The secret to true AGI will not be a single omnipotent model... It'll be a series of well-defined ontologies for specific problem spaces with many AI models + code to strike the right balance of intuition + logical guardrails for agentic reasoning, planning and decision-making

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🌿✨Unlock the future of plant metabolites! Discover how RetroPath2.0 and more are revolutionizing alkaloid production for pharmaceutical, cosmetics, and food! 🌱💚 Paper: lnkd.in/gQVu6TYK Authors: Nilay Yönet, Selcen Ari Yuka, Musa Türker, Alper Yilmaz #AI #RetroPath2.0

Explore foldtuning! Caltech scientists use AI to craft innovative proteins, revolutionizing health and catalysis! 🌟🧬 Paper: lnkd.in/ge-Y93yU Authors: Arjuna M. Subramanian, Zachary A. Martinez, Alec L. Lourenc, Shichen Liu, Matt Thomson #Foldtuning #AI #ProteinDesign

BATCHIE uses AI to find powerful drug combos faster against cancer! Paper: lnkd.in/gGTsXQ9f Authors: Christopher Tosh, Mauricio Tec, Jessica B. White, Jeffrey F. Quinn, Glorymar Ibanez Sanchez, Paul Calder, Andrew L. Kung, Filemon S. Dela Cruz, Wesley Tansey #AI #BATCHIE

🌟 Revolutionizing Chemistry! 🌟 AI transforms retrosynthesis in materials chemistry, automating complex macromolecule synthesis! 🚀💡 Paper: lnkd.in/gSzzQR8w Authors: Qinyu Ma, Yuhao Zhou, Jianfeng Li #LLM #Retrosynthesis #ChemicalSynthesis #Cheminformatics #AI #ML

We are looking forward to attending #SCOPE Summit 2025 in Orlando! Meet our team Boltzmann Labs or request a meeting with [email protected] to learn about our exciting Clinical Trial suite in advancing research. #SCOPE2025 #Innovation #Networking #FutureReady #LetsConnect

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🏥 AI-Powered Site Selection for Clinical Trials! ✅ Faster enrollment – Target high-potential locations ✅ Data-driven decisions – Leverage trial insights ✅ Fewer delays – Optimize site recommendations Connect at #SCOPE Summit! 📩 [email protected] #AIinClinicalTrials

Join Bayes Labs’ 2nd Generative AI Cohort! If you’re looking to transition into Generative AI, this is your chance to gain hands-on experience with LLMs, agentic AI, and cutting-edge frameworks like LangChain and Crew AI. Register soon at- shorturl.at/ODOh8

🔍Site Selection in Clinical Trials: The Key to Successful Medical Innovation 🚀 📰Read our blog on choosing the right trial site selection which is crucial to their success. #scope2025 #ClinicalTrials #SiteSelection boltzmann.co/post/IfwBKxn64…

🚀 Our Generative AI Cohort now starts on Feb 17, 2025! 🔥 Learn Python, NLP, LLMs, LangChain & more ✅ Free to join | 📜 Cert: ₹499 | 👥 100 spots only 🗓️ Apply by Feb 12! Spots filling fast! Register now 👉 shorturl.at/ODOh8

LLM-AutoDiff: Smarter Prompt Optimization Manual tuning is slow. LLM-AutoDiff uses gradient-based Automatic Prompt Engineering (APE) for better results. Fixes “lost-in-the-middle” issues Cuts cost & boosts accuracy Read more: lnkd.in/dwa6NDSk #AI #LLM #ML

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"Unlock new ideas and be part of thought-provoking conversations , Join us on at DSU kanakpura as visionary speaker Ranjit Kumar , CTO of Machine Hack shares insights on advancements of agentic AI . Don't miss this opportunity to expand your mind " OPEN ONLY FOR DSU STUDENTS

Everyone recommends reading research papers, but few talk about how to do it effectively. Like any skill, it gets easier with time, but starting out can be daunting. It helps to know that the struggles you face are common, and that there are ways to overcome them. I wrote about

💡Research Idea Generation: Unlocking Innovation with AI🔎Great ideas don’t just happen, from product design to scientific research, AI is reshaping the way we innovate. 🌟AI-Driven Insights 🌟Enhanced Creativity 🌟Faster Innovation Register now: lnkd.in/gFBPkj-A #ai #ml

✨AI-Powered Workflow Generation: Automate,Optimize,Innovate! Boltzmann Agents can now generate, refine, and automate workflows—turning complex operations into seamless, self-optimizing systems Register now: zoom.us/meeting/regist… #WorkflowAutomation #AIAgents #AgenticWorkflows

There is only one significant test for candidates: Are they generating new knowledge? If not, you are hiring a robot.

** a vision for the future AI native workflow for drug discovery R&D** scientist assesses emerging targets in a particular field of cancer, with assist of literature and competitive intel natural language co-pilot uses expertise to decide target X is interesting to try to