17–21 Sept 2022
Faculty of Physics, Astronomy and Applied Computer Science; Jagiellonian University
Europe/Warsaw timezone
Registration and Abstract submission are CLOSED

Computing with memristive devices

20 Sept 2022, 12:10
25m
Faculty of Physics, Astronomy and Applied Computer Science; Jagiellonian University

Faculty of Physics, Astronomy and Applied Computer Science; Jagiellonian University

Łojasiewicza 11, 30-348 Kraków, Poland
Regular talk Tuesday session

Speaker

Juan Pablo Carbajal (OST - Eastern Switzerland University of Applied Sciences)

Description

The computing power of current digital hardware is hitting unavoidable physical limits.
Analog hardware has reemerged as an alternative solution for specialized applications.
In particular, neuromorphic computers, using combination of analog and digital elements, are becoming increasingly competitive in machine learning applications, offering high-speed, low-footprint, and low-power solutions.
Memristors are nonlinear history-dependent devices, and are key components in neuromorphic hardware.
In this talk I will summarize recent developments in the field and point towards fundamental open problems in analog computing with memristors.

Primary author

Juan Pablo Carbajal (OST - Eastern Switzerland University of Applied Sciences)

Presentation materials

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