Published
Published in Nature Machine Intelligence, a panel of experts put forth a vision for the future of biopharma centered around efficient collaboration between #machinelearning and #drugdiscovery powered by GPUs.
Read the article here: https://www.nature.com/articles/s42256-022-00463-x
Read the article here: https://www.nature.com/articles/s42256-022-00463-x
- Category
- NVIDIA
- Tags
- NVIDIA, healthcare, drug discovery
Be the first to comment
Up Next
Autoplay
-
02:24
Accelerate AI-Powered Drug Discovery With NVIDIA BioNeMo
-
02:20
AstraZeneca: Accelerating Drug Discovery with Machine Learning and AI on Cambridge-1
-
02:19
National University of Singapore Taps GPUs to Win ImageNet Deep Learning Challenge
-
01:14
NVIDIA and Schrödinger Partner to Accelerate Drug Discovery Worldwide
-
08:20
GTC 2015: GPUs Fuel the Rise of Deep Learning (part 1)
-
1:08:46
NVIDIA Deep Learning Course: Class #1 – Introduction to Deep Learning
-
02:36
Art of Deep Learning: U.C. Berkeley Researchers Integrate NVIDIA Deep Learning Software into Caffe
-
02:36
NVIDIA and Intelligent Voice Speech to Text Recognition Using Deep Learning and GPUs
-
01:31
MILABOT, a Deep Learning Chatbot by the Montreal Institute for Learning Algorithms
-
01:39
Harnessing the Scale of Cloud to Accelerate Drug Discovery
-
01:31
Interactive Visualization of High-Resolution, Global-Scale Climate Data in the Cloud
-
02:20
Generating Potential Accident Scenarios for Autonomous Vehicles Using AI - NVIDIA DRIVE Labs Ep. 27
-
00:34
NVIDIA GTC 2023 Keynote Teaser
-
02:13
Experience Hospitality Design on CloudXR with AWS
-
1:17:52
GTC 2023 Keynote with NVIDIA CEO Jensen Huang
-
02:48
BMW Group Celebrates Opening the World's First Virtual Factory in NVIDIA Omniverse
-
02:31
NVIDIA Omniverse Foundational Technology Montage I GTC Spring 2023 Edition
-
02:03
Amazon Robotics Deploys First Fully Autonomous Robot With NVIDIA Isaac Sim
-
02:04
Easily Scale and Unify Industrial Digitalization With NVIDIA Omniverse Cloud
-
03:14
I AM AI | NVIDIA GTC 2023 | Official Keynote Intro