In-sensor computing could become a fundamentally new approach to the deployment of machine learning in small devices that must operate securely with limited energy resources, such as wearable medical ...

A ML-based probabilistic clustering approach for optimal CH selection based on residual energy, node density, and average network energy; A sleep scheduling mechanism to deactivate redundant nodes in ...

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 ...

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 ...

AI-powered tools are rapidly changing the automotive repair industry, shifting it from reactive fixes to predictive maintenance. Automakers and repair shops are using machine learning, sensor data, ...

Innovative flood sensors and machine learning are key to smart cities, providing timely predictions and enhancing urban flood ...

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