A white Nissan sedan bristling with sensors rolled through central Tokyo’s stop-and-go traffic earlier this spring, halting ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Before big tech engineers can improve the fairness of recommendation systems, such as social media feeds and online shopping ...

Using CRISPR, multiomics, and machine learning, molecular biologist Larschan unravels the mysteries of the X chromosome.

Explore the 10 best generative AI courses to take in 2026, with options for hands-on training, certifications, and practical ...

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...

Pushing against years of scepticism, an analysis suggests quantum computers may offer real advantages for running machine ...

Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...

The latest boom in robotics represents a revolution in the way machines have learned to interact with the world.

Machine learning tech is critical to industries like automotive and IT, with companies like Nvidia leading in AI applications. Investing in machine learning stocks offers growth potential and ...

Worcester Polytechnic Institute (WPI) researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict Alzheimer's disease with nearly 93% accuracy.