BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Cambridge Computer - ECPv6.16.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Cambridge Computer
X-ORIGINAL-URL:https://www.cambridgecomputer.com
X-WR-CALDESC:Events for Cambridge Computer
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Halifax
BEGIN:DAYLIGHT
TZOFFSETFROM:-0400
TZOFFSETTO:-0300
TZNAME:ADT
DTSTART:20230312T060000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0300
TZOFFSETTO:-0400
TZNAME:AST
DTSTART:20231105T050000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0400
TZOFFSETTO:-0300
TZNAME:ADT
DTSTART:20240310T060000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0300
TZOFFSETTO:-0400
TZNAME:AST
DTSTART:20241103T050000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0400
TZOFFSETTO:-0300
TZNAME:ADT
DTSTART:20250309T060000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0300
TZOFFSETTO:-0400
TZNAME:AST
DTSTART:20251102T050000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240718
DTEND;VALUE=DATE:20240719
DTSTAMP:20260617T231112
CREATED:20241017T195607Z
LAST-MODIFIED:20260420T235147Z
UID:22836-1721260800-1721347199@www.cambridgecomputer.com
SUMMARY:AI Futures at Harvard Medical School
DESCRIPTION:Cambridge and NVIDIA had a full house at Harvard Med for the seminar entitled AI Futures at Harvard Medical School. GPU in EDU is a seminar series co-produced by NVIDIA and Cambridge Computer. We travel to universities and research institutions across the country to share ideas and insights related to AI and ML at the intersection of science and IT infrastructure. The content of each session is tailored to the specific interests of the institution hosting the event. Harvard Med chose to focus on deep learning for genomics\, NVIDIA software frameworks\, and GPU resource management. \nWe’d like to thank our friends at Harvard\, Run:ai\, and NVIDIA for making this event possible. Their support and collaboration were instrumental in making it a memorable and informative event. Special thanks for Run:ai for co-sponsoring the event and sharing insights into their amazing technology for pooling and scheduling GPU resources. We’d also like to thank Christos Alexiadis (Cambridge) and Eliot Eshelman (NVIDIA) for all their work behind the scenes. \nAgenda\nWelcome Session (10:00am – 10:15 am) Presented by: Eliot Eshelman (NVIDIA) & Jose Alvarez (Cambridge) \nPart 1. Deep Learning & Genomics (10:15 am – 12:30 pm) 10:15 – 11:00 am – Training\, Tuning\, & Deploying large deep learning models (45 mins) – Huiwen Ju (NVIDIA) 11:00 – 11:45 am – Deep learning applications in proteomics (45 mins) – Glen Otero (Cambridge) 11:45 am – 12:30 pm – GPU-based acceleration of genomic data. (45 mins) – Glen Otero (Cambridge) \nLunch break (12:30 pm – 1:30 pm) We will be ordering Milk Street Cafe for our networking/lunch hour portion of the agenda. \nPart 2: New NVIDIA Software Frameworks for Life Sciences (1:30 pm – 2:30 pm) \n\nSurvey of NVIDIA software frameworks in healthcare & life sciences (1 hour) – Huiwen Ju (NVIDIA)\n\nNIMs for standardized\, efficient Generative AI deployments (hands-on with https://ai.nvidia.com/)\nBioNeMo for AI-driven drug discovery\nMONAI the open-source framework for AI in medical imaging\nVISTA-2D AI Foundation model for cell segmentation\nRAPIDS for accelerated data science\nFLARE for federated learning\n\n\n\nCoffee Break (2:30 pm – 2:45 pm) \nPart 3. GPU Utilization (2:45 pm – 3:45 pm) \n\nSummary of latest NVIDIA architectures (5 minutes) – Brad Palmer (NVIDIA)\n\nH200\, B200\, GH200\, GB200\n\n\nGPU Monitoring and Management (25 minutes) – Brad Palmer (NVIDIA)\n\nCollecting and Displaying GPU performance data\nManaging GPU configurations across a cluster\n\n\nGPU Resource Management (30 mins) – Brett Wagner (Run:ai)
URL:https://www.cambridgecomputer.com/event/ai-futures-at-harvard-medical-school/
LOCATION:Countway Library\, Harvard Medical School\, 695 Huntington Ave.\, Boston\, 02115
CATEGORIES:GPU in EDU
ATTACH;FMTTYPE=image/jpeg:https://www.cambridgecomputer.com/wp-content/uploads/2024/10/GPU_in_EDU_at_HMS.jpg
END:VEVENT
END:VCALENDAR