Explore how generative AI tools are edging toward Nobel-worthy discoveries by integrating advanced models into biological research. Here I decode landmark breakthroughs, the tech behind them, and what’s next for AI-powered science.
Generative AI and the Path to Nobel Science Read More »
Here the blog introduces tensor databases like Vespa.ai, built to manage high-dimensional, multimodal biomedical data. Learn how they merge lexical, semantic, and tensor queries to drive real-time AI-powered search at scale
Inside Vespa.ai: Real-Time Search for Biomedical Data Read More »
Blog explores the wider impact of AI embeddings beyond text—covering proteins, compounds, images, and clinical data. Understand how embeddings unify diverse datasets to unlock rich insights across R&D workflows
AI Embeddings Beyond Text: Unifying Life Sciences Data Read More »
Blog argues for smarter search engines in life sciences—beyond simple RAG/chatbots. She explains how tensor-powered systems deliver precision by blending semantic relevance, trial metadata, and real-world context to support critical scientific decisions.
Smarter Search for Life Sciences, Beyond Chatbots Read More »
Blog highlights LandingAI’s large vision models and their transformative role in life sciences R&D—bridging imaging, AI, and research. Discover how visual embeddings are accelerating processes from phenotypic screening to diagnostic insights, offering a new frontier in multimodal scientific discover
AI Vision Models Are Reshaping Life Sciences R&D Read More »
In this blog I partner with Terray Therapeutics to illustrate how they are harnessing cutting‑edge diffusion-based generative AI to revolutionize drug discovery. From molecule design to real-time querying with Vespa.ai, the post explores practical challenges, AI adoption in life sciences, and how advanced platforms accelerate R&D impact
Revolutionizing Drug Discovery with Generative AI Read More »