A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...
Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
News Medical on MSN
Biology-based brain model matches animals in learning, enables new discovery
A new ‘biomimetic’ model of brain circuits and function at multiple scales produced naturalistic dynamics and learning, and ...
A new technical paper titled “Deep-learning atomistic semi-empirical pseudopotential model for nanomaterials” was published ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Tech Xplore on MSN
AI models stumble on basic multiplication without special training methods, study finds
These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
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