In the ERC project HelixMold, a team from TU Graz developed a method for the computer-based design of artificial proteins, ...

From coding to hardware, LLMs are speeding up research progress in artificial intelligence. It could be the most important ...

Fine-tuning is like coaching a trained athlete to master a new technique. You’ve learned to swim—now you’re training for a triathlon. That’s fine-tuning. In machine learning, it means starting with a ...

Artificial intelligence (AI) has been increasingly applied to solve complex real-world problems. One of the most significant challenges in AI lies in selecting and fine-tuning the optimal algorithm ...

This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning to solve ...