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GREETINGS TO STEMIANS
WELCOME TO MY POST!

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Assalamualikum, hope you're doing fine. Firstly ,I want to thanks @siz-official for supporting my content.

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This post is about a new emerging technology Artificial brain. It is a combinationed effort of different feilds thats designed according to biological realistic brain based in spiking neural networks, sounds intresting right? ,lets dig into this topic and find intresting facts and information.

What is Artificial brain technology?

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Artificial brains are man-made machines hardware and software with congnitive abilities like intelligence, creativity, and self-awareness similar to humans. Its basically a collection of interconnected neural network modules .It's not built yet, but it is in process. Its based on principles neuroscience, computing, and nanotechnology and is designed according to human brains.
By reconstructing the human brain we will not only understand it but will be able to deal with big data analysis , solve unpredictable queries to empower our understanding of the universe. It can think like human beings and can work that humans are not capable to do. Apart from collecting and analyzing information it can find solutions of the thought function moreover it can self learn, self analayze and self correct the tiny and big amount of data without human intervention and can mimic the human brain abilities.

How does it work?

It'll work on the principles of neuroscience, computer science and biology. It consistof tools that can stimulate complex neural networks ,robots & their environment or may be holographic neural technologies. It is a deep learning process with random changes in artificial neural networks to ensure its capabilities to be applied in various feilds and to communicate between brain and body models.

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It'll perform biological-realistic human brain simulations quickly by evolving in the currently available special electronic programmable hardware or supercomputer. It is built on the idea of changing prespectives of computing and data processing for digital computation in cognitive science and neuroscience by reversing analog with physical systems where inputs operates and outputs can be interpreted in a physical and easy way.

Main components of Artificial Brain:

This section consist of those human made methodologies, systems, hardwares and softwares that will be implemented in artificial brain.

IoT

Internet of things is an essential component of artificial brains as it discover new information and categorize data as well as focus on exploring natural phenomena and helps in understanding the real world and virtual world.

BoT

By the effective use of IoT artificial brains becomes brain of things which quickly collects information of human brains through brainwaves and detect human thoughts and feelings according to human behaviour.

MultiProcessor System on Chip(SoC).

You must have heard this term before "system on a chip" it refers to the system that interacts with the set of communication networks which includes RISC.

Open multi-processing(OpenMP)

It supports multi platform for multi processing programming. It provide access to the globally shared memory.

Cognitive Chip, CC

Its a multiprocessor chip that functions like a human brain capable of performing 46 billion synaptic operations per second.

IBM’s Supercomputer

IBM have created supercomputers of compact size. It consists of hardware that interact by local instructions and data busses

Machine Learning

Its the most necessary component of any computer or electronic device which provides ability to run and access computer easily and to mimic the neurons interrelate in the human brain to transfer information.

Support Vector Machine

It is used to solve pattern recognition problems and can minimize risks with low computational costs.

Resilient back propagation (RBP)

It can eliminate the effects of the magnitude of partial derivatives. Simply, it minimise the error of vectors for all neural networks.

Software-Hardware Integration

Its also a part of IoT . It is used to gain a comprehensive understanding of system development from both hardware and software perspectives.

Brain Simulator

The goal is to simulate a brain circuit . In order to design neural networks as same as neuron simulator but with high-perfomance computing systems.

World Simulator

It based on physics simulations for realistic experiments and aims to deliver simulation for robot as well as environment in which robot interacts.

ARTIFICIAL BRAIN PROJECTS:

As the Artificial brain research and projects are rapidly heading forward . These are some artificial brain projects that are on its way of completion.

Human brain project

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It aims to disclose the brain mysteries in order to allow scientists and researches to advance their knowledge of neuroscience, computing and other brain inspired technology.

Blue brain project

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Its the first virtual brain that can preserve and use knowledge for thousands of years. It's a reconstruction of a mouse brain which offers the detailed biological understanding of multi level structure and functions of human brain

China brain project

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China brain project aim is so different and valuable than other projects ,as it aims to early diagnose and treatment of the disease. It also relate to phsychatric disorders . Its designed on brain based architecture and algorithms.

Google brain

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As google is a top most popular user of artificial intelligence, it has adopted this new trend with their own agendas , that combines machine learning with information system and large scale computing resources which aims increase research opportunities machine learning.

BRAIN initiative

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Thus project aims to revolutionize our understanding of human brain by developing innovative technologies and produce dynamic pictures that can help to understand complex neural circuit of brain as well as speed of thoughts.

Usecases:

Artificial brain will provide powerful networks , better algorithms and improved hardware that makes it capable of mimicking human brain. It can be used to solve medical, technical ,scientific and many other problems . It can overcome computational challenges and its advanced algorithm can result a new version of language translation, facial recognition, drug discoveries ,diagnoses of several deasises pretty soon ,even speech recognition, driving and flying will be on this list too which can make our world independent. It can help in every sector like machine learning, construction, security, health , transport, manufacturing, farming , administration and much more can not only assist it but can run the whole industry .

Market growth :

Even though it is facing many challenges and obstacles but its happening in coming 10 years and it'll be the most productive and most used technologies in the history . it's expected to cross 90 trillion dollars by 2030 and may increase with the increase in demand

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That's all...
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