Why Neuroscience Is the Key to Innovation in AI

A Booming Future

But the best is yet to come.

The advent of brain imaging tools and genetic bioengineering are offering an unprecedented look at how biological neural networks organize and combine to tackle problems.

As neuroscientists work to solve the “neural code”—the basic computations that support brain function—it offers an expanding toolbox for AI researchers to tinker with.

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One area where AIs can benefit from the brain is our knowledge of core concepts that relate to the physical world—spaces, numbers, objects, and so on. Like mental Legos, the concepts form the basic building blocks from which we can construct mental models that guide inferences and predictions about the world.

Neuroscience is a study of that is concerned with the structure and function of the nervous system. The study covers the evolution, development, physiology, cellular & molecular biology, anatomy & pharmacology of the nervous system, and also behavioral, computational and cognitive neuroscience. Tools such as MRI scans and computerized 3-D models are used to perform tests for some common conditions including Down syndrome, Parkinson’s disease, brain tumors, effects of stroke such as, language loss and many others.

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The neuroscience market is anticipated to grow with a significant rate in the coming years, owing to factors such as, rising government spending on healthcare infrastructure in developed regions, increasing geriatric population and rising technological advancements. However, the neuroscience-based initiatives by government bodies is anticipated to offer more growth opportunities for the players operating in the neuroscience market.