This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...
Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...
Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by poor interpretability, weak generalization, and insufficient physical ...
Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...
8don MSN
Kolmogorov-Arnold networks bridge AI and scientific discovery by increasing interpretability
AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...
This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
Digital Twin of the Ocean is a continuously updated virtual counterpart of the real ocean that exchanges data in real time ...
Organoid Intelligence (OI) represents a groundbreaking convergence of biology and technology, aiming to redefine biocomputing using brain organoids—three-dimensional neural structures derived from ...
Artificial intelligence is everywhere. In fact, each reader of this article could have multiple AI apps operating on the very ...
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