BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//SVACS - ECPv6.15.1.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.siliconvalleyacs.org
X-WR-CALDESC:Events for SVACS
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20260308T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20261101T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260707T070000
DTEND;TZID=America/Los_Angeles:20260707T080000
DTSTAMP:20260803T001631
CREATED:20260703T180254Z
LAST-MODIFIED:20260703T180254Z
UID:22806-1783407600-1783411200@www.siliconvalleyacs.org
SUMMARY:Data: The engine behind AI-driven drug discovery
DESCRIPTION:Sponsored by CAS\n 7:00-8:00 am\, Online\, Free\, Registration required\n\nAbout This Webinar\nAs AI reshapes drug discovery\, the quality of scientific data has become the foundation on which model performance is built or broken. This webinar examines the trends driving AI adoption in the field\, including foundation models\, multimodal architectures\, RAG-based scientific reasoning\, and knowledge-centric workflows. Ayelet Ofarim\, Ph.D.\, explores how the structure\, consistency\, and completeness of underlying data determine AI performance and success. \nWhat You Will Learn\n\nHow high-integrity scientific data accelerates discovery pipelines\, enables reliable decision-making\, and reduces downstream risk.\nWhat knowledge-centric workflows look like in practice\, and how they separate high-performing AI programs from the rest.
URL:https://www.siliconvalleyacs.org/event/data-the-engine-behind-ai-driven-drug-discovery/
LOCATION:Virtual
CATEGORIES:CAS Webinar
ATTACH;FMTTYPE=image/jpeg:https://www.siliconvalleyacs.org/wp-content/uploads/2022/11/CAS-logo.jpg
END:VEVENT
END:VCALENDAR