Author(s): Dr. Mandar Karhade, MD. PhD.

Originally published on Towards AI.

Accelerating analysis of large amounts of biological data, such as DNA sequences, protein structures, and metabolic pathways, via LLM framework.

As scientists continue to probe the fundamentals of life, there is a growing need for new tools and technologies that can help them better understand the building blocks of living systems. One of the key areas of focus in this field is biomolecular data, which includes information about DNA, proteins, and other biological molecules. To help researchers work with this data more effectively, NVIDIA has introduced a new framework called BioNeMo, which is designed to accelerate the training and deployment of large biomolecular language models at a supercomputing scale.

BioNeMo is a framework that provides scientists with a way to train… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI