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Computer's learning ability improved by tweaking AI software to function like a human brain: Study

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ANI |
Updated: Jan 12, 2021 12:44 IST
Washington [US], January 12 (ANI): Computer-based artificial intelligence can function more like human intelligence when programmed to use a much faster technique for learning new objects, say two neuroscientists who designed such a model that was designed to mirror human visual learning.
In the journal Frontiers in Computational Neuroscience, Maximilian Riesenhuber, PhD, professor of neuroscience, at Georgetown University Medical Center, and Joshua Rule, PhD, a postdoctoral scholar at UC Berkeley, explain how the new approach vastly improves the ability of AI software to quickly learn new visual concepts.
Our model provides a biologically plausible way for artificial neural networks to learn new visual concepts from a small number of examples, says Riesenhuber. We can get computers to learn much better from few examples by leveraging prior learning in a way that ....

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Tweaking AI software to function like a human brain improves computer's learning ability

Computer-based artificial intelligence can function more like human intelligence when programmed to use a much faster technique for learning new objects, say two neuroscientists who designed such a model that was designed to mirror human visual learning. ....

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Software promises to improve AI object recognition.

Computer-based artificial intelligence can function like human intelligence when programmed to use a faster technique for object recognition. ....

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How to improve computer's learning ability

How to improve computer s learning ability
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IANS
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Published on
Tue, Jan 12 2021 14:21 IST
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Artificial Intelligence.. Image Source: IANS News
New York, Jan 12 : Computer-based Artificial Intelligence (AI) can function more like human intelligence when programmed to use a much faster technique for learning new objects, researchers say.
In the journal Frontiers in Computational Neuroscience, the researchers explained how the new approach vastly improves the ability of AI software to quickly learn new visual concepts.
Our model provides a biologically plausible way for artificial neural networks to learn new visual concepts from a small number of examples, said the researcher, Maximilian Riesenhuber, Professor of neuroscience at Georgetown University in the US. ....

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1907 Research announces the three recipients of the inaugural 1907 Trailblazer Award

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The mental health research funder 1907 Research, Inc. announced the recipients of its first annual 1907 Trailblazer Awards today. The two-year grants, valued at over $120,000 each, were awarded to three promising scientists to pursue groundbreaking mental health research proposals:
Dr. Benjamin Bartelle from Arizona State University, for his proposal Accessing neuroimmunity with a domesticated Zika virus. Dr. Bartelle s fellowship is generously sponsored by the Kissick Family Foundation.
Dr. Laura Lewis from Boston University, for her proposal Linking sleep, cerebrospinal fluid flow, and inflammation, in depression.
Dr. Katherine Scangos from the University of California, San Francisco, for her proposal Using direct cortical and subcortical neural recordings to uncover principles of network dynamics underlying depression symptom severity in major depression. ....

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