Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
Eagle-Tribune

New Study Finds Use of Psychiatric Collaborative Care Model Has Expanded Rapidly for Children ...

WASHINGTON, Feb. 04, 2026 (GLOBE NEWSWIRE) -- A new study found that use of the Psychiatric Collaborative Care Model (CoCM) is increasing rapidly at a national level, but enormous disparities in use ...
IEEE

Automated Models for Predicting Software Defects in Hybrid Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) Parallel Programs Using Deep Learning

Abstract: Hybrid Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) parallel programs are pivotal for scalability and efficiency in high-performance computing (HPC), especially as ...
InfoWorld

Alibaba’s Qwen3-Max-Thinking expands enterprise AI model choices

The company claims the model demonstrates performance comparable to GPT-5.2-Thinking, Claude-Opus-4.5, and Gemini 3 Pro. Alibaba Cloud’s latest AI model, Qwen3-Max-Thinking, is staking a claim as one ...
IEEE

Proactive Urban Expressway Guidance: A Hybrid Approach Using Reinforcement Learning and Traffic Prediction Models

Abstract: Addressing traffic congestion is significant in enhancing urban mobility. Traditional navigation systems use real-time traffic status to push the temporally shortest path to drivers, forming ...