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Nvidia Unleashes Evo 2: The AI Powerhouse For Genetic Research

Nvidia, the U.S.-based AI chip giant, has unveiled Evo 2, the most advanced artificial intelligence system dedicated to biomolecular science. Built-in collaboration with Stanford University and the nonprofit Arc Institute, Evo 2 is set to redefine genetic research, accelerating breakthroughs in medicine and biotechnology.

AI Meets Genomics

Powered by Nvidia DGX Cloud on Amazon Web Services (AWS), Evo 2 is designed to decode the complexities of DNA, RNA, and proteins across a vast spectrum of species. With a dataset of nearly 9 trillion nucleotides—the fundamental units of DNA and RNA—this AI model is poised to revolutionize biological research. Its capabilities extend to predicting protein structures, identifying novel molecules for healthcare and industrial applications, and analyzing the effects of genetic mutations.

Evo 2 is now the largest publicly available AI model for genomic data, offering scientists an unprecedented tool for biological discovery. Researchers can leverage Nvidia’s NIM microservice to generate biological sequences and fine-tune the model using their proprietary datasets via the open-source Nvidia BioNeMo Framework.

Game-Changing Potential

“Evo 2 represents a major milestone for generative genomics,” said Patrick Hsu, cofounder of Arc Institute and assistant professor of bioengineering at UC Berkeley. “By deepening our understanding of life’s fundamental building blocks, we can unlock new possibilities in healthcare and environmental science that were once unimaginable.”

Brian Hie, assistant professor of chemical engineering at Stanford and faculty fellow at the Dieter Schwarz Foundation Stanford Data Science, echoed this sentiment: “With Evo 2, complex biological design becomes more accessible, allowing researchers to develop groundbreaking innovations in a fraction of the time.”

Market Reaction

Despite the breakthrough, Nvidia’s stock dipped 0.2% in after-hours trading on Wednesday, settling at $139 per share, with a market capitalization of $3.4 trillion. However, as AI-driven biotech advances continue to gain momentum, Nvidia’s role in shaping the future of medicine and genomics remains stronger than ever.

Webflow Strengthens Marketing Suite With Acquisition Of AI-Powered Vidoso

Strategic Acquisition For Enhanced Marketing

Webflow, a leading software platform for website building and hosting, has acquired AI-driven content-generation platform Vidoso to advance its suite of marketing offerings. The move signals Webflow’s strategic shift from being recognized solely as a website builder and CMS provider to emerging as a holistic, agentic marketing platform.

Integrating AI With Content Creation

Vidoso, founded in 2024, uses large language models to help organizations generate marketing materials such as images, presentations, video clips, blog posts and social media content. One of the platform’s features allows users to convert long-form content, including keynote presentations or panel discussions, into shorter formats such as video clips and blog posts. Following the acquisition, Vidoso’s four-person team will join Webflow, and the technology is expected to be integrated into the company’s broader content and marketing tools

Driving Operational Efficiency In A Competitive Market

Webflow has raised more than $330 million in funding and has previously expanded its marketing capabilities through acquisitions and partnerships. Earlier initiatives included the acquisition of personalization platform Intellimize and the launch of integrations with advertising platforms such as Google Ads. The company is operating in an increasingly competitive market as startups develop AI tools for marketing automation. Competitors in this space include companies such as Kana, Hightouch and Blueshift. Webflow CEO Linda Tong said the company aims to build a platform that connects brand management, demand generation, product marketing and content development within a single system.

Closing The Gap With Branded AI Content

Vidoso’s CEO, Sharad Verma, explained that earlier iterations of AI delivered generic content that lacked alignment with individual brand systems. “Frontier models are trained on the average of the internet, not on the specifics of your brand,” Verma stated, emphasizing how Vidoso’s platform addresses this shortfall by ensuring consistent, governed, and production-ready content that aligns with existing marketing workflows.

A Forward-Looking Vision

Webflow views the acquisition as part of a broader shift toward AI-assisted marketing tools that combine content creation with performance insights. According to Tong, integrating these capabilities into a single platform allows companies to create marketing assets while analyzing their performance and refining future campaigns.

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