHAT WE CAN DO TOGETHER
1. Provide us with feedback on our NeuroWeb ‘map of the future’
in this presentation, and link us to other interested parties
2. Participate in (or otherwise support) our International Foresight
aimed to create the Global NeuroWeb Roadmap in 2014
3. Participate in (or otherwise support) the International
NeuroWeb Council aimed to coordinate research efforts that
work towards creation of NeuroWeb technologies (including
the support of international R&D cooperation)
4. Participate in (or otherwise support) the design & hosting of
the international Master program in Neuroinformatics
5. Organize (or otherwise support) events that help promote
NeuroWeb concepts & cause
6. Collaborate with Group or Council members on specific
research / application projects that can help advance
NeuroWeb
42
43. PRESENTATION STRUCTURE
• Introduction
• Key elements of NeuroWeb design
• Implications for bodies, individual & collective minds
• User applications
• Organizational: how to make NeuroWeb live?
• Appendix
43
44. LEADERS OF NEUROWEB ROADMAP PROJECT
Dr. Pavel Luksha, co-founder`
Professor of SKOLKOVO Moscow School of Management. Member of Expert
Council of the Agency for Strategic Initiatives, co-founder of Russian R&D Directors
Club. Expertise in education and mentoring of technological startups and executive
teams focused on R&D and innovation.
Leader of Education 2030, Skills 2030 and NeuroWeb Foresight projects, author of
Future Agendas for Global Education, creator of Rapid Foresight methodology.
Co-leader of RF Group (refuture.me), leading Russian think-and-do tank in
education. Program Director of Russian Foresight Fleet (largest future-awareness
educaton project in the world).
Research in evolutionary economics, information theory & systems thinking.
Dr. Timour Shchoukine, co-founder
CEO at wetware.ru – biofeedback and neurointerface research laboratory. Subliminal
biofeedback and collective biofeedback methods creator. 15 years of biofeedback
practice experience. Biofeedback device startup co-founder.
Initiative 2045 co-founder (responsible for scientific expert work, technological
project roadmap creation, research project planning & management, volunteers
network creation and managemen)
Expert in invention problem solving (TRIZ) methodology.
Team member of Education 2030 & Skills 2030 Foresights, RF Group.
Co-leader of NeuroWeb Foresight.
Research in Biofeedback methodology, AI-based image recognition in EEG analysis.
Co-author of several science-art biofeedback based projects.
Researcher at Psychosemantics laboratory of Psychology department of Moscow
State University, Russia 44
45. ORGANIZATIONS SUPPORTING RUSSIAN NEUROWEB PROJECT
45
Russian Venture Company
Neurobotics
Center for Strategic
Research North-West
Alpha Smart Systems
Council on Artificial
Intelligence, Institute of
Philosophy, RAS
Optical Neural Technology
Research Center, System
Studies Institute, RAS
Laboratory for Neurophysiology
and Neuro-Computer Interfaces,
Moscow State University
Institute of Psychology,
Russian Academy of Sciences
2045 Strategic Social
Initiative
Future Biotech Russia
46. KEY MEMBERS OF RUSSIAN WORKGROUP
Professor Alexander Kaplan
Neurophysiologist, founder of the first Russian
Laboratory on Neuro-Computer Interfaces, Moscow
State University
Professor Vitaly Dunin-Barkovsky
Head of the Neuroinformatics group of the Optical
Neural Technology Center, Russian Academy of
Sciences
Professor David Dubrovsky
Chief of the Research Council on Artificial
Intelligence, Russian Academy of Sciences
Professor Petr Schedrovitsky
Vice-director of Philosophy institute, Russian
Academy of Science. Key Russian expert on
Collective Intelligence
Professor Akop Nazaretyan
Senior Research Fellow of the Oriental
Institute, Russian Academy of Sciences. Key Russian
expert in Big History
Dr. Anatoly Levenchuk
President of TechnoInvestLab (leading Russian
advisory in complex systems engineering &
semantic data integration, member of ISO15926)
Dr. Vladimir Konyshev
CEO Neurobotics (leading Russian technological company in
the area of neural & biometry interfaces, and BCI-controlled
robotics)
Dr. Dmitry Kuzmin
Research Associate in Neuroscience, University College
London. Chairman of Future Biotech, partner at RusBio
Ventures
Dr. Anatoly Prokhorov
Executive producer, media&educational project ‘Smeshariki’
(Kikoriki), Vice-President of National Children Foundation.
Oleg Bakhtiyarov,
Head of Psychonetics Laboratory (leading research center
on new pscyhotechnics that support collective intelligence
& complexity management)
Dr. Dmtry Bulatov
Senior curator at National Centre for Contemporary Arts.
Key Russian expert on science art employing neuro-
technologies.
Alan Francis
Master at Taoist and Gurgieff traditions, co-founder of
Oregon/Portland Gurdjieff Foundations.
46