For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...
The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
As our behavior is determined by our brains, understanding which neurological circuits are involved at the beginning of the ...
The capacity of super-large models to synthesize responses to sophisticated requests represents a watershed moment in ...
Google's Genie generates infinite interactive worlds from text. The secret? AI models compress reality's rules into transferable principles, enabling boundless creation.
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Neural circuits in flies provide insights into human eating
Why do we sometimes keep eating even when we're full and other times turn down food completely? Why do we crave salty things ...
The team at the European Space Agency developed a neural network called AnomalyMatch, which analyzes patterns in images and ...
One of the most striking outcomes of the surface-minimization framework is its ability to explain structural features that ...
AI-native air interfaces represent a shift from mathematical models to learned representations at the PHY layer.
Why do we sometimes keep eating even when we're full and other times turn down food completely? Why do we crave salty things ...
Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
Understanding how a tumor evolves against the attack of the immune system is one of the greatest challenges in modern ...
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