Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Investigators assessed whether machine learning models provide accurate, individualized risk predictions for major 30-day postoperative complications following glossectomy.

A new study reveals that dual-atom catalysts behave in a fundamentally different way than scientists previously thought, challenging a long-standing model used to predict catalytic performance.

Alex Chen's adaptive execution framework, using reinforcement learning, cuts trading costs and improves market visibility.

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

An update to the markets of Raul Jimenez has led experts to update predictions and odds for the Mexico-Ecuador match on ...

Snowflake (NYSE: SNOW | SNOW Price Prediction) and MongoDB (NASDAQ: MDB) both delivered Q1 FY2027 results in late May that ...

The Trump administration wants a useful quantum computer in two years. Microsoft wants one in three. Independent researchers ...

Dognosis, a startup in Bengaluru, is using AI, motion sensor and dog treats to create a multi-cancer detection test.

A new study out of Arizona State University makes a provocative claim: that humanity might have the technologies needed to steer hurricanes away from populated areas. If we could ...

Protein Industries Canada has funded a project to create an AI platform that can make fermentation more efficient and "unlock ...

However, what AI vendors usually won’t tell you is that these solutions are only effective if you have a clean, solid data ...