
Tom Potok
@tjtt2
Data scientist working with brilliant people on machine learning, deep learning, and text analysis using worlds fastest computers
ID: 23138688
http://cda.ornl.gov/potok/personal/Thomas_Potok_PhD/About.html 06-03-2009 23:56:23
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104 Followers
178 Following






ORNL and Georgia Tech scientists are tapping the immense power of the Summit #supercomputer to comb through millions of journal articles to find potential vaccines, drugs and effective measures that could stop the spread of #COVID19. ▶️ bit.ly/2WHKbCB #NatLabsInTheFight


Researchers discover unique material design for brainlike computations EurekAlert! News tinyurl.com/yb8skrmc #DTHSTR


Findings weaken notion that size equals strength for neural connections EurekAlert! News tinyurl.com/yd96qdm7 #DTHSTR


Our first #ICONS2020 keynote speaker is now on! BohteNeuroLabCWI is a pioneer in the field of advanced and efficient spiking neural networks.




We calculated all-pairs shortest path info for a #KnowledgeGraph composed of all #CORD19 papers and related UMLS concepts (based on processed CORD-19 released by NLM) and are releasing the results: dx.doi.org/10.13139/OLCF/… (readme: zenodo.org/record/3980252) #COVID19 ORNL Computing & Computational Sciences


.Oak Ridge Lab staff including Katie Schuman (Catherine (Katie) Schuman) and Tom Potok (Tom Potok) virtually hosted the 2020 International Conference on #Neuromorphic Systems (ICONS). The event drew attendees from 22 U.S. states and 18 countries: bit.ly/3hyFPWm


Congratulations to ORNL Computing & Computational Sciences’s Thomas Potok (Tom Potok), one of six Oak Ridge Lab scientists recently named Battelle Distinguished Inventors! bit.ly/2K7nDIf


SNAPSHOT: Oak Ridge Lab researchers used #AI and #HPC techniques to quickly comb through millions of medical journal articles and academic papers, revealing connections between concepts to pinpoint promising research directions. #COVID19 #NatLabsInTheFight bit.ly/3texaxT

#ICONS2021 kicks off today with a tutorial by Jason Eshraghian on Deep Learning with SNNs using snnTorch! #neuromorphic