The document discusses Neuralink, a company developing implantable brain-machine interfaces. Neuralink aims to build a brain-computer interface that allows wireless transmission of information between the brain and a computer. This would be achieved using a coin-sized implant containing over 1,000 electrodes interfaced with brain neurons via thin, flexible threads. The implant would be implanted via a precision robot, allowing treatment of various neurological disorders and conditions. Potential applications include controlling devices with thought, enhancing senses and cognition, and treating paralysis, epilepsy and mental illnesses. While promising advantages for disability treatment and scientific understanding, concerns around privacy, safety and long term effects remain.
Neuralink white-paper. Elon Musk & Neuralink
Abstract
Brain-machine interfaces (BMIs) hold promise for the restoration of sensory and motor function and
the treatment of neurological disorders, but clinical BMIs have not yet been widely adopted, in part
because modest channel counts have limited their potential. In this white paper, we describe Neuralink’s first steps toward a scalable high-bandwidth BMI system. We have built arrays of small and
flexible electrode “threads”, with as many as 3,072 electrodes per array distributed across 96 threads.
We have also built a neurosurgical robot capable of inserting six threads (192 electrodes) per minute.
Each thread can be individually inserted into the brain with micron precision for avoidance of surface vasculature and targeting specific brain regions. The electrode array is packaged into a small
implantable device that contains custom chips for low-power on-board amplification and digitization: the package for 3,072 channels occupies less than (23 × 18.5 × 2) mm3
. A single USB-C cable
provides full-bandwidth data streaming from the device, recording from all channels simultaneously.
This system has achieved a spiking yield of up to 85.5 % in chronically implanted electrodes. Neuralink’s approach to BMI has unprecedented packaging density and scalability in a clinically relevant
package.
Neuralink white-paper. Elon Musk & Neuralink
Abstract
Brain-machine interfaces (BMIs) hold promise for the restoration of sensory and motor function and
the treatment of neurological disorders, but clinical BMIs have not yet been widely adopted, in part
because modest channel counts have limited their potential. In this white paper, we describe Neuralink’s first steps toward a scalable high-bandwidth BMI system. We have built arrays of small and
flexible electrode “threads”, with as many as 3,072 electrodes per array distributed across 96 threads.
We have also built a neurosurgical robot capable of inserting six threads (192 electrodes) per minute.
Each thread can be individually inserted into the brain with micron precision for avoidance of surface vasculature and targeting specific brain regions. The electrode array is packaged into a small
implantable device that contains custom chips for low-power on-board amplification and digitization: the package for 3,072 channels occupies less than (23 × 18.5 × 2) mm3
. A single USB-C cable
provides full-bandwidth data streaming from the device, recording from all channels simultaneously.
This system has achieved a spiking yield of up to 85.5 % in chronically implanted electrodes. Neuralink’s approach to BMI has unprecedented packaging density and scalability in a clinically relevant
package.
Neuromorphic Computing indicates a broad area of research that aims at achieving means of physical information processing that are inspired by biological brains. As such, this kind of systems is envisaged as being the ideal approach for implementing artificial neural networks concepts. With the rapid pace of development in Deep Learning, the synergy between the development of neuromorphic hardware and neural network concepts is fundamental to obtain intelligent systems that can exploit the full potential of learning efficiently.
This talk aims at giving a broad overview of the possibilities of such synergy. First, we will quickly explore the fundamental differences between neuromorphic and traditional computing, and then we will focus on concepts, algorithms, and neural architectures that are prone to neuromorphic implementation.
Computer-brain interface is a mainstay of science fiction, and devices are available today to use our brainwaves as a computer input. But is it practical? How far away is it? Will "Big Brother" read our thoughts and hack our brains?
In this class, we will dive into the future of thought as input for wearable devices with real-world examples and code. Demonstrations will be shown using the Emotiv EPOC headset, a revolutionary high resolution, neuro-signal acquisition and processing wireless neuroheadset that uses a set of sensors to tune into electric signals produced by the brain to detect thoughts, feelings and expressions.
You will see the EEG neuroheadset and computer interface with examples of interfacing with desktop, mobile and wearable apps. We will dive into the roots of the technology, showing code and examples along with big pictures of the technology. You will walk away with an understanding of how this still evolving and largely unknown technology really works, how it can be used, as well as longer-term implications.
Neuromorphic Computing indicates a broad area of research that aims at achieving means of physical information processing that are inspired by biological brains. As such, this kind of systems is envisaged as being the ideal approach for implementing artificial neural networks concepts. With the rapid pace of development in Deep Learning, the synergy between the development of neuromorphic hardware and neural network concepts is fundamental to obtain intelligent systems that can exploit the full potential of learning efficiently.
This talk aims at giving a broad overview of the possibilities of such synergy. First, we will quickly explore the fundamental differences between neuromorphic and traditional computing, and then we will focus on concepts, algorithms, and neural architectures that are prone to neuromorphic implementation.
Computer-brain interface is a mainstay of science fiction, and devices are available today to use our brainwaves as a computer input. But is it practical? How far away is it? Will "Big Brother" read our thoughts and hack our brains?
In this class, we will dive into the future of thought as input for wearable devices with real-world examples and code. Demonstrations will be shown using the Emotiv EPOC headset, a revolutionary high resolution, neuro-signal acquisition and processing wireless neuroheadset that uses a set of sensors to tune into electric signals produced by the brain to detect thoughts, feelings and expressions.
You will see the EEG neuroheadset and computer interface with examples of interfacing with desktop, mobile and wearable apps. We will dive into the roots of the technology, showing code and examples along with big pictures of the technology. You will walk away with an understanding of how this still evolving and largely unknown technology really works, how it can be used, as well as longer-term implications.
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.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
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Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
3. NEURALINK
CONTENT:
INTRODUCTION OF NEURALINK.
PURPOSE OF NEURALINK.
UNDERSTANDING THE BRAIN.
NEURALINK CHIP.
PRECISION AUTOMATED
NEUROSURGERY.
APPLICATIONS.
ADVANTAGES AND DISADVANTAGES OF
NEURALINK.
CONCLUSION OF NEURALINK.
10/17/2023 3
4. INTRODUCTION OF NEURALINK
Neuralink Corporation is a
neurotechnology company that
develops implantable brain–
machine interfaces.
Co-founded by Elon Musk, Max
Hodak and Paul Merolla, the
company's headquarters is in San
Francisco
10/17/2023 4
5. PURPOSE OF NEURALINK:
Neuralink's goal is to build something called a "brain
computer interface" that allows people to transmit and
receive information between their brain and a computer
wirelessly.
Neuralink is dedicated to developing a device that,
once implanted in the human brain, would allow a
computer to translate a person’s thoughts into action.
10/17/2023 5
6. It was founded in 2016, Neuralink is developing a brain
implant that aims to link the human brain directly to
computers.
Musk claims this brain-computer interface (BCI) will
enable humans to carry out actions through thought
alone. And one of Musk's first goals: help paraplegics
regain their independence.
10/17/2023 6
7. UNDERSTANDING THE BRAIN:
There Are 86 Billion Neurons
in Your Brain
Neurons send and receive
information. Although neurons
come in many different types.
They generally have three parts:
a dendrite which receives a
signal,
a cell body called a soma which
computes the signal,
an axon which sends a signal
out.
10/17/2023 7
8. Neurons Are Connected
Through Synapses
Neurons Communicate
Through Electric Signals
We Can Record Electrical
Signals in the Brain
10/17/2023 8
9. INTERFACING WITH THE BRAIN:
The Link:
Neuralink designing the first
neural implant that will let you
control a computer or mobile
device anywhere you go.
Micron-scale threads are inserted
into areas of the brain that control
movement.
10/17/2023 9
14. The chip Neuralink is developing is about the
size of a coin, and would be embedded in a
patients' skull.
From the chip an array of tiny wires, each
roughly 20 times thinner than a human hair, fan
out into the patient's brain.
10/17/2023 14
15. The wires are equipped with 1,024 electrodes
which are able to both monitor brain activity
and, theoretically, electrically stimulate the
brain.
This data is all transmitted wirelessly via the
chip to computers where it can be studied by
researchers.
10/17/2023 15
17. PRECISION AUTOMATED NEUROSURGERY:
The threads on the Link are
so fine and flexible that they
can’t be inserted by the
human hand.
Instead, they designed a
robotic system that the
neurosurgeon can use to
reliably and efficiently insert
these threads exactly where
they need to be.
10/17/2023 17
18. Neuralink has developed a
precision robot to surgically
install the chip underneath
the skull and feed the wires
into the brain
The way the robot would
work is it would use a stiff
needle punch the flexible
wires emanating from a
Neuralink chip into a
person's brain, a bit like a
sewing machine
10/17/2023 18
19. The surgery to insert a Neuralink device as
taking less than an hour.
Musk has said that the entire procedure will be
done by a robotic surgeon, a Neuralink robot,
and he expects the surgery to cost around a few
$1,000 bucks.
The price of 1 Neuralink currently
costs $0.000031.
10/17/2023 19
20. Macaque monkeys have been used
in testing by Neuralink as the
company has been developing
Bluetooth-enabled implantable
chips, inserted into the monkey's
brains
Elon Musk's brain chip company
Neuralink has admitted that the
monkeys used as test subjects for
implants died due to the
experiments.
Neuralink still on track for first
human trials by end of 2022.
10/17/2023 20
21. APPLICATIONS:
Direct Link Between the Brain & Everyday
Technology
The Future of Neural Engineering.
Neuralink is currently focused on making
medical devices. These devices have the
potential to help people with a wide range of
injuries and neurological disorders.
Neuralink's long-term vision is to create BCIs
that are sufficiently safe and powerful that the
general population would want to have them.
10/17/2023 21
22. For Visual Prosthesis
Disease Prediction
Solve Mental Illnesses
The device has the potential to scale to more
channels, more regions. As it goes deeper, the
chances of solving issues related to anxiety, fear
and depression become high.
10/17/2023 22
23. ELON MUSK SAYS:
It could: create "symbiosis"
between the human mind and
computers; "shed some light
on consciousness;" allow
people to "save and replay
memories;" cure paralysis,
blindness, memory loss, and
other neurological diseases;
enable "superhuman vision,"
or give people the ability to
summon their Tesla
telepathically.
10/17/2023 23
24. ADVANTAGES OF NEURALINK:
Effect to the World Education
Effect to the World Medicine
Increased communication and collaboration between
humans and AI.
Improved quality of life for people with disabilities.
Increased ability to learn and remember information.
Enhanced creativity and problem solving ability.
Ability to control devices and prosthetic limbs with your
mind.
Increased understanding of the human brain.
10/17/2023 24
25. DISADVANTAGES OF NEURALINK:
Potential for abuse and misuse.
Invasion of privacy.
Unintended negative consequences of BCIs, such as
addiction, anxiety, or depression.
Difficulty in removing or repairing BCIs if they
malfunction.
Increased risk of brain injury or infection.
High cost of BCI technology.
Limited research on the long-term effects of BCIs.
The value of human feelings will fade off.
10/17/2023 25
26. CONCLUSION
Neuralink is undeniably the future technology, that can
heal multiple disorders.
We know for sure that by 2025, technology like
Neuralink will be widely available to everyone. There
will be an increased focus on brain-computer
interfaces, which will make our brains smarter and our
lives easier.
With an artificial intelligence system in place, society
could one day progress past the point of needing to
worry about wars, natural disasters, or biological
disasters.
10/17/2023 26