Net, a hybrid model that improves energy consumption prediction in low-energy buildings, enhancing accuracy and ...

A new fabric-based touch sensor used machine learning to control mobile apps, video games and other devices while integrated into clothing. A new study from NC State University combines ...

A new evaluation platform streamlines inertial sensor design with AI-driven analytics, real-time visualisation, and automated ...

Businesses can harness sensor and machine data with the generative AI speed layer. In partnership withKinetica Consider a supply chain where delivery vehicles, shipping containers, and individual ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. We live in a world where machines can understand speech, recognize faces, and even generate ...

Researchers at Empa have developed machine learning algorithms that reduce preliminary testing in laser-based metal additive manufacturing by about two-thirds without compromising quality. Using ...

The Fraunhofer Institute for Surface Engineering and Thin Films IST makes exactly these hidden conditions visible: with integrated thin-film sensor technology that measures directly on the component ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

Intelligent organizations prioritize investments in machine learning and real-time data to improve decision making, accelerate revenue generation efforts, reduce operational expenses and protect ...

NFL teams are increasingly integrating artificial intelligence into draft preparation, combining wearable sensor data, machine learning film study, and predictive modeling to evaluate prospects. These ...