#4 - Professor James Whisstock скачать в хорошем качестве

#4 - Professor James Whisstock

Professor James Whisstock is the Deputy Dean (Research) in the Faculty of Medicine, Nursing and Health Sciences at Monash University and an Honorary National Health and Medical Research Council (NHMRC) Senior Principal Research Fellow. Based at the Monash Biomedicine Discovery Institute, he leads the Molecular Imaging of the Immune Response Laboratory, where his team investigates the structure and function of immune-related protein complexes. He is also a Fellow of the Australian Academy of Health and Medical Sciences (FAHMS) and a current Australian Research Council (ARC) Laureate Fellow. MAVERIC is a $60 million, self-funded initiative by Monash University to build a sovereign AI supercomputer facility, scheduled to be operational by early 2026. Using Nvidia’s GB200 NVL72 architecture, the project aims to secure independent high-performance computing power for Australia, allowing researchers to process massive datasets in healthcare and climate science without relying on government grants or overseas tech giants. Professor Whisstock is the primary strategist behind the project’s research application. He argues the investment is critical to closing the "computational gap" facing Australian scientists, ensuring they remain competitive in data-intensive fields like drug discovery and microscopy against international peers. -- https://www.monash.edu/medicine/about... https://research.monash.edu/en/person... -- Show Notes: (0:00) Intro (0:36) The "Haves vs. Have Nots" of research infrastructure (1:51) The origin of the Maverick Project (3:43) Saving $2B a year on melanoma checks (6:19) When AlphaFold made biologists feel useless (8:13) The 3 emotions of AI: Depression, Excitement, Fear (10:38) The Abundance Agenda (12:13) The environmental cost of a ChatGPT prompt (13:59) Doing 10 years of drug discovery in one month (16:28) Why cancer is a personal disease (19:35) AI triage in India: 100k doctors for 1.4B people (22:01) Petabyte-scale data from whole-body scanners (24:19) The iPhone moment for science (27:42) "Don't turn biologists into coders" (30:09) Simulating an entire human cell (33:10) Nvidia’s brute force approach (34:16) The "Unknown Unknowns" (35:50) Why scientists don't "prove" things (36:10) The erosion of trust in vaccines (39:27) 25% of drugs are discovered by accident (41:46) Using AI to detect research fraud (43:58) Why geniuses fall for conspiracies