Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...
Autonomous, LLM-native SOC unifying IDS, SIEM, and SOC to eliminate Tier 1 and Tier 2 operations in OT and critical ...
WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...
BMW has long been synonymous with the ultimate driving machine. But as we hurtle toward an increasingly connected future, the ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
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: Federated learning (FL) is becoming increasingly popular due to concerns about data privacy. In FL, multiple clients and a server jointly train a model. Clients update their models locally ...
EaStCHEM School of Chemistry, The University of Edinburgh, King’s Buildings, Mayfield Road, Edinburgh EH9 3FJ, U.K. Center for Inflammation Research, Institute of Regeneration and Repair, The ...
Operational data such as torque, vibration, and temperature are vital for refining machine design and predicting failure modes. Feedback from real-world machines reduces over-engineering, cuts costs, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback