Seezer combines a compliant 3D-printed finger and miniature camera for innovative vision-based force sensing, improving robotic handling of various objects.

Research reveals that knowledge distillation significantly compensates for sensor drift in electronic noses, improving ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

AI factories meet the computational capacity and power requirements of today’s machine-learning and generative AI workloads.

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

AI hallucinations about a brand come in many types: A generative AI system might show a person who isn’t the actual founder, display the wrong address for the headquarters, or describe an old product ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure within the theory of finite groups. By training neural networks to recognise ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

AI systems are increasingly being integrated into safety- and mission-critical applications ranging from automotive to health care and industrial IoT, stepping up the need for training data that is ...