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By using only the most valuable data, ‘active’ machine learning algorithms can help identify the next class of molecular therapeutics.

An AI learning model that incorporates human decision-making criteria has been used to improve the accuracy of skin cancer diagnoses by twelve percent.

Researchers from MIT and Stanford University have devised a new machine-learning approach that could be used to control a robot, such as a drone or autonomous vehicle, more effectively and efficiently in dynamic environments where conditions can change rapidly.

An international research study provides a better insight into the evolutionary history of gorillas.

Researchers have developed a new algorithm to investigate systems with long-range interactions that were previously puzzling to experts.

A new report suggests that lab-on-a-chip technologies could improve the blood transfusion workflow, ensuring patients in need receive high-quality red blood cells.

According to a study, phasing out emissions of ammonia and nitrogen oxides is a cost-effective measure to reduce concentrations of fine particulate matter concentrations in the atmosphere.

AI-enabled portable sensor can be used to manage hazardous waste, monitor air quality, identify spoiled food, and diagnose diseases.

Researchers have developed a new robotic materials acceleration platform (MAP), that can rapidly synthesize and print new semiconductor materials. The platform has already been used to identify a new alloy that has the potential to outperform classic silicon solar cells.

A study has found genetic evidence that the diabetes drug metformin may help to promote healthy aging, according to data from 300,000 people from the UK Biobank.