Researchers at the University of Toronto's Faculty of Applied Science & Engineering have used machine learning to design nano ...

In the quest for more secure and seamless authentication, behavioral biometrics are rapidly emerging as the next frontier in ...

Scale AI, which labels training data for machine-learning models, was sued this month, alongside labor platform Outlier, for ...

Malicious URLs are among the most common vectors for cyberattacks, enabling phishing, malware distribution, and data theft.

This valuable study tests a methodology for the discovery of new honey bee-repellent odorants via machine learning. The conclusions of the study are supported by solid evidence, with predicted ...

Video. China's Pudong District opens a humanoid robot training base, training 100 robots now with a goal of 1,000 by 2027, ...

Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a healthy person's cells differ from those of someone with a disease? To draw ...

I have just finished reading this excellent book by Kate Crawford titled Atlas of AI: Power, Politics, and The Planetary ...

A technique called “test-time compute” can improve how AI responds to some hard questions, but it comes at a cost ...

For organizations considering the adoption of scalable AI for demand forecasting, it’s essential to approach implementation ...