MayimFlow, the Built World stage winner at this year’s TechCrunch Disrupt, is a good example. The startup is focused on ...

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...

From Human Judgment to Algorithmic Intelligence Traditional driving relies on human perception, reaction time, and experience ...

New types of sensors can generate environmental data in real time using a range of tools, including flexible, printed ICs and ...

Eggs are more than just a breakfast staple – they’re a global nutritional powerhouse packed with essential vitamins, minerals ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

Key market opportunities in camera image signal processors include optimizing AI-driven processing for diverse conditions, meeting demands in automotive, medical, and smartphone sectors, and ...

A new Israeli study suggests that machine-learning models may soon give growers a far more precise way to predict how much water their crops use each day, while also laying the groundwork for earlier ...

Jane Marsh, Editor-In-Chief at Environment.co, explores how advanced data analytics and digital technologies can revitalise ...

Hero Medical Technologies Awarded OTA by MTEC to Advance Machine Learning and Wearable Sensing for Field Triage ...

While sensing technologies have advanced rapidly, the study identifies data fragmentation as one of the most persistent ...