Lumo leverages advanced machine learning to reduce calibration time, and flag low-confidence response factor predictions.

Polymers such as polypropylene are fundamental materials in the modern world, found in everything from computers to cars. Because of their ubiquity, it's vital that materials scientists know exactly ...

Machine learning (ML) is a branch of artificial intelligence (AI) that trains systems to learn from data and improve over time, without being explicitly programmed for every scenario. The four main ...

Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...

Using infrared light and machine learning, researchers have developed a method to effectively screen human health and its deviations at a population level. Envision a scenario where a single drop of ...

Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While Sn's overall utility as a catalyst is well-known, its underlying ...

As patients with lung cancer live longer, the risk of long-term cardiac side effects of radiation therapy has been increasing, despite advances that reduce the radiation dose to the heart. New ...

Food spoilage remains difficult to detect before it becomes a health risk. Consumers often ...

According to the Virginia Department of Health (VDH), drug overdose deaths among Virginia residents decreased by 43% in 2024. Virginia recorded the nation’s second-largest decrease, but 1,396 ...

Editor's Note: Harvard Business School’s Institute for Business in Global Society (BiGS) and Digital, Data, and Design (D^3) Institute invited Catherine D'Ignazio, associate professor of urban science ...