This paper demonstrates that analog computers offer a viable platform for fast, energy-efficient, low-precision computing by comparing their performance to digital processors, with examples including differential equation solving, computational fluid dynamics, and hybrid computing models.
Bernd Ulmann is a renowned expert in analog computing, with over 30 years of experience in IT, mathematics, and education. He is co-founder of anabrid GmbH, a company developing cutting-edge analog computing solutions and a professor at FOM University of Applied Sciences for Economics and Management in Frankfurt/Main.
His expertise extends beyond academia and business. He is the curator of a unique Analog Computer Museum in Bad Schwalbach, Germany, which houses a world-class collection of analog computing devices. His passion for preserving and advancing analog technology has made him a prominent figure in the field.
Murex FlexAPI, Murex MXML, comprehensive work experience with and understanding of financial products, including derivatives, aA, notably Credit, Market and Operational Risk, and associated risk mitigation techniques Experience in Network Planning, Software-Development, Migration and Consolidation Project Management, Backup Concepts, Security Services, C/C++, SQL Server 2000/2005, Unix, Java
Theoretical physicist and entrepreneur: I co-founded Anabrid, the German deep-tech startup that makes every computer on earth green. Our applications are in artificial intelligence, quantum simulation, control technology, robotics, automotive, aviation and many many more. Background in quantum gravity, relativistic astrophysics, applied mathematics and computer science. My current research focus is on exotic computing approaches, such as analog computing, quantum computing or neuromorphic architectures.