In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

The team utilized machine learning to analyze public data from the National Health and Nutrition Examination Survey.

Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility ...

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...

Interview Kickstart today announced the launch of its Advanced Machine Learning Program, a specialized interview preparation track designed for engineers and data professionals preparing for machine ...

As instigators of immunity, monoclonal antibodies are marvels of modern medicine, lab-made proteins that can treat cancers, autoimmune diseases, and many other conditions.

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...