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UID:d1d0167c-065c-49d9-bf9e-6d69a54a0b81
DTSTAMP:20260623T031947Z
SUMMARY:Back to the future: Computer science and systems biology 
DESCRIPTION:Which creature implemented code injection 1.5 billion years bef
 ore any computer malware did? What is the decoding algorithm being used in
  each of our cells to run the program written in our genes? As computer sc
 ientists\, we are pushing the edge to develop disruptive technologies for 
 the future. In fact\, we can learn from an industry that has been evolving
  since long before humankind existed: The evolution of biological systems.
  With our proposal we hope to show the incredible parallels between bacter
 ia and computer malware\, the complex algorithms implemented in each of ou
 r cells\, and how each plays a pivotal role in furthering the research of 
 the other. This lecture will take the audience on an educational journey t
 hrough both disciplines. This will foster interdisciplinary collaboration 
 and inspire innovative solutions to future challenges for instance in the 
 context of synthetic biology (i.e. creating artificial life)\, or personal
 ized medicine (i.e. machine learning to treat patients). We are made up of
  trillions of computational devices. The cells within our body are informa
 tion-processing units\, with memory\, storage\, cooling and communication 
 devices. Hardware for executable programs was very successfully shaped dur
 ing the evolution of uncountable biological entities. We are presenting a 
 wormhole between the two parallel universes of computer science and system
 s biology. A leap through space and time will allow us to connect the evol
 ution of life with recent advances in computer science. An intimate exchan
 ge between the computational and the biological spheres is a prerequisite 
 for future generations to work together on aspects of gene editing\, robot
 ics and artificial intelligence. As an incentive\, we will perform a small
  quiz during our lecture with attractive prizes. It is our firm belief tha
 t we are the right team to foster discussions on life-inspired computer (r
 )evolution. Lorenz holds a PhD in Systems Biology and works as a freelanci
 ng author\, consultant and keynote speaker besides being a visiting scient
 ist at the Weizmann Institute of Science\, Israel. Noa is a cyber-security
  expert with seven years of work experience in a high-profile IT company i
 n Israel. Together we will stir an interactive debate on the subject.\n\nS
 peaker(s): Dr Lorenz Adlung\, Noa Novogroder\n\nLocation: Red Team Vlg\n\n
 Discord: https://discord.com/channels/708208267699945503/72647735782041194
 4\n\nEvent starts: 2020-08-08 01:00 (01:00 AM) PDT (UTC -07:00)\n\nEvent e
 nds: 2020-08-08 02:00 (02:00 AM) PDT (UTC -07:00)\n\nFor the most up-to-da
 te information\, please either visit https://info.defcon.org\, or use Hack
 erTracker\, which is available for iOS and Android. This is an automated m
 essage\, and this data was last modified 2020-07-29T01:25 (UTC).
URL:https://forum.defcon.org/node/234313
DTSTART:20200808T090000Z
DTEND:20200808T100001Z
LOCATION:Red Team Vlg
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