Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
The Chinese AI lab may have just found a way to train advanced LLMs in a manner that's practical and scalable, even for more cash-strapped developers.
Virtual Reality, Ideological and Political Education in Colleges and Universities, Red Culture, Teaching Optimization Zhang, Q. and Yu, Y. (2026) Research on the Optimization Strategy of Integrating ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Abstract: The electric vehicle routing problem (EVRP) is a complex logistical challenge that requires optimizing both route planning and charging decisions. Although ant colony optimization (ACO) has ...
China’s latest generation of open large language models has moved from catching up to actively challenging Western leaders on ...
In this video, we will understand all major Optimization in Deep Learning. We will see what is Optimization in Deep Learning ...
As AI automates the work that once trained junior lawyers, firms must rethink how capability is built. New simulation-led and AI-enabled training models may offer a better path forward. For decades, ...
Abstract: The deep reinforcement learning (DRL) based Volt-VAR optimization (VVO) methods have been widely studied for active distribution networks (ADNs). Most approaches neglect power injection ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...