MemComputing applications in Machine Learning
- Date
- Sep 5, 2024
- Time
- 1:00 PM - 3:00 PM
- Speaker
- Massimiliano Di Ventra
- Affiliation
- Department of Physics University of California, San Diego
- Series
- TUD nanoSeminar
- Language
- en
- Main Topic
- Physik
- Other Topics
- Physik
- Host
- Arezoo Dianat
- Description
- MemComputing is a new physics-based approach to computation that employs time non-locality (memory) to both process and store information on the same physical location [1]. After a brief introduction to this computing paradigm, I will discuss its application in the field of Machine Learning, by showing efficient supervised and unsupervised training of neural networks, demonstrating its advantages over traditional sampling methods. Work supported by DARPA, DOE, NSF, CMRR, and MemComputing, Inc. (http://memcpu.com/). [1] M. Di Ventra, MemComputing: Fundamentals and Applications (Oxford University Press, 2022).
- Links
Last modified: Sep 6, 2024, 7:38:54 AM
Location
TUD Materials Science - HAL (HAL Bürogebäude - 115)Hallwachsstraße301069Dresden
- Homepage
- https://navigator.tu-dresden.de/etplan/hal/00
Organizer
TUD Institute for Materials ScienceHallwachsstr.301069Dresden
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