Machine learning & AI
Researchers from the MRC Brain Network Dynamics Unit and Oxford University's Department of Computer Science have set out a new principle to explain how the brain adjusts connections between neurons during learning. This new ...
Jan 3, 2024
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257
Computer Sciences
Artists who bring to life heroes and villains in animated movies and video games could have more control over their animations, thanks to a new technique introduced by MIT researchers.
Dec 20, 2023
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33
Hi Tech & Innovation
Clusters of lab-raised brain cells connected to a computer are capable of elementary speech recognition and math problems.
Computer Sciences
Face recognition technology emulates human performance and can even exceed it. And it is becoming increasingly more common for it to be used with cameras for real-time recognition, such as to unlock a smartphone or laptop, ...
Nov 13, 2023
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53
Machine learning & AI
For a while, limitations in technology meant that animators and researchers were only capable of creating human-like faces which seemed a little "off."
Nov 8, 2023
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33
Machine learning & AI
Recent developments in neuroscience and brain-inspired artificial intelligence have opened up new possibilities in understanding intelligence. Now, a research team led by Tianzi Jiang at the Institute of Automation of the ...
Oct 11, 2023
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17
Hi Tech & Innovation
A research team led by Professor Sanghyun Park from the Department of Robotics and Mechanical Engineering at DGIST announced that they have developed a few-shot learning model capable of accurately classifying brain waves ...
Sep 20, 2023
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9
Hi Tech & Innovation
Artificial intelligence not only affords impressive performance, but also creates significant demand for energy. The more demanding the tasks for which it is trained, the more energy it consumes.
Sep 8, 2023
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968
Machine learning & AI
Catastrophic forgetting, an innate issue with backpropagation learning algorithms, is a challenging problem in artificial and spiking neural network (ANN and SNN) research.
Sep 1, 2023
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107
Electronics & Semiconductors
Deep neural networks are generating much of the exciting progress stemming from generative AI. But their architecture relies on a configuration that is a virtual speedbump, ensuring the maximal efficiency can not be obtained.
