Nvidia enters genetic research with revolutionary artificial intelligence system

Technology giant and artificial intelligence (AI) chip maker Nvidia, together with its partners, has unveiled the largest AI system for biological research to date, focused on genetic research.

Nvidia enters genetic research with revolutionary artificial intelligence system

The model is available worldwide

Nvidia's blog post  states that the AI ​​model, known as Evo 2, provides insights into DNA, RNA, and proteins across species.

This model is now available to scientists around the world, seeking a deeper understanding of genetic research in all areas of life.

Innovative structure

Until now, Nvidia was known for its chip and game design, but the company's image has now changed dramatically. 

Recently, the company has been investing heavily in AI and is increasingly focusing on biological research using this advanced technology.

According to a recent blog post, the new AI model was built using the NVIDIA DGX Cloud platform, which is curated by the non-profit biomedical research organization Arc Institute and Stanford University (USA).

The Evo 2 model features an innovative architecture that allows processing of up to 1 million genetic sequences. 

This gives scientists a better understanding of how distant parts of an organism's genetic code are connected and what impact they have on cellular function, gene expression, and disease.

"This is a major advance in the field of generative genomics. By improving our understanding of these fundamental building blocks of life, we can advance solutions in healthcare and environmental sciences that are currently unimaginable," says Patrick Hsu, co-founder and principal investigator of the Arc Institute.

The model was trained using nearly 9 trillion nucleotides, making it applicable to a wide range of biomolecular studies. 

Evo 2 provides insights into DNA, RNA, and proteins, having been trained using a variety of species, including plants, animals, and bacteria.

This model can be applied to various scientific fields such as healthcare, agricultural biotechnology, and materials science.

Nvidia's diversification

Nvidia has recently diversified its focus away from gaming and mining chips. The company entered artificial intelligence last year, starting with the development of specialized computers for humanoid robots.

Accordingly, Nvidia has also acquired artificial intelligence infrastructure Run:ai to optimize its operations in the AI ​​sector, which may contribute to its current results.

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