Modern Applications of Artificial Intelligence

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One of many applications of AI

With technology advancing faster than action potentials within axons, neuroscientists and investigators in related fields are beginning to understand the brain better than ever before. As the scientific sphere becomes more innovative and more intelligent, one begins to wonder just how complex the brain actually is. The modeling and creation of artificial intelligence is becoming an increasingly heated topic in neuroscience, and its importance cannot be understated. As an example, modeling allows scientists to further understand the hows (pathways) and whats (structures) of the mammalian brain, to give rise to new hypotheses on brain functions, to pinpoint functional processes to a cellular level, and finally, to determine the feasibility of a biologically validated artificial mammalian brain. Currently, the degree of complexity needed in terms of memory, computation, and communication is being proposed, giving scientists an idea of just how many computers are needed to match something as elaborate as the brain[1]. Taking the idea further, the Blue Brain Project attempts to reverse engineer the mammalian neocortex, hoping to eventually complete an accurate model of the human brain. More amazingly, University of Waterloo brings forward an unprecedented model so clever that it can complete basic IQ tests, mirror human working memory, and even demonstrate learning.

1.1 Proposition of Artificial Neural Systems

1.1a Reasons for Modelling the Brain

1.1b Degree of Complexity Required

2.1 Putting Artificial Networks Together: Blue Brain Project

2.1a Current Achievements

2.1b Initial Goal

2.1c Future Goals

3.1 SPAUN (Somatic Pointer Architecture Unified Network)

3.1a Structure and Mechanism

3.1b Task Performances

3.1c Connection to Behaviour

3.1d Advantages Over Other Projects

1. first full source reference
2. second full source reference

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