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

We've all been there, protecting our ears—the school play in the gym or community hall, where sound is distorted due to ...

Step inside the Soft Robotics Lab at ETH Zurich, and you find yourself in a space that is part children's nursery, part ...

Rock-paper-scissors is usually a game of psychology, reverse psychology, reverse-reverse psychology, and chance. But what if ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

The study points up interpretability as a critical barrier to trust and adoption. Many AI-based cybersecurity tools function ...

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...

Entry jobs are inputs, and middle managers are "dropout layers." See why the few remaining executives are surging.

Despite soaring progress, scientists at AI’s largest gathering say key questions about how models work and how to measure ...