Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Overview: Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...
Overview Rapid innovation is reshaping the IT landscape - compelling professionals to learn high‑demand skills in cloud ...
Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...
Morning Overview on MSN
How DeepSeek’s new training method could disrupt advanced AI again
DeepSeek’s latest training research arrives at a moment when the cost of building frontier models is starting to choke off ...
Meet NVIDIA Nitrogen, a generalist gaming agent trained on 40,000 hours of video, so you can understand how imitation learning scales.
Reinforcement Learning, Explainable AI, Computational Psychiatry, Antidepressant Dose Optimization, Major Depressive Disorder, Treatment Personalization, Clinical Decision Support Share and Cite: de ...
Imagine a dog leaping excitedly at arriving guests, only to receive a sharp yell or leash tug—traditional responses that ...
AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...
A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
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