Scientists say they've made a key breakthrough that would allow robots to figure out complex tasks on their own — but experts ...

EXCLUSIVE Autonomous cars are edging closer – and they could transform road safety. Steve Fowler has been in a self-driving ...

How Physical Intelligence is Redefining Robot Learning In the fast‑evolving world of robotics, a breakthrough announced by the research team ...

This study presents KEPT, an AI system that helps self-driving cars predict their own short-term path more safely by combining video understanding ...

There is no doubt that the semiconductor industry is in an era of rapid and profound transformation, driven by an increasing ...

New research led by Southwest Research Institute (SwRI) integrated three types of machine learning models to generate solar ...

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks ...

Explore the Types of Machine Learning and their impact on AI. Learn how these core frameworks drive digital innovation and automation in India today.

Abstract: Self-supervised learning has gained significant attention in contemporary applications, particularly due to the scarcity of labeled data. While existing SSL methodologies primarily address ...

The U.S.’ top automotive safety regulator is notching up its investigation into the performance of Tesla’s Full Self-Driving (Supervised) driving software in low-visibility conditions. The National ...

Abstract: Few-shot learning seeks to emulate humans by grasping a new concept with a few examples. However, it is often a tricky problem to completely learn a new concept and avoid falling into ...

Recently, federated learning has been successfully applied in fields related to cyber-physical-social systems (CPSSs), owing to its ability to harness decentralized clients for training a global model ...