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PRODID:-//AI 4 Scientific Discovery - ECPv4.6.26.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:AI 4 Scientific Discovery
X-ORIGINAL-URL:https://www.ai4science.network
X-WR-CALDESC:Events for AI 4 Scientific Discovery
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20200923T140000
DTEND;TZID=Europe/London:20200923T153000
DTSTAMP:20260522T200110
CREATED:20200909T144849Z
LAST-MODIFIED:20201119T101325Z
UID:848-1600869600-1600875000@www.ai4science.network
SUMMARY:23/09/2020 - AI3SD Online Seminar Series: AI for Science: Transforming Scientific Research - Professor Tony Hey
DESCRIPTION:\n\n\n\n**This event has now passed\, click here for event coverage** \n\n\n\n\n\nEventbrite Link: https://www.eventbrite.co.uk/e/ai3sd-online-seminar-series-ai-4-science-transforming-scientific-research-tickets-117289242281\n\nDescription:\nThis seminar forms part of the AI3SD Online Seminar Series that will run across the summer. Please sign up to register for this event\, and the weblink for the seminar will be sent to you the day before the event. A recording of this seminar will be made available on the AI3SD YouTube Channel.\n\nAbstract:\nThere is now broad recognition within the scientific community that the ongoing deluge of scientific data is fundamentally transforming academic research. Turing Award winner Jim Gray referred to this revolution as “The Fourth Paradigm: Data Intensive Scientific Discovery’. Researchers now need tools and technologies to manipulate\, analyze\, visualize\, and manage vast amounts of research data. This talk will begin by reviewing the challenges posed by the explosive growth of experimental and observational data generated by large-scale facilities such as the Diamond Synchrotron and the CryoEM Facilities at the Rutherford Appleton Laboratory. Increasingly\, scientists are beginning to use sophisticated machine learning and other AI technologies both to automate parts of the data pipeline and also to find new scientific discoveries in the deluge of experimental data. In particular\, ‘Deep Learning’ neural networks have already transformed several areas of computer science and research scientists are now exploring their use in analyzing their ‘Big Scientific Data’. The talk concludes with a vision of how this ‘AI for Science’ agenda can be truly transformative for experimental scientific discovery.\n\n\nBiography:\nTony is the Chief Data Scientist at the Science and Technology Facilities Council. Tony’s original background was in Physics\, completing his undergraduate degree and subsequent post-docs at the University of Oxford in the UK and then CalTech and CERN in the USA. He worked at the University of Southampton in the Physics Department originally before transferring to the Electronics and Computer Science Department where he created a leading research group in parallel computing. He was the director of the UK’s e-Science initiative (2001-2005) and then became the Vice President in Microsoft Research afterwards.\n
URL:https://www.ai4science.network/ai3sd-event/23-09-2020-ai3sd-online-seminar-series-ai-for-science-transforming-scientific-research-professor-tony-hey/
LOCATION:Online Event
CATEGORIES:Online Event,Seminar
ORGANIZER;CN="AI3SD":MAILTO:info@ai3sd.org
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