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.
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.
Blue brain enables humans to give new dimensions to science and technology and make enormous development in making the best possible enlightenment to the present scenario.the details can be seen by going though the power point presentation
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.
Blue brain enables humans to give new dimensions to science and technology and make enormous development in making the best possible enlightenment to the present scenario.the details can be seen by going though the power point presentation
This presentation is about the Blue Brain project of IBM. Blue brain is a simple chip that can be installed into the human brain for which the short term memory and volatile memory at the old age can be avoided. Virtual brain is an artificial brain, which does not actually the natural brain, but can act as the brain. Intelligence ,Knowledge and skill of a person can be made eternal. The complete information about the blue brain project is present in the presentation.
Blue Brain Technology is an attempt to reverse engineer the human brain and create simulations inside a computer. This way, we can access someone's brain even when they are not around.
Blue brain enables humans to give new dimensions to science and technology and make enormous development in making the best possible enlightenment to the present scenario.the details can be seen by going though the power point presentation
The Blue Brain Project is an attempt to reverse engineer the human brain and recreate it at the cellular level inside a computer simulation. The project was founded in May 2005 by Henry Markram at the EPFL in Lausanne, Switzerland. Goals of the project are to gain a complete understanding of the brain and to enable better and faster development of brain disease treatments.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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/
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
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
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.
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.
2. Outline
• Introduction
• Why Blue Brain?
• Objectives of Blue Brain Project
• Functioning of human brain
• Functioning of Blue Brain
• Methodology
• Research work
• Merits and demerits
• Conclusion
• References
3. Introduction
• Blue Brain would be world’s first virtual b
rain
• IBM is developing “BLUE BRAIN”, an
artificial brain that can think, respond,
take decision, and keep anything in
memory.
4. Why blue brain
• Human society is developed because of our intelligen
ce.
• After the death of a person, virtual brain will act as a
person so we will not lose the knowledge, intelligenc
e, personalities, feelings and memories of that man t
hat can be used for the development of the human s
ociety
• super brains like that of Steve Jobs, or Stephen Hawk
ings could be interfaced with computer to develop su
per computers.
5. Objectives of Blue Brain Project
• The goal is to reverse engineer the brain into a comp
uter, in order to understand the brain function and
dysfunction through simulation.
• To build a complete framework that can orchestrate t
he reconstruction of human brain from genetic to wh
ole brain level.
• Blue Brain could also help to cure the Parkinson's dis
ease.
7. • Sensory Input :-
Receiving input such as sound ,image, etc
through sensory cell .
• Interpretation.
Interpretation of the received input by the
brain by defining states of neurons in the b
rain.
• Motor Output.
Receiving of electric responses from the br
ain to perform any action .
8. Functioning of Blue brain
• The uploading of human brain is possible by the use of small r
obots known as the nanobots.
• These robots are small enough to travel through out our circul
atory system.
• Traveling into the spine and brain, they will be able to monitor
the activity and structure of our central nervous system.
• They will be able to provide an interface with computer that is
as close as our mind can be while we still reside in our biologic
al form .
9. Methodology
• The three main steps to building the virtual brain:
• 1) data acquisition,
• 2) simulation,
• 3) visualisation of results.
10. • Data acquisition involves taking brain slices, placing them u
nder a microscope, and measuring the shape and electrical
activity of individual neurons. This is how the different ty
pes of neuron are studied and catalogued.
• The simulation step involves synthesizing virtual cells using th
e algorithms to describe real neurons. The algorithms and par
ameters are adjusted for the age, species, and disease stage o
f the animal being simulated.
• The BBP SDK (Blue Brain Project-Software Development Kit
) is the set of software classes which are used for inspect
ing models and simulations. The Blue Brain simulation uses
one microprocessor per 10,000 neurons in the cortical col
umn of a cerebral cortex .
11. •RTNeuron is the primary application used by the BBP
for visualization of neural simulations. The software
was developed internally by the BBP team.
•It is written in C++ and OpenGL.
•RTNeuron takes the output from Hodgkin-Huxley
simulations in NEURON and renders them in 3D.
[4]
13. • A Super computer.
• Memory with a very large storing capacity.
• Processor with a very high processing power.
• A very wide network.
• A program to convert the electric impulses fr
om the brain to input signal, which is to be received by the com
puter and vice versa.
• very powerful Nanobots to act as the interface between the nat
ural brain and the computer.
14. progress
By 2005 the first single cellular model was completed.
By 2007, the first phase of project was completed,
delievered a data-driven process for creating,
validating, and researching the neocortical column.
first artificial cellular neocortical column of 10,000 cells
was built by 2008.
By 2011 Simulation of multiple columns, cellular
mesocircuit of 100 columns was built. And By 2014 The
BBP completes validated digital reconstructions of
neural micro circuitry in the brain of young rats.
Finally a cellular human brain is predicted possible by
2023 equivalent to 1000 rat brains with a total of a
hundred billion cells
15. • Merits
– Remembering things without any effort.
– Making decision without the presence of a person.
– Using intelligence of a person after the death .
– Understanding the activities of animals .
– Allowing the deaf to hear via direct nerve stimulation.
• Demerits
– We become dependent upon the computer .
– Others may use technical knowledge against us.
– A very costly procedure of regaining the memory back.
– If in future surrogates to humans are developed then, there will be no
human interaction and the world will run on computers only.
16. conclusion
• we will be able to transfer our brain content into computers.
• The intelligence, skills, memory and knowledge of a person
can be preserved and can be used in future and it offers a
better understanding of human consciousness
• It will bring both benefits and harm to human society.
• It’s a process towards building the thinking machines.
17. References
1. Swapnil S. Bachate, Prof. Vamshi Krishna,” A Survey Paper on Blue Brain T
echnology”, International Journal of Advance Research in Computer Scien
ce and Management Studies Volume 3, Issue 7, July 2015
2. Henry Markram, "The Blue Brain Project", Nature Reviews Neuroscience,
7:153-160, 2006 February. PMID 16429124.
3. Ramanjyot kaur, tajinder kaur, “Blue Brain: An Approach towards creation
of virtual brain”,International Journal of Emerging Technologies in Compu
tational and Applied Science, 10(4), September-November, 2014
4. http://www.artificialbrains.com/blue-brain-projects
5. The Blue Brain project http://bluebrainproject.epfl.ch.
6. https://www.livescience.com/29365-human-brain.html