BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Eastern BEGIN:DAYLIGHT DTSTART:20220313T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20221106T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20220316T140458Z UID:E7EE08E1-890F-4B0E-AA00-4441E0541567 DTSTART;TZID=US/Eastern:20220315T190000 DTEND;TZID=US/Eastern:20220315T200000 DESCRIPTION:Human thought and scientific enquiry have undergone various sta ges of evolution\, from Greek idealism\, classical scientific\, modern pre -digital scientific\, and all the way to the modern digital\, data-centric era in which we are now living. Our day-to-day reality\, scientific disru ptions\, and revolutions are now almost entirely defined\, shaped\, and gu ided by the data. One can make a strong case that biology was one of the e arly sciences reshaped by the amount of the data collected by throughput t echnologies\, spewing off entire new sub-disciplines\, such as computation al biology and bioinformatics\, and undergoing minor and large disruptions at a rapidly increasing pace. My own AI research bears witness to such an evolution\, both in the questions we can now ask and answer\, and the met hodologies with which we can suddenly unravel complex problems. I will giv e a rapid view of this evolution through a highly personal lens on bioinfo rmatics. The end of the talk will provide diverse examples of scientific a dvances at the intersection of AI/ML and the material sciences\, social sc iences\, civil engineering\, urban planning\, and more. The talk will conc lude with some lessons learned and wishes for the process of scientific di scovery and the education of the next generation of scientists.\n\nCo-spon sored by: Northern Virginia/Washington Computational Intelligence Society\ n\nSpeaker(s): Dr. Amarda Shehu\, \n\nVirtual: https://events.vtools.ieee. org/m/304846 LOCATION:Virtual: https://events.vtools.ieee.org/m/304846 ORGANIZER:schulman@computer.org SEQUENCE:3 SUMMARY:AI/ML-Driven Scientific Advances: A Personal Journey\, Lessons\, an d Outlook URL;VALUE=URI:https://events.vtools.ieee.org/m/304846 X-ALT-DESC:Description: <br /><p>Human thought and scientific enquiry have undergone various stages of evolution\, from Greek idealism\, classical sc ientific\, modern pre-digital scientific\, and all the way to the modern d igital\, data-centric era in which we are now living. Our day-to-day reali ty\, scientific disruptions\, and revolutions are now almost entirely defi ned\, shaped\, and guided by the data. One can make a strong case that bio logy was one of the early sciences reshaped by the amount of the data coll ected by throughput technologies\, spewing off entire new sub-disciplines\ , such as computational biology and bioinformatics\, and undergoing minor and large disruptions at a rapidly increasing pace. My own AI research bea rs witness to such an evolution\, both in the questions we can now ask and answer\, and the methodologies with which we can suddenly unravel complex problems. I will give a rapid view of this evolution through a highly per sonal lens on bioinformatics. The end of the talk will provide diverse exa mples of scientific advances at the intersection of AI/ML and the material sciences\, social sciences\, civil engineering\, urban planning\, and mor e. The talk will conclude with some lessons learned and wishes for the pro cess of scientific discovery and the education of the next generation of s cientists.</p> END:VEVENT END:VCALENDAR