Traditional industrial automation solutions have exposed numerous limitations when faced with increasingly complex production demands. For instance, the flexibility of industrial robot programming is ...
A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a ...
A research team led by the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) has built and ...
An AI model just cracked the top 10 in a global prediction contest, signaling how machines are reshaping the future of ...
Abstract: Federated Learning (FL) is a privacy-preserving distributed machine learning paradigm that enables participants to collaboratively train a global model without sharing local private data.
Fully autonomous home-cage training system HABITS enables mice to learn complex cognitive behaviors without human intervention, expanding behavioral paradigms and optimizing training efficiency ...
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Why machines struggle with the unknown: Exploring the gap in human and AI learning
How do humans manage to adapt to completely new situations and why do machines so often struggle with this? This central question is explored by researchers from cognitive science and artificial ...
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