Rohan Gorantla (he/him)

Excited to share our perspective in @CellCellPress, where we discuss “AI scientists” as collaborative AI agents designed to empower biomedical research cell.com/cell/fulltext/… While the concept of an “AI scientist” is aspirational, advances in agent-based AI are paving the way for AI agents as conversable systems with reflective and reasoning abilities that coordinate LLMs, ML tools, experimental platforms, or combinations thereof. We outline initial autonomy levels for agents based on proficiency in hypothesis generation, experimental design, execution, and reasoning: Level 0: No AI agents Level 1: AI agents as research assistants Level 2: AI agents as collaborators Level 3: AI agents as scientists These “AI scientists” could enhance discovery workflows by introducing skepticism and reasoning. Our vision is to amplify human creativity, enabling AI to handle large datasets, navigate complex hypotheses, and perform repetitive tasks faster. Many ethical considerations arise with biomedical AI agents. We discuss issues of governance, robustness, evaluation protocols, dataset generation, and associated risks. Imagine AI agents that help: 🔬 Design discovery workflows 🌱 Simulate virtual cells 🎛️ Control phenotypes programmatically ⚙️ Design cellular circuits 💊 Optimize therapeutic discovery and development Many thanks to fantastic group of co-authors @GaoShanghua, @AdaFang_ @YepHuang, @valegiunca, @ayushnoori, @schwarzjn_, @YEktefaie, @kondic_jovana @HarvardDBMI @harvardmed @KempnerInst @harvard_data @broadinstitute

AMD first 1B LLM model is released!!! proud of the team. We released everything training script, dataset detail, weights, score card and benchmark results. #AMD #LLM #ML #AI #HW #MI300X amd.com/en/developer/r…

@michaelriver, @ppxasjsm, and I have compiled some of our thoughts on the importance of training undergraduate chemists in digital skills for @NatureChemistry: rdcu.be/dRMcA