Trained on historical consumption data spanning a decade, the model demonstrated strong predictive performance. It achieved a training error of 0.182 and a forecasting accuracy of 95.2 percent, ...

A new review in Science China Life Sciences examines how machine learning and host-microbiome multi-omics can be combined to better understand health and disease. The article outlines the road from ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...

Cities have air-quality monitoring stations where pollutants such as NO₂, CO, and SO₂ are measured, while industrial systems ...

A Vercel employee's AI tool OAuth grant gave attackers access to internal systems via a four-hop kill chain. Here's what ...

How mature is your AI agent security? VentureBeat's survey of 108 enterprises maps the gap between monitoring and isolation — ...

You cannot go wrong with this stack.

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...