Neuromorphic Computing

In recent times the term neuromorphic has been used to describe analog, digital, and mixed-mode analog/digital VLSI and software systems that implement models of neural systems (for perception, motor control, or multisensory integration).

Neuromorphic Computing, also known as neuromorphic engineering is a concept developed by Carver Mead, in the late 1980s, describing the use of very-large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures present in the nervous system.

Computational Intelligence- Scholarpedia

The expression computational intelligence (CI) usually refers to the ability of a computer to learn a specific task from data or experimental observation.

Even though it is commonly considered a synonym of soft computing, there is still no commonly accepted definition of computational intelligence. Generally, computational intelligence is a set of nature-inspired computational methodologies and approaches to address complex real-world problems to which mathematical or traditional modelling can be useless for a few reasons: the processes might be too complex for mathematical reasoning, it might contain some uncertainties during the process, or the process might simply be stochastic in nature.

Wikipedia: Computational Intelligence

Whole Brain Emulation- Mind Uploading

Whole brain emulation (WBE) or mind uploading (sometimes called “mind copying” or “mind transfer”) is a hypothetical process.

This hypothetical process involves the copying of mental content (including long-term memory and “self”) from a particular brain substrate and copying it to a computational device, such as a digital, analog, quantum-based or software based artificial neural network.

The computational device could then run a simulation model of the brain information processing, such that it responds in essentially the same way as the original brain (i.e., indistinguishable from the brain for all relevant purposes) and experiences having a conscious mind.

NeuCube- next-generation computer modelled on the human brain

Excerpt

“We have developed a novel computational framework that can create flexible and configurable application systems to run on this super-computer hardware – or on any other neuromorphic chips or systems.”

Principal Investigator and project lead for the NeuCube is Professor Nikola Kasabov, director of Auckland University of Technology’s Knowledge, Engineering and Discovery Research Institute (KENRI).

For the first time the NeuCube framework will be used to combine all types of spatiotemporal brain data (STBD) related to a given problem (e.g. EEG, fMRI, DTI, structural, genetic) in order to model and understand complex spatio-temporal relationships across the data sets. This is the main method on which the EU H2020 proposal submitted in 2014 is based, with the participation of 8 EU partners and KEDRI, KEDRI being the world leader on the topic. The results will be used in other INTELLECTE/2 projects.

Launch at Auckland University Conference

Neurons hold key to future

Kiwi scientists set to unveil next generation of computing power

The NeuCube neurocomputer Professor Kasabov originated draws upon the same information-processing principles in our brains, where information is represented in temporal sequences of electrical signals, or “spikes”.

“If we can use this neurocomputer to capture ...

Artificial Intelligence Overview

Artificial intelligence (AI) is the intelligence exhibited by machines or software. It is an academic field of study which studies the goal of creating intelligence, whether in emulating human-like intelligence or not.

Major AI researchers and textbooks define this field as “the study and design of intelligent agents”, where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success.

John McCarthy, who coined the term in 1955, defines it as “the science and engineering of making intelligent machines”

Based on Wikipedia entry April 26, 2016

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