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

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

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

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 ...

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 ...

Machine unlearning introduces a range of security challenges that extend beyond those faced by traditional ML systems. A ...

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

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

The intersection of machine intelligence and education has long promised to enhance learning, but Dr. Ranita Ganguly’s recent research injects fresh momentum into this vision. Her paper, “Expert ...

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

AI integration in engineering education offers personalized learning experiences, but requires careful planning, investment, ...