Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...

Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human ...

In addition to improved performance from individual sensing technologies, including radar and light detection and ranging ...

Explore how machine learning in insurance enhances risk assessment, fraud detection, and personalization. ✓ Subscribe for ...

In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct sensitive training data from model outputs. Membership inference attacks allow ...

Harvard researchers have developed OpenMetabolics, an open-source, smartphone-based activity monitor that uses machine ...

Detecting complex chemical odors and gas mixtures is essential for environmental safety, healthcare, and food quality control, yet traditional gas sensors often struggle with limited selectivity, ...

Though it might feel great to finish a workout and see "calories burned" pop up on your smartwatch, that number is often surprisingly inaccurate, with estimated error rates of 30%–80%. The watch's ...

Recent technological advances have opened new exciting possibilities for the development of smart prosthetics, such as artificial limbs, joints or organs that can replace injured, damaged or amputated ...

By Dr. Liji Thomas, MD By turning so-called “motion artefacts” into valuable data, researchers reveal that the natural dynamics of loose garments may hold more predictive power than tightly strapped ...

Netscout expands AI for telecom networks, offering curated real-time intelligence to enable automation, predictive maintenance and resilient service operations.

Brazilian researchers have developed a methodology that uses remote sensing to map the impact of frost on corn crops. This reduces exposure to climate risks and uncertainty regarding agricultural ...