Most proteins in blood are measured outside their functional and cellular context. Machine learning was used to integrate ...

With the US falling behind on open source models, one startup has a bold idea for democratizing AI: let anyone run reinforcement learning.

Researchers at University of Tsukuba have developed DeMemSeg, an AI-powered analysis pipeline that addresses a long-standing ...

Explore Deepseek 3.2’s transformative features, from cost reductions to enhanced creative and technical performance.

In just a few years, large language models (LLMs) have expanded from millions to hundreds of billions of parameters, ...

Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction model ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

Introduction: Predicting the relationship between diseases and microbes can significantly enhance disease diagnosis and treatment, while providing crucial scientific support for public health, ...

Electric Vehicle (EV) cost prediction involves analyzing complex, high-dimensional data that often contains noise, multicollinearity, and irrelevant features. Traditional regression models struggle to ...