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

Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.

Industrial dyes used in textiles, plastics, paper, and cosmetics make wastewater vividly colored and potentially toxic. Many ...

Here is what the symbols in your washing machine drawer mean and why they are important amid a surge in young people lacking ...

Supervised machine learning uses labeled data to teach algorithms pattern recognition. It improves prediction accuracy in industries like finance and healthcare. Investors can gauge a company's ...

When training large language models on human speech, they have the entire history of human communication to pull from. For ...

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...