Benchmarking Nano Banana 2 Lite for Scientific Image Generation
A 240-image benchmark of four scientific image models shows Nano Banana 2 Lite is fastest, while GPT Image 2 still leads on raw figure quality.
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Explore tutorials, product updates, and insights on AI-powered research automation from the K-Dense team.
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AI Scientists Need Lab Escape Rooms, Not More Exams
The next AI scientist benchmark should be a lab escape room: a fresh hidden world, limited probes, real evidence, and no place for science theater to hide.
Benchmarking NVIDIA BioNeMo Agent Toolkit Skills for NIM microservices
A controlled benchmark of 10 NVIDIA BioNeMo Agent Toolkit skills for NIM microservices shows where skills win: routing, cost, scale, and weak-model reliability.
Reproduction, Not Generation, Is AI's Killer App for Science
AI is flooding science with claims no one can check. The quieter story: agents now reproduce most published findings — and that is the bigger deal.
Can an AI Agent Run Your Mass Spec Pipeline? Benchmarking the PyOpenMS Skill
A reproducible 250-run study of feature detection, adduct grouping, quantification, and identification, run by an AI agent with and without the pyOpenMS skill.
The Week Science Models Became Real
Fable 5 and GPT-Rosalind show frontier AI moving into scientific workflows. The next bottleneck is not intelligence, but evidence.
Beyond RDKit: Benchmarking the Rowan Agent Skill Against Experiment
A reproducible study of pKa, logD, tautomers, ADME, and docking run by an AI agent with the Rowan skill, measured against RDKit and experimental ground truth.
The Model Is No Longer the Bottleneck
Anthropic showed a general model can rival ChemDraw at NMR. The real story for scientists: the bottleneck has moved from the model to the workflow around it.
The AI Co-Scientist Is Here. The Bottleneck Is Verification.
AI agents are moving into real scientific workflows. The question for working scientists is not whether they are powerful, but whether they are verifiable.