ELFT HÍRADÓ

[DORA Balazs <dora AT eik.bme.hu>]

                   MEGHÍVÓ


      a Szilárd Leó-Kollokvium előadására:

            Halbritter András (BME)

"Atomic-scale Building Blocks for Artificial Intelligence"



Kivonat: Recently an incredible progress has been achieved in the hardware 
implementation of artificial neural networks utilizing resistive switching 
memory (RRAM) technology relying on the voltage induced formation and 
degradation of conducting filaments within an insulator matrix. As an 
example, 128x64 memristor crossbar arrays were built and successfully 
applied for efficient image processing and machine learning tasks. The 
active volume of such devices is much smaller than in conventional 
semiconductor architectures, it can even reach the ultimate, atomic 
size-scales. In the talk I will review the recent progress in RRAM 
research, along with our results on the physical understanding of 
atomic-sized artificial synapses.



Helye: BME Fizikai Intézet, Fizika Tanszék
Budafoki út 8. F-épület, 2. emelet, 13-as terem

Ideje: 2019. október 1. (kedd), 14:30, kapunyitás 14.15-től.
Program: http://physics.bme.hu/kollokvium



Minden érdeklődőt szívesen látunk!

Dóra Balázs és Zaránd Gergely