A new smartphone face-screening tool could help paramedics to identify stroke in seconds — much sooner and more accurately than is possible with current technologies.

Engineers at the University of Maryland have created a model using machine learning and robotics to design aerogels for wearable green tech. This new method automates material design with 95 % accuracy, enhancing sustainable applications like energy storage and insulation.

Using artificial intelligence technology to identify patterns of DNA fragments associated with lung cancer, researchers from the Johns Hopkins Kimmel Cancer Center and other institutions have developed and validated a liquid biopsy that may help identify lung cancer earlier.

With an aim to make the UK a world leader in artificial intelligence, the country’s fastest and most powerful supercomputer is now officially online. The supercomputer is claimed to be the second greenest in the world.

Swedish researchers at Chalmers University of Technology and the University of Gothenburg have developed an AI method that improves the identification of toxic chemicals — based solely on knowledge of the molecular structure. The method can contribute to better control and understanding of the ever-growing number of chemicals used in society, and can also help reduce the amount of animal tests.

A team of researchers has developed an innovative open-source platform called DL4-Mic-Everywhere. This platform provides life scientists with easy access to advanced artificial intelligence for the analysis of microscopy images. It enables other researchers, regardless of their computational expertise, to easily train and use deep learning models on their own data.

Climate scientists have found that human activity has worsened specific weather events and made them more likely to occur. In a study, they have mentioned that weather forecasts can be used to show how human behavior is impacting extreme weather conditions.

Breast cancer is responsible for claiming many lives across the globe. Now, with the help of different technologies such as supercomputers, data, and mathematical modeling researchers will be able to understand the deadly disease and also improve their treatment options.

Researchers have developed a new tool that makes use of artificial intelligence to predict suicidal thoughts and behaviors in a person using a quick and simple combination of variables.

Researchers from Harvard and Google have co-created the most detailed 3D reconstruction of human brain tissue to date. This tiny slice of the temporal cortex, merely the size of half a rice grain, reveals an astonishingly detailed map .