Penn State scientists have devised a new method to predict superconducting materials that could work at higher temperatures. Their model bridges classical superconductivity theory with quantum ...

What can the addition of a negative temperature coefficient (NTC) resistor input capability bring to sensors? According to Melexis, a better detection of variations in system temperatures. The ...

Thermopile sensors offer a reliable way to measure temperature without physical contact, making them ideal for real-world applications where speed, safety, and precision matter. Whether you are ...

A new Apple-supported study argues that your behavior data (movement, sleep, exercise, etc.) can often be a stronger health signal than traditional biometric measurements like heart rate or blood ...

Abstract: Accurate ocean temperature measurement is critical for climate studies and ocean circulation modeling. Thermistor-based sensors, valued for high sensitivity and stability, require precise ...

Predictive maintenance can help manufacturers save on costs by spotting equipment issues early. Companies like Aquant and Gecko Robotics provide AI-powered tools that inform maintenance decisions.

Google has open sourced an AI model, SpeciesNet, designed to identify animal species by analyzing photos from camera traps. Researchers around the world use camera traps — digital cameras connected to ...

Temperature sensors are an important yet often overlooked part of a HomeKit setup. Even working as a passive tracking device, I want to add them to every room to understand more about what’s happening ...

Researchers at Archetype AI have developed a foundational AI model capable of learning complex physics principles directly from sensor data, without any pre-programmed knowledge. This breakthrough ...