BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Neuroarchitectonic Devices using Atomic Switches
DTSTART:20171107T151500
DTEND:20171107T160000
DTSTAMP:20260502T113039Z
UID:6f4ddec4269b9aa44ab3206885384b23d063048e6afbe0a108d5f2fc
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Dr. James K. Gimzewski\nIMT Distinguished Lecture (pleas
 e note the updated time at 3pm)\n\nAbstract: In recent years there has bee
 n an ever-increasing explosion of “Big Data” mainly in the form of uns
 tructured data sets. Likewise\, the growth of our awareness of complexity 
 and emergent behavior has been recognized in networks ranging from social 
 media\, economics\, bio complexity and the weather.  Together with the sl
 owing down of Moore’s law\, these factors have promulgated a search for 
 alternative forms of computation that can handle and assess risk in comple
 x environments. As a consequence Neuromorphic computational approaches usi
 ng hardware implementing memristive approaches has gained in interest. Ato
 mic Switch Networks (ASN’s) are devices inspired by the electrical and s
 tructural characteristics of the neocortex. Single atomic switches have be
 en shown to exhibit both long-term and short-term memorization based on th
 eir history of excitation dynamics. When connected together in a massively
  dense network using nanoarchitectonics they additionally display emergent
  behavior observable using multielectrode arrays similar to EEG to follow 
 their spatio-temporal dynamics. A number of architectures using spike timi
 ng dependent plasticity (STDP)\, Hopfield networks and Reservoir computati
 on  (RC) are promising methods to implement neuromorphics.  RC approache
 s essentially take time series data are suitable for problems such as ASN 
 devices have been used as a potential hardware platform. \n\nBio: Dr. Jam
 es K. Gimzewski is a professor of Chemistry at the University of Californi
 a\, Los Angeles and member of the California NanoSystems Institute. His cu
 rrent research includes STM and AFM of graphene and its nanomechanics\, fa
 brication of atomic switch networks to emulate the neocortex and the mecha
 nobiology of cells\, exosomes and actin bound with neuronal binding protei
 ns. Dr. Gimzewski is a Fellow of the Royal Society and Royal Academy of En
 gineering. He has received honorary Doctorates (DSc hc & PhD hc) from the 
 University of Aix II in Marseille\, France and from the University of Stra
 thclyde\, Glasgow. He was Principal Investigator & satellite co-director o
 f the WPI program\, MANA\, at the National Institute of Materials Science 
 (NIMS) in Tsukuba\, Japan. He is currentlyo Scientific director of the UCL
 A Art|Sci Center. Prior to joining the UCLA faculty in 2001\, he was a gro
 up leader at IBM Zurich Research Laboratory\, where he conducted research 
 in nanoscale science and technology for more than 18 years. Dr. Gimzewski 
 pioneered research on mechanical and electrical contacts with single atoms
  and molecules using scanning tunneling microscopy (STM).\n 
LOCATION:SV 1717 https://plan.epfl.ch/?room==SV%201717
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR