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 ...
13hon MSN
Brain-inspired AI: Human brain separates goals and uncertainty to enable adaptive decision-making
Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and ...
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 ...
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
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