Drug Discovery Accelerated by Transformer Neural Networks

Get deep insights into the crucial role of GPU-powered transformer AI models for accelerating pharmaceutical innovation and designing new therapies.

DOWNLOAD NOW

Disrupting Drug Development with Evolutionary AI and HPC

Get analyst insights on the importance of GPU-powered transformer neural networks for accelerating drug discovery and development. From top industry challenges and use cases to applications for fighting COVID-19, this IDC Perspective highlights everything you need to know about the growing importance of neural networks in drug discovery.

Training Biomedical NLP Models

Leveraging real-world data to build clinical language models is enabling the development of precision medicine strategies, the prediction of health outcomes, and assisting in patient recruitment.

AI-Powered Protein Structure Prediction

Understanding the 3D form of a protein is very complex, challenging, expensive, and time-consuming. Machine learning is enabling rapid, accurate prediction of protein structures.

HPC to Hyperscale Compound Screening

Transformer-enabled supercomputing is replacing computationally-intensive physics-based approaches to evaluate billions of compounds in minutes.

Accelerate COVID-19 research for vaccinations and treatments.

Accelerating COVID-19 Research

From genome analysis to cryo-EM and advanced molecular simulations, GPU-powered solutions are accelerating discovery of vaccines and therapies for COVID-19.

DOWNLOAD NOW

Section

Section

First Name

Last Name

Business Email Address

Organization/University Name

Industry

Job Title

Location

Preferred Language

State/Province

Send me the latest enterprise news, announcements, and more from NVIDIA. I can unsubscribe at any time.

I agree to the collection and processing of the above information by NVIDIA Corporation for the purposes of research and event organization, and I have read and agree to <a href="https://www.nvidia.com/en-us/about-nvidia/privacy-policy/?deeplink=visiting-our-website" target="_blank">NVIDIA Privacy Policy</a>.

I agree that the above information will be transferred to NVIDIA Corporation in the United States and stored in a manner consistent with <a href="https://www.nvidia.com/en-us/about-nvidia/privacy-policy/?deeplink=visiting-our-website" target="_blank">NVIDIA Privacy Policy</a> due to necessities for research, event organization and corresponding NVIDIA internal management and system operation need. You may contact us by sending an email to <a href="mailto:privacy@nvidia.com">privacy@nvidia.com</a> to resolve related problems.