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SUMMARY:CANCELLED: Wheeler Lecture 2022 - David Silver\, Principal Researc
 h Scientist at DeepMind
DTSTART:20220518T141500Z
DTEND:20220518T154500Z
UID:TALK174428@talks.cam.ac.uk
CONTACT:Ben Karniely
DESCRIPTION:We're sorry to announce that the 2022 Wheeler Lecture\, schedu
 led for Wednesday 18th May\, has been cancelled due to illness. We are hop
 ing to reschedule the lecture at a later date.\n\nPlease find below the pr
 ogramme for the Research Showcase (in lieu of the Wheeler Lecture):\n \n18
 th May 2022 @ 15:15-16:15 in LT1 \nRESEARCH SHOWCASE\nA very exciting prog
 ramme has been put together for today in LT1 as follows:\n \n15:15-15:30 -
  Introduction by Ann Copestake (15 mins)\n15:30-15:35 - Jennifer Cobbe ‘
 Compliant & Accountable Systems’ (5 mins)\n15:35-15:50 – Srinivasan Ke
 shav ‘Bringing Trust to Carbon Credits Through Computer Science’ (15 m
 ins)\n15:50-15:55 – Andrea Ferlini ‘In-Ear Audio Sensing’ (5 mins)\n
 15:55-16:10 – Simon Moore ‘Fundamentally improving security using capa
 bilities’ (15 mins)\n16:10-16:15 – Martin Kleppmann ‘Local-first sof
 tware: Resilient and secure collaboration’ (5 mins)\n16:15 – Closing r
 emarks by Ann Copestake\n \nAn Afternoon Tea will follow immediately in Th
 e Street after the Research Showcase.\n\n\nAbout the annual Wheeler Lectur
 es\n\nThe annual Wheeler Lectures are held in memory of Professor David Wh
 eeler\, one of the pioneers of Computer Science. He worked on the original
  EDSAC computer here and wrote the first computer program ever to be store
 d in a computer’s working memory. He pioneered the use of sub-routines a
 nd is particularly remembered for his work on data compression.\n\nAbout D
 avid Silver \n\nWe were very much looking forward to hearing the talk by D
 avid Silver who leads the reinforcement learning team at DeepMind and is a
 lso a professor at University College London. We hope to reschedule his ta
 lk at a later date.\n\nDavid’s work focuses on artificially intelligent 
 agents based on reinforcement learning. David led or co-led projects that 
 played Atari games directly from pixels (Nature 2015)\, defeated a world c
 hampion in the game of Go (Nature 2016)\, learned by itself to defeat the 
 world’s strongest chess\, shogi and Go programs (Nature 2017\, Science 2
 018)\, even without knowledge of the rules (Science 2020)\, and defeated p
 rofessional StarCraft players (Nature 2019).\n\nHe also contributed to Alp
 haFold\, the program that solved the protein folding problem (Nature 2020\
 , Nature 2021).\n\nHis work has been recognised by the ACM Prize in Comput
 ing\, Marvin Minsky award\, Mensa Foundation Prize\, Royal Academy of Engi
 neering Silver Medal\, ACM Fellowship and Royal Society Fellowship.\n\nWe 
 look forward to welcoming him into the Department to give his talk when a 
 suitable date can be arranged. 
LOCATION:Lecture Theatre 1\, Computer Laboratory
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