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

The course explores two themes: AI literacy and building resilience to misinformation. Students learn AI technologies such as ...

Explore the key challenges of AI ethics in 2025, including accountability, transparency, and regulations in the EU, US, ...

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

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 ...

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

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 ...

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

AI technology is everywhere, from phones to drive-through ordering systems. Given that companies like Google, Microsoft and ...

Initial courses will be available for first- and second-year students starting January and will open to junior- and ...

So, what is machine learning in the first place? And if the machines are so smart, why are they still so dumb? The point of ...