To prevent data imbalance, a common problem in environmental modeling where non-flooded areas vastly outnumber flooded points ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...

Marine oil spills are among the most severe environmental hazards, threatening aquatic ecosystems, coastal economies, and biodiversity. Traditional detection methods, based on manual observation, ship ...

Pairing cutting-edge chemistry with artificial intelligence, a multidisciplinary team of scientists today published fresh ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.

Pairing cutting-edge chemistry with artificial intelligence, a multidisciplinary team of scientists today published fresh chemical evidence of Earth's ...

The Cetacean Translation Initiative is using artificial intelligence to help understand sperm whale communications. Lawyers ...

AI-based analysis of OCT imaging may detect early signs of sickle cell maculopathy in pediatric patients, a study suggests.

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control.