This presentation lists some brain-computer interface technologies that exist today and that could be attainable in future. At the end, philosophical comments about this kind of technology and transhumanism are purposed, in order to reveal the key difference between a humain brain and artificial intelligence.
A brain-computer interface (BCI), sometimes called a mind-machine interface (MMI), or sometimes called a direct neural interface (DNI), synthetic telepathy interface (STI) or a brain-machine interface (BMI), is a direct communication pathway between the brain and an external device. BCIs are often directed at assisting, augmenting, or repairing human cognitive or sensory-motor functions.Research on BCIs began in the 1970s at the University of California Los Angeles (UCLA) under a grant from the National Science Foundation, followed by a contract from DARPA.[1][2] The papers published after this research also mark the first appearance of the expression brain-computer interface in scientific literature.The field of BCI research and development has since focused primarily on neuroprosthetics applications that aim at restoring damaged hearing, sight and movement. Thanks to the remarkable cortical plasticity of the brain, signals from implanted prostheses can, after adaptation, be handled by the brain like natural sensor or effector channels.[3] Following years of animal experimentation, the first neuroprosthetic devices implanted in humans appeared in the mid-1990s.
Brain Computer Interface and Artificial Brain: Interfacing Microelectronics a...Lk Rigor
Signals from the brain can be processed to improve quality of human life. Such is the aim of biotechnology, to harness cellular and biomolecular processes to develop technologies that can improve human life. How can brain computer interface (BCI) and artificial brain achieve that?
A brain-computer interface (BCI), sometimes called a mind-machine interface (MMI), or sometimes called a direct neural interface (DNI), synthetic telepathy interface (STI) or a brain-machine interface (BMI), is a direct communication pathway between the brain and an external device. BCIs are often directed at assisting, augmenting, or repairing human cognitive or sensory-motor functions.Research on BCIs began in the 1970s at the University of California Los Angeles (UCLA) under a grant from the National Science Foundation, followed by a contract from DARPA.[1][2] The papers published after this research also mark the first appearance of the expression brain-computer interface in scientific literature.The field of BCI research and development has since focused primarily on neuroprosthetics applications that aim at restoring damaged hearing, sight and movement. Thanks to the remarkable cortical plasticity of the brain, signals from implanted prostheses can, after adaptation, be handled by the brain like natural sensor or effector channels.[3] Following years of animal experimentation, the first neuroprosthetic devices implanted in humans appeared in the mid-1990s.
Brain Computer Interface and Artificial Brain: Interfacing Microelectronics a...Lk Rigor
Signals from the brain can be processed to improve quality of human life. Such is the aim of biotechnology, to harness cellular and biomolecular processes to develop technologies that can improve human life. How can brain computer interface (BCI) and artificial brain achieve that?
Some futurists and artificial intelligence experts envision credible scenarios in which synthetic brains will, within this century, extend the functionality of our own brains to the point where they will rival and then surpass the power of an or-ganic human brain. At the same time, humans seem to have no limitations when it comes to finding ways to attack the computerized devices that others have invent-ed. Attackers have successfully compromised computers, mobile phones, ATMs, telephone networks, and even networked power grids. If neural devices fulfill the promise of treatment, and enhance our quality of lives and functionality—which appears likely, given the preliminary clinical success demonstrated from neuropros-thetics— their use and adoption will likely grow in the future. When this happens, inevitably, a wide variety of legal, security, and public policy concerns will follow. We will begin this article with an overview of brain implants and neural devic-es and their likely uses in the future. We will then discuss the legal issues that will arise from the intersection among neural devices, information security, cybercrime, and the law.
The Blue Brain, a Swiss national brain initiative, aims to create a digital reconstruction of the brain by reverse-engineering mammalian brain circuitry. The mission of the project, founded in May 2005 by the Brain and Mind Institute of the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, is to use biologically-detailed digital reconstructions and simulations of the mammalian brain (brain simulation) to identify the fundamental principles of brain structure and function in health and disease.
It is said that within 30 years we will be able to scan ourselves into computers.
This is a complete report on the topic BLUE BRAIN TECHNOLOGY.It's a very big project and it is also very much costly and IBM is working on this project .EPFL(Ecole Polytechnique Federal de lausaane) working on this and swiss government providing the funding to this project and on movie maker is also making a movie on this technology.There is a youtube channel is also available.
This PPT contains the basic information regarding the Brain Computer Interface technology. You can find the detailed presentation file here under the heading "Brain Computer Interface WORD FILE"
Brain Computer Interface (BCI) aims at providing an alternate means of communication and control to people with severe cognitive or sensory-motor disabilities. These systems are based on the single trial recognition of different mental states or tasks from the brain activity. This paper discusses the major components involved in developing a Brain Computer Interface system which includes the modality to obtain brain signals and its related processing methods.
A brain–computer interface (BCI), is a direct communication pathway between the brain and an external device.
Ever wondered how it works? What are different types of BCI?
Find out more about Brain Computer Interface (BCI) in this presentation from Extentia Information Technology.
This presentation is given in (2015) . As the power of modern computers grows alongside our understanding of the human brain, we move ever closer to making some pretty spectacular science fiction into reality.
Some futurists and artificial intelligence experts envision credible scenarios in which synthetic brains will, within this century, extend the functionality of our own brains to the point where they will rival and then surpass the power of an or-ganic human brain. At the same time, humans seem to have no limitations when it comes to finding ways to attack the computerized devices that others have invent-ed. Attackers have successfully compromised computers, mobile phones, ATMs, telephone networks, and even networked power grids. If neural devices fulfill the promise of treatment, and enhance our quality of lives and functionality—which appears likely, given the preliminary clinical success demonstrated from neuropros-thetics— their use and adoption will likely grow in the future. When this happens, inevitably, a wide variety of legal, security, and public policy concerns will follow. We will begin this article with an overview of brain implants and neural devic-es and their likely uses in the future. We will then discuss the legal issues that will arise from the intersection among neural devices, information security, cybercrime, and the law.
The Blue Brain, a Swiss national brain initiative, aims to create a digital reconstruction of the brain by reverse-engineering mammalian brain circuitry. The mission of the project, founded in May 2005 by the Brain and Mind Institute of the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, is to use biologically-detailed digital reconstructions and simulations of the mammalian brain (brain simulation) to identify the fundamental principles of brain structure and function in health and disease.
It is said that within 30 years we will be able to scan ourselves into computers.
This is a complete report on the topic BLUE BRAIN TECHNOLOGY.It's a very big project and it is also very much costly and IBM is working on this project .EPFL(Ecole Polytechnique Federal de lausaane) working on this and swiss government providing the funding to this project and on movie maker is also making a movie on this technology.There is a youtube channel is also available.
This PPT contains the basic information regarding the Brain Computer Interface technology. You can find the detailed presentation file here under the heading "Brain Computer Interface WORD FILE"
Brain Computer Interface (BCI) aims at providing an alternate means of communication and control to people with severe cognitive or sensory-motor disabilities. These systems are based on the single trial recognition of different mental states or tasks from the brain activity. This paper discusses the major components involved in developing a Brain Computer Interface system which includes the modality to obtain brain signals and its related processing methods.
A brain–computer interface (BCI), is a direct communication pathway between the brain and an external device.
Ever wondered how it works? What are different types of BCI?
Find out more about Brain Computer Interface (BCI) in this presentation from Extentia Information Technology.
This presentation is given in (2015) . As the power of modern computers grows alongside our understanding of the human brain, we move ever closer to making some pretty spectacular science fiction into reality.
A Brain-Computer Interface (BCI) provides a new communication channel between the human brain and the computer. The 100 billion neurons communicate via minute electrochemical impulses, shifting patterns sparking like fireflies on a summer evening, that produce movement, expression, words. Mental activity leads to changes of electrophysiological signals.
Presentation on Brain Computer Interface. It describes how our brain is used as a signaling mechanism for computer. different types of BCIs and its applications.
A Brain computer interface is the direct communication pathway between wired brain and external device.
Brainware University
https://www.brainwareuniversity.ac.in/
A Brain –computer Interface (BCI) is a technology which allows a human to control a computer, peripheral, or other electronic device with thought.
The computer translate electric signals into data which is used to control a computer or a device linked to a computer
This word file consists of a detailed introduction to the brain computer interface technology which is still a sophisticated technology. You can find its PPT under the heading "Brain Computer Interface PPT".
We are taking the paper presentation of Blue brain technology concept here we include the definition of blue brain, How
it is possible? , Uploading human brain, what is virtual brain, function of a brain, advantages and disadvantages of blue brain
technology? With the advancement in technology, human, the ultimate source of information and discovery should also be preserved.
In other words, human is does not live for thousands of years but the information in his mind could be saved and used for several
thousands of years. So, even after the death of a person we will not lose the knowledge, intelligence, personalities, feelings and
memories of that man that can be used for the development of the human society.
What makes us humans different from animals? Culture? The ability to make tools? The language? Morality? Art? This presentation will show us that these criteria alone are not enough to explain what makes us different from animals.
Can christian schools continue to teach only about traditional marriage2idseminar
An approach to the big general issue whether faith schools should be allowed to teach based on their fundamental beliefs and discriminate amongst teachers and students because of their faith.
Causality from outside Time
Alfred Driessen
Talk presented at the 21th International Interdisciplinary Seminar, Science and Society: Defining what is human
Netherhall House, London, 5-1-2019
Content
Introduction
Time in Relativity
Time in Quantum Mechanics
Conclusions
Conclusions from this study:
There are causes beyond the realm of science,
- they are not observable by physical or scientific means
- the effects of these causes, however, are observable by physical and scientific means.
Physics is not complete.
The presentation has two parts. In the first one, we review a series of studies that compare the efficacy of learning with "digital teachers" as opposed to learning with normal teachers. In the second part, we make several considerations from different points of view that may be helpful to answer the question.
The CRISPR/CAS9 genome editing system and humans2idseminar
This is a brief introduction to the CRISPR/Cas9 genome editing technique and a quick review of two articles that have to do with potential applications in humans. There is a draft for an ethical reflexion.
Achilles, the Tortoise and Quantum Mechanics2idseminar
Achilles, the Tortoise and Quantum Mechanics
Alfred Driessen
prof. emer. University of Twente
In several places of his Physica Aristotle analyzes the famous antimony of Zeno about the competition between Achilles and the Tortoise. He emphasizes that any movement, or more general any change, is actually a continuum, i.e. an unity. It depends on the specific movement or change whether this continuum is potentially divisible in parts. In fact, there could be certain minima of the division. In line with this approach, Quantum Mechanics states that there are minima or quanta of movement (or change), with other words, there are no gradual changes in the world of micro- and nano-structures. This behavior is completely unexpected when starting with the mechanistic approach of classical physics.
Taking another finding of Aristotle, the four aspects of causality including final cause, one gets another ingredient of Quantum Mechanics. Movements and changes are not only influenced by the initial state -describing the present situation- but also by the final state which takes account of the future situation. As an example one may mention Fermi’s golden rule, where the initial and final state symmetrically determine the transition probability.
Bringing these two philosophical concepts of Aristotle together namely quanta of movement and final cause, a new light is shed on fundamental issues in Quantum Mechanics. One may mention the experimental evidence for contextuality, which is considered one of the weird phenomena in Quantum Mechanics. As illustration, some of the examples of experiments with optical microresonators are given.
This talk has been presented at the 20th International Interdisciplinary Seminar "Can Science and Technology Shape a New Humanity", Netherhall House, London, 5-1-2018
This presentation lists some brain-computer interface technologies that exist today and that could be attainable in future. At the end, philosophical comments about this kind of technology and transhumanism are purposed, in order to reveal the key difference between a humain brain and artificial intelligence.
A presentation about Infinite Chess and the difference between man and machines. From works by C.D.A. Evans and J.D. Hamkins. Presented during the International Interdisciplinary Seminar of London, January 2018.
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.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
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/
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
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.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transhumanism and brain
1. Transhumanism and brain
According to the website Futurism, machines will be endowed with an introspective
awareness in 2029 and, in 2099, a robot will be able to dream, innovate and invent
(https://futurism.com/images/the-dawn-of-the-singularity/). If these technological
exploits come true, human beings will have serious reasons to worry about their
safety, their dignity, and all what make them so specific, so different from all the rest
of creation. Indeed, for the first time of its history, humankind will meet creatures
which can compete with it in every facet of intelligence. Are these fears
well-founded? Are all the artificial powers described in this picture workable? What is
a matter for science fiction and for reality? Our short presentation will try to answer to
these questions, by showing to what extent an “after singularity” period will be
possible.
First, we will show what are current technologies that serve as an interface between
human brain and artificial intelligence. Then, we will see what brain computer
interface technologies seem realizable for tomorrow. At last, we will suggest a more
philosophical approach to deal with the subject about transhumanism and brain.
I/ Current technologies (Ambroise and Julien)
The first links established between the nervous system and informatics have
appeared with new treatment following spinal cord injuries. One example involves a
patient with cervical damage who had lost movement of his hand. He underwent the
implementation of a microelectrode array in his cortex after an RMI had found which
area was involved when he would be trying to move his hand. The electric impulse
caught by the electrodes was then transmitted to a PC where the signal was treated
and sent back to the forearm directly to the muscle. To interpret the brain messages,
a correlation is drawn between neural activity and the wanted output force to the
hand. A software was used to clean the data and keep over 80% of the original
signal into the network. This way the signal could be tweaked to get the appropriate
response rate from the signal to the hand. This shows how current BCI technology is
already able to interpret some brain signals in a comprehensible manner.
More generally, by using simpler method a lost leg or arm can be replaced by a
bionic member. Those members use electrical mechanism as replacements to actual
muscles. Such replacements have been made widely commercially available.
Electrodes are located on the upper part over the lost member and receive the
electrical signal from sinews. The data received can then be treated through a piece
of software and sent back to the bionic arm or leg.
2. However it has appeared that this methodology didn’t prove to always interpret
accurately the movement wanted. For example, the complex gestures made by a
hand and fingers may prove hard to replicate with a simple signal analysis. This is
why machine learning has imposed itself as a viable solution to this issue.
In this perspective, a study whose results were published at the beginning of last
year underpins how visual based assistance technology can improve dramatically
the “handling” of the bionic hand.
The research conducted aimed at training a market available hand prosthesis to
grasp and pinch objects in different manners. The camera used on those hands
would offer the system to better appreciate distances, sizes and others of the objets
to catch. After training the system over a vast bench of trials and data sample, once
used by a real amputated human, the bionic hands would reach a very high rate of
successful grasping even though the amount of visual information available was
diminished significatively. This technology illustrates how BCI can be further
enhanced with machine learning.
Starting a few years ago, several research groups have been working on human
cowbayes to understand the formation of memories and to establish a computer link
to the hippocampus. One such trial has been conducted by a medical team in
California is looking for a way to cure epilepsy seizures.
The team was looking into the brain to understand where the seizures originated
from, and this study as a turn could be used to understand how brain signals can be
interpreted. Such an understanding would help to model an interaction between
human brain and an AI. Kernel, the company behind this research aims at designing
a neuroprosthesis using less invasive technology, like genetically modified neurons
or little injected devices. They try to codify images and memories with the sensors
inside a computer and then send it back to understand whether the algorithm
developed works. Then they will try to do the same thing with memories spanning
over a lap of time. Understanding how the brain forms memories and being able to
interpret those memories digitally is key element to transhumanistic features.
A major brake to a better understanding of the brain is the difficulty arising from the
capture of electrical signals within the brain. Electrodes are inserted in patients or
animals brains to understand how the neurons interact with each other. However a
new way of observing neural networks inside rats brains has been designed, this
new technology represents a major breakthrough which puts the basis of an
extended less invasive live study of brains. Former implants using polymer flexible
probe would indeed most often lead to gliosis, which is a cell heap caused by a
immune reaction.
New, better syringe injected implants with ultra flexible open mesh electronics lead to
a minimal immune response, moreover the neural network do not get damaged and
neurons are well balanced along all the mesh. This offers better durability, a larger
3. and more accurate contact surface and an overall better tool to study neural
networks. Now with this technique, a mesh injected inside the brain enables to
observe neural networks with a higher resolution even at the deepest points into the
brain. This new technology offers new perspectives for less intrusive brain studies
and help to design long lasting and efficient BCI.
II/ What technologies seem attainable in future (Valentin and Julien)
1. Mini-antennae
(https://futurism.com/new-mini-antennae-could-pave-the-way-for-brain-comput
er-interfaces/)
A team of researchers from Northeastern University (Boston) has succeeded
in developing mini-antennae that are one hundred times smaller than current
antennae. This prototype gives ideas to scientists who want to develop
implants that can read neural activity and send it through the mobile network.
In other words, as the article says, this invention paves the way for brain
computer interfaces that need distance connection to work correctly. For
example, we can imagine that neurological disorders will be signaled on real
time by BCI machines through this technology.
2. Telepathy
Some researchers of the university of Washington experimented prototypes
that will enable us to communicate instantly through brain-to-brain telepathy
via the Internet
(http://www.kurzweilai.net/first-brain-to-brain-telepathy-communication-via-the-
internet). Their experiment took the form of a question-and-answer game. An
“inquirer” sent a question (like “Is it a cat?”) which calls for yes or no to a
“respondent”. The respondent, who saw the question on a screen, had to
choose to focus on one of the two lights there were in front of him. One light
ment “yes”, whereas the other one ment “no”. By focusing his eyes and his
mind on one light, the respondent, who wore an electroencephalogram
helmet, sent through the Internet a signal corresponding to his answer. This
signal then activated a magnetic coil placed behind the inquirer’s head. This
magnetic coil, by stimulating the inquirer’s cortex, made him see a light by
phosphene phenomenon. Phosphene phenomenon enables us to see light
even if this light doesn’t exist in reality. In other words, this phenomenon leads
our brain to build a mental representation of light signs. We can imagine that
telepathic communication is attainable in the immediate future, because it
came true in a
laboratory.(http://www.telegraph.co.uk/news/worldnews/northamerica/usa/110
77094/Brain-to-brain-telepathic-communication-achieved-for-first-time.html).
4. 3. Neuroreality
(https://futurism.com/neuroreality-the-new-reality-is-coming-and-its-a-brain-co
mputer-interface/)
Neuroreality is a concept that puts an end to virtual reality’s era. Indeed,
during virtual reality’s era, people could distinguish virtual world from reality.
Now, neuroreality aims to make us unable distinguish these two worlds. It will
be enabled by BCI technologies that will create virtual worlds for us, in which
we will be able to control elements through thought. There are two sorts of
neuroreality technologies: the invasive ones and the non-invasive ones. The
invasive neuroreality BCI technologies require transplant operations in brain,
what is not the case for the second ones.
This is for example EyeMynd’s project, run by physicist Dan Cook, who says:
“When you’re in the virtual world—whether you’re playing a game or
something else—you don’t want to have to keep thinking about what you’re
doing with your hands. It’s much better to have pure brainwave control. It will
be a much more satisfying experience and will allow for a much greater level
of immersion. You can forget about your live human body, and just focus on
what’s going on in front of you.” These virtual worlds are expected to simulate
how we experience our own dreams: “In a dream, you can run around without
moving your physical legs. That dreaming and imagining creates brain signals
that we can read.”, Dan Cook says. EyeMynd’s system is a non-invasive BCI
technology, because it doesn’t require transplants in brain. Only a headset
with an electroencephalogram is needed. (video
https://www.youtube.com/watch?time_continue=101&v=7bROnoryZ_k).
III/ Philosophically (Aurélien)
5. 1. The notion of transhumanism
Transhumanism is a concept gathering a wide range of technological
achievements, from the mere graft of a member which is technically
possible today, to a complete merge between men and robots, between
biology and electronics. Elon Musk says that because we use smartphones
and because electronics are getting more and more used in medicine, we
are already cyborgs and at some extent he is right. But can we state
that man is just a machine and that the only limit that separates men
from robots is computational power, the brain staying the more
elaborated kind of 'intelligence' that exists today ?
2. A language issue
We commonly say that a machine is able to 'think', to 'learn', and to
'remember'. But is it really true ? Or is it just an analogy ? From what
is known today about the way our brain work, what are the limits of this
analogy ? Point out the differences between the operations of a
processor (fetch, decode, execute) and those of a brain.
Is not the term AI itself an analogy ? The expression AI started to be
used in the US (probably in MIT during the 60s, TBC. As usual Wikipedia
is our friend). Those who first used the term AI at a time when computer
science was at its very beginning had certainly a philosophical
conception of the world in mind, that influenced the way how AI has
evolved and is used nowadays.
3. Essential differences between nature and technique.
See the attached notes of a philosophy lecture on Aristotle and St
Thomas Aquinas. This needs to be applied to our problematic : the way
our brain work compared to robots and computers. The key thing to
understand is that a robot is always moved because of the action of man,
never by itself!! And notice I say itself, not himself:)