The steady rise of electric vehicles and renewable energy systems has pushed batteries to the limit. With cars, drones, and ...

Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative ...

Ben Khalesi covers the intersection of artificial intelligence and everyday tech at Android Police. With a background in AI and data science, he enjoys making technical topics approachable for those ...

Lithium-ion batteries power most electronics, but they have limited energy density—they can store only a certain amount of ...

In this interview with Mike Phillips, CEO of Sense, learn how machine learning is utilized to track electric vehicle (EV) usage, solar energy, and overall energy consumption. Discover how this ...

NanoEdge AI Studio from STMicroelectronics is an ML technology that speeds innovation, able to create an optimal ML library for an AI project based on a minimal amount of data. The growing potential ...

Producers are increasingly embracing new technologies, with adoption of drones, AI systems and genomic tools. The industry is ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Trespassing along a rail corridor remains one of the most important and challenging issues that railroad operators face every ...

A novel machine learning system effectively stratifies emergency department use and hospitalization risk of older patients with multimorbidity who take multiple medications and provides appropriate ...

CU Boulder researchers apply machine learning to snow hydrology in Colorado mountain drainage basins, finding a new way to accurately predict the availability of water Determining how much water is ...