The organizations that succeed will be those that place empathy, transparency and fairness at the core of their AI journey.

Some of the world’s most interesting thinkers about thinking think they might’ve cracked machine sentience. And I think they ...

A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...

In the traditional view, affordances exist as options users perceive and act upon within their environment. However, in the age of genAI, affordances have become relational folds, dynamic exchanges in ...

The latest generation of artificial intelligence models is sharper and smoother, producing polished text with fewer errors ...

Cyborg cockroaches guided by ultraviolet light and motion feedback navigate obstacles autonomously, showing how noninvasive ...

In recent years, the field of robotics has undergone significant transformation, driven increasingly by advances in brain-inspired and neurally grounded ...

Data scientists are in high demand—and for good reason. Companies rely on them to turn large, messy datasets into insights ...

Introduction Stress is a major health issue in contemporary society, and mindfulness-based approaches reduce stress and anxiety but face practical barriers to consistent practice; this protocol ...

Abstract: Singular value decomposition (SVD) is a matrix factorization technique widely used in signal processing and recommendation systems, etc. In general, the time complexity of SVD algorithms is ...

Abstract: Previous works to secure IoT devices have mainly focused on 8-bit hardware architectures for AES encryption. In this paper, we present a new 16-bit ASIC design for AES encryption optimized ...

Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling ...