It could seem intuitive that AI and deep mastering can pace up workflows — such as novel drug discovery, a normally yrs-very long and many-billion-dollar endeavor.
But professors Artem Cherkasov and Olexandr Isayev were amazed to obtain that no new educational papers furnished a thorough, world-wide investigate critique of how deep studying and GPU-accelerated computing impression drug discovery.
In March, they printed a paper in Mother nature to fill this hole, presenting an up-to-date assessment of the condition of the art for GPU-accelerated drug discovery methods.
Cherkasov, a professor in the office of urologic sciences at the College of British Columbia, and Isayev, an assistant professor of chemistry at Carnegie Mellon College, be a part of NVIDIA AI Podcast host Noah Kravitz this 7 days to go over how GPUs can assist democratize drug discovery.
In addition, the friends deal with their inspiration and system for composing the paper, communicate about NVIDIA technologies that are transforming the role of AI in drug discovery, and give tips for adopting new strategies to exploration.
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