How to navigate the expanding market and avoid missteps where the newest sensors provide more capability than what you’ve ...

In the real world, multiple types of modal information originate from the external environment and interrelate to form a whole. Multi-modal data fusion technology integrates data from diverse sources ...

Machine learning (ML) could allow drug firms to create predictive process models that optimize development, production, and quality control. But, before embracing ML on the factory floor, ...

While sensors and low power actuators occupy the lowliest level of an automation system, they often require a disproportionate amount of time and attention. Historically, each sensor added entailed ...

The idea of these so-called perception-driven systems is to interpret raw sensor data and convert it into actionable understanding. So, they capture the images as traditional machine vision would, but ...

Touch is the sense that brings us into direct contact with reality, revealing shape, texture, and resistance. Designing soft sensors to mimic biological fingertips facilitates natural haptic ...

Aging is a complex, multi-system process that shapes health trajectories and risk for age-related outcomes across the life course. At the same time, aging ...

Research reveals that knowledge distillation significantly compensates for sensor drift in electronic noses, improving ...