For years, the guiding assumption of artificial intelligence has been simple: an AI is only as good as the data it has seen. Feed it more, train it longer, and it performs better. Feed it less, and it ...

Abstract: Heuristic dispatching rules (HDRs) are widely used for solving the dynamic fuzzy job shop scheduling problem (DFJSSP). However, their performance is highly sensitive to specific scenarios ...

For years, the guiding assumption of artificial intelligence has been simple: an AI is only as good as the data it has seen. Feed it more, train it longer, and it performs better. Feed it less, and it ...

These new models are specially trained to recognize when an LLM is potentially going off the rails. If they don’t like how an interaction is going, they have the power to stop it. Of course, every ...

Our research focuses on sustainable built environment, mechanics and materials, multidisciplinary energy technology, and design and implementation of technical systems. The strength of our school lies ...

In this report, we talk to experts such as Sumcab Robotics, Fanuc, Ingemat, Robotnik and ABB about the current situation in the sector, the challenges it faces and the emergence of AI, as we ...

Researchers at the University of Tuebingen, working with an international team, have developed an artificial intelligence that designs entirely new, sometimes unusual, experiments in quantum physics ...

Even the most carefully designed objects, components, and machines have limited lifespans. This explains why roads crack under repeated stress, cement develops fractures, and protective coatings ...

Abstract: Modern embedded systems are evolving quickly, demanding innovative approaches to software development across various domains. Selecting the right programming language is crucial for ...