Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Abstract: In the backdrop of an increasingly pressing need for effective urban and highway transportation systems, this work explores the synergy between model-based and learning-based strategies to ...
An easy way to do this is to go to Settings & privacy > Content preferences, and then open the “Unfollow people and groups” ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
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 ...
Learn how recommendation algorithms, streaming recommendations, and social media algorithms use content recommendation ...
Abstract: This letter develops a novel optimization-based inverse reinforcement learning (RL) control algorithm that infers the minimal cost from observed demonstrations via optimization-based policy ...
AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...
HeteroRL is a novel heterogeneous reinforcement learning framework designed for stable and scalable training of large language models (LLMs) in geographically distributed, resource-heterogeneous ...
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