Artificial neural networks are becoming increasingly large and complex – and therefore require more and more energy for training with data. A research team led by Felix Dietrich, Professor of Physics-Enhanced Machine Learning at the Technical University of Munich (TUM), is working on replacing training steps with mathematical methods. This reduces power consumption and helps to better understand how artificial intelligence (AI) works…
NHR@FAUs next HPC Café will take place on April 8 at 4:00 p.m. as a hybrid event. As always, there will be plenty of time to get in touch with your favorite HPC group. We invite you to come to NHR@FAU to enjoy coffee, cake, and computing. The event starts at 4:00 p.m. CEST with an open coffee chat, and at 4:30 p.m., we will start the presentation.
The new supercomputer “Blue Lion” is part of the German national HPC infrastructure of the Gauss Center for Supercomputing and will serve a wide range of research projects, combining classic simulations with artificial intelligence. Please read the press release of HPE. Blue Lion is scheduled to go live in early 2027 and deliver 30X faster performance…
With the CS-2 system from Cerebras, AI models for the recognition of hate speech on social media platforms can be trained faster, and offensive texts can be detected more effectively. This is shown by a study from the LRZ that compares different AI accelerator systems. Identifying hate speech and removing it from the digital world: This is a task…
