Introductory speech
Arc and NVIDIA's advanced models aim to redefine the scale and scope of biomedical research.
The Arc Institute has partnered with NVIDIA to revolutionize computational biomedical research, bringing advanced machine learning tools and cutting-edge models to the forefront of scientific discovery.
The collaboration aims to push the boundaries of biomedical research by combining Arc's deep expertise in biology with NVIDIA's strength in computing and artificial intelligence.
"The convergence of biology and artificial intelligence holds exciting promise for changing the way we do science," said Silvana Konermann, co-founder, core fellow and executive director of the Arc Institute.
"Our collaboration with NVIDIA will pioneer new ways to explore and design living systems, accelerating insights into complex human diseases."
Decoding biology with generative AI
Generative AI is transforming biology in unprecedented ways, enabling scientists to model complex systems on an unprecedented scale.
Anthony Costa, Director of Digital Biology at NVIDIA, highlighted the impact: "Generative AI has revolutionized our ability to model complex biology digitally, providing researchers with a new tool to extend science through machine learning.
By combining researchers at the Arc Institute and AI experts at NVIDIA, we are working to turn massive scientific data sets into valuable scientific tools and insights.
This partnership builds on Arc's existing achievements, particularly the Evo model, a foundational model of biology that has demonstrated the ability to predict and design biological structures at the DNA, RNA, and protein levels.
Evo's groundbreaking capabilities were highlighted at SynBioBeta 2024, where Arc co-founder and core researcher Patrick Hsu discussed its transformative potential.
"Machine learning provides a general framework that can leverage data, computation, and scaling to learn complex patterns from disparate data that cannot be recognized by the human eye alone," Hsu explains.
Brian Hie, Evo Principal Investigator and Arc Innovation Fellow in Residence, will discuss the next phase of Evo and its applications this May at SynBioBeta 2025 in SAN Jose, California.
"By training these models using different biological data, we aim to discover emerging features similar to those found in language, video and robotics."
We enable researchers to leverage complex generative models that unlock biological designs at a scale previously unattainable by science, "Hie said.
Open source tools with global reach
The cornerstone of the collaboration is a commitment to open source development.
Arc's model will be integrated into NVIDIA's BioNeMo framework, a set of advanced tools for biomolecular research.
These models will also be accessed as NVIDIA NIM microservices, optimized for AI-driven biomolecular exploration.
With the NVIDIA DGX Cloud on AWS, Arc researchers have access to a powerful AI platform tailored for large-scale distributed training, enabling them to push the limits of biomedical AI.
"This partnership is a leap forward that enables researchers around the world to harness AI to tackle complex biomedical challenges," Konermann commented.
Later this year, Arc and NVIDIA will announce the first tangible results of this collaboration, demonstrating how their combined expertise can accelerate the future of computational biomedical research.
With the promise of advanced models and scalable AI tools, this collaboration marks a new era of scientific discovery, unlocking previously inaccessible insights.
- Do you know what are the NMN biosynthesis methods?
- How long does NMN work? Why can't I feel it?
- Anti-aging, resveratrol or NMN which effect is better?
- NMN, Seven Benefits for women
- Uncovering the secret of glutathione
- Why is glutathione so important in the body?
- How does NMN cope with cliff aging?
- From a few hundred to tens of thousands, why is the price gap of NMN so wide?
- Citicoline is a feeding station for the brain
- How does NMN improve sleep quality in the elderly?
