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TZID;X-RICAL-TZSOURCE=TZINFO:America/Los_Angeles
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DTSTART:20200308T020000
RDATE:20200308T020000
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BEGIN:VEVENT
CREATED;VALUE=DATE-TIME:20200715T231520Z
DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20200723T110000
DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20200723T100000
DTSTAMP;VALUE=DATE-TIME:20200715T231520Z
LAST-MODIFIED;VALUE=DATE-TIME:20200715T231520Z
UID:http://calagator.org/events/1250477127
DESCRIPTION:The rise of machine learning (ML) and artificial intelligence
  (AI) have instigated significant interests in developing domain specifi
 c integrated circuits and architectures that can support the computation
 al demands of AI. These chips are commonly known as AI chips. AI chips\,
  both for training and inferencing\, have emerged out to be new areas of
  research and commercialization in semiconductor industry. Particularly\
 , increasing emphasis has been placed on developing low-power AI chips f
 or edge applications where AI can be local\, distributed\, and seamlessl
 y integrated in sensors or other internet of things (IoT) devices for bu
 ilding naturally-autonomous systems. On the other-hand\, globalization o
 f semiconductor ecosystem has led to an era where achieving dominance on
  Microelectronics supply chain has become as exciting as the famous seri
 es “Game of Thrones” for not only the companies but also the countries. 
 Furthermore\, the end of Moore’s Law of Scaling of traditional semicondu
 ctor transistors has added the climax to this situation as the developme
 nt and manufacturing of advanced process nodes for the next generation o
 f logic and memory devices get expensive driving most semiconductor indu
 stry in the US to be fabless. Interestingly\, advanced process nodes suc
 h as FINFETS\, 3D Transistors\, RRAMs/Memristors\, and 3D/Monolithic int
 egration and packaging approaches provide unsurpassed opportunities to a
 chieve the much desired On-Chip AI along with the primitives for impleme
 nting Hardware Security\, and Trust into the integrated circuits. This t
 alk will review some of these technologies and our research efforts in t
 hese areas.\n\nTags: galois\, tech talk\, Rashmi Jha\n\nImported from: h
 ttp://calagator.org/events/1250477127
URL:https://galois.com/blog/2020/07/public-tech-talk-on-chip-ai-hardware-
 security-and-trust-using-advanced-process-nodes/
SUMMARY:Public Tech Talk: "On-Chip AI\, Hardware Security\, and Trust Usi
 ng Advanced Process Nodes" by Dr. Rashmi Jha
LOCATION:This talk will be live-streamed and is open to the public. To re
 ceive Zoom meeting information\, send an email request to: techtalkcoord
 inator@galois.com: false
SEQUENCE:1
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