Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Agentic AI challenges the foundational tenets of our legal frameworks, which have historically relied on clear lines of ...
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 ...
Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...
Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...
A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...
Abstract: With the growing awareness of sustainability concerns in many application domains, energy-harvesting (EH) devices are increasingly being used with traditional non-energy-harvesting (non-EH) ...
LLM agents have become powerful enough to handle complex tasks, ranging from web research and report generation to data analysis and multi-step software workflows. However, they struggle with ...
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