New AI memory method lets models think harder while avoiding costly high-bandwidth memory, which is the major driver for DRAM ...

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...

Abstract: This paper introduces SparseTSF, a novel and extremely lightweight method for Long-term Time Series Forecasting (LTSF), designed to address the challenges of modeling complex temporal ...

Baidu's ERNIE-5.0-0110 ranks #8 globally on LMArena, becoming the only Chinese model in the top 10 while outperforming ...

DeepSeek founder Liang Wenfeng has published a new paper with a research team from Peking University, outlining key technical ...

Schematic of the proposed methodology for surrogate modeling of chemical kinetics using Time-Lag Autoencoders' dimensionality reduction, and Gradient-Based Clustering. This methodology provides ...

What does it take to outshine giants in the fiercely competitive world of artificial intelligence? For years, proprietary systems like GPT-5 and Gemini Pro have dominated the landscape, setting ...

OpenAI researchers are experimenting with a new approach to designing neural networks, with the aim of making AI models easier to understand, debug, and govern. Sparse models can provide enterprises ...

Department of Cell and Developmental Biology, Vanderbilt University, Nashville, Tennessee 37232, United States Mass Spectrometry Research Center, Vanderbilt University, Nashville, Tennessee 37232, ...

Elon Musk’s electric car company said the new versions would start at around $37,000 and $40,000, prices that bring its cars closer to comparable gasoline vehicles. By Jack Ewing Tesla on Tuesday ...