Modern biology is awash in data. Scientists can sequence DNA, track gene activity cell-by-cell, map proteins in space, and image tissues at microscopic resolution. However, it is a struggle to put all ...

Although a lot of headlines in the automotive domain have been around LLMs (large language models), a significant part of automotive design relies on traditional machine learning (ML) workflows in ...

Sometime in early 2026, a routine vulnerability scan turned into something far worse for machine learning teams that depend ...

Google has introduced BigQuery AI, integrating machine learning, generative AI, vector search, and intelligent agents directly into its BigQuery platform. The release aims to streamline the AI ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

At AACR 2026, researchers discussed the promise and challenges of bringing AI-powered tools into cancer research and clinical ...

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 ...

Artificial intelligence (AI) is emerging as a powerful tool to predict food consumption patterns and guide policy decisions, ...

Researchers have developed a new methodology that uses artificial intelligence tools to identify and count target viruses ...

Recognition highlights Teradata's enterprise AI capabilities, including Enterprise AgentStack, open-source MCP Server, and in ...

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 ...

Researchers have developed a new methodology that uses artificial intelligence (AI) tools to identify and count target viruses more efficiently than previous techniques. The new approach can be used ...