Computer Sciences
The biological brain, especially the human brain, is a desirable computing system that consumes little energy and runs at high efficiency. To build a computing system just as good, many neuromorphic scientists focus on designing ...
Apr 8, 2024
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46
Hi Tech & Innovation
Explaining the behavior of trained neural networks remains a compelling puzzle, especially as these models grow in size and sophistication. Like other scientific challenges throughout history, reverse-engineering how artificial ...
Jan 3, 2024
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61
Machine learning & AI
In a perspective, Athanassios S. Fokas considers a timely question: whether artificial intelligence (AI) can reach and then surpass the level of human thought. The article is published in the journal PNAS Nexus.
Dec 20, 2023
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3
Machine learning & AI
Artificial intelligence developed to model written language can be utilized to predict events in people's lives. A research project from DTU, University of Copenhagen, ITU, and Northeastern University in the US shows that ...
Dec 18, 2023
1
191
Hi Tech & Innovation
Modern computer models—for example for complex, potent AI applications—push traditional digital computer processes to their limits. New types of computing architecture, which emulate the working principles of biological ...
Oct 23, 2023
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169
Computer Sciences
Computer models are an important tool for studying how the brain makes and stores memories and other types of complex information. But creating such models is a tricky business. Somehow, a symphony of signals—both biochemical ...
Mar 6, 2023
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21
Computer Sciences
As artificial intelligence and deep learning techniques become increasingly advanced, engineers will need to create hardware that can run their computations both reliably and efficiently. Neuromorphic computing hardware, ...
Machine learning & AI
A study led by researchers at the U.S. Department of Energy's Oak Ridge National Laboratory could help make materials design as customizable as point-and-click.
Apr 21, 2022
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41
Computer Sciences
Artificial intelligence systems may be able to complete tasks quickly, but that doesn't mean they always do so fairly. If the datasets used to train machine-learning models contain biased data, it is likely the system could ...
Feb 21, 2022
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211
Computer Sciences
Researchers at Heidelberg University and University of Bern have recently devised a technique to achieve fast and energy-efficient computing using spiking neuromorphic substrates. This strategy, introduced in a paper published ...
