A5034564691- Ferroelectric and Negative Capacitance Devices
- Advanced Memory and Neural Computing
- Machine Learning in Materials Science
- DNA and Biological Computing
- Modular Robots and Swarm Intelligence
IBM (United States)
2025
IBM Research - Zurich
2023
Board of the Swiss Federal Institutes of Technology
2023
ETH Zurich
2023
The massive use of artificial neural networks (ANNs), increasingly popular in many areas scientific computing, rapidly increases the energy consumption modern high-performance computing systems. An appealing and possibly more sustainable alternative is provided by novel neuromorphic paradigms, which directly implement ANNs hardware. However, little known about actual benefits running on hardware for cases computing. Here, we present a methodology measuring cost compute time inference tasks...