WIRED analyzed more than 5,000 papers from NeurIPS using OpenAI’s Codex to understand the areas where the US and China actually work together on AI research.
SM-GNN prunes multi-view GNNs to pure propagation, cutting training time while outperforming prior MKGC accuracies on two ...
WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
Crew members examine a propeller of a U.S. Coast Guard Legend-class National Security Cutter, a design that is informing the U.S. Navy's future Frigate class. (PO1 Ayla Kelley/Navy) The U.S. Navy is ...
NEW YORK – Tuesday December 2, 2025 – Bloomberg today announced that Marshall Wace, a leading global liquid alternatives manager with $70BN+ in assets, has adopted Bloomberg’s Multi-Asset Class ...
A new technical paper titled “MultiVic: A Time-Predictable RISC-V Multi-Core Processor Optimized for Neural Network Inference” was published by researchers at FZI Research Center for Information ...
Bishop Chatard ascended back to the No. 1 spot at the top of Class 4A in the USA TODAY Network Indiana high school football poll released on Monday. Heritage Hills, previously ranked No. 1 in 4A, ...
Following nearly two years of litigation, Cigna Health and Life Insurance Company and the named plaintiffs in Hecht v. Cigna Health and Life Insurance Co., Case No. 1:24-cv-05926 (N.D. Ill.) have ...
Introduction: In the field of brain-computer interfaces (BCI), motor imagery (MI) classification is a critically important task, with the primary objective of decoding an individual's MI intentions ...
Abstract: Precise multi-class retinal disease recognition faces challenges from inter/intra-class variations and imbalanced distributions. While Convolution Neural Network (CNNs) effectively capture ...
Abstract: The complexity of underwater environments renders underwater acoustic signals vulnerable to various forms of noise during transmission, creating significant challenges for signal ...