Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge ...
Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...
Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...
Tissue expansion, originally developed for super-resolution imaging, has become a foundation for expansion omics (ExO), a ...
Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...
In 2017, fresh off a PhD on theoretical chemistry, John Jumper heard rumors that Google DeepMind had moved on from building ...
Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...
A new technical paper titled “Modeling and Optimizing Performance Bottlenecks for Neuromorphic Accelerators” was published by ...
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A new route to optimize AI hardware: Homodyne gradient extraction
A team led by the BRAINS Center for Brain-Inspired Computing at the University of Twente has demonstrated a new way to make electronic materials adapt in a manner comparable to machine learning. Their ...
How animals may modify their behavior depending on their context has been modeled mathematically by two RIKEN neuroscientists. Their simple but biologically plausible model could shed light on mental ...
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