Insights & Updates

K-Dense and Litmus Science are connecting AI-powered research with on-demand lab execution, helping scientists move from questions to evidence faster.

By Aubrey Brueckner

Twenty questions from a live session with a university multiomics center on what K-Dense does, where AI for science helps today, and where it still falls short.

By Aubrey Brueckner

A 20-task benchmark found K-Dense Web stronger at producing auditable research bundles, while Claude Science held a narrow scientific-quality lead.

By Timothy Kassis, PhD

A 35-case K-Dense benchmark of Google's Omni Flash shows stunning scientific video quality, but unreliable text, physics, and factual correctness.

By Timothy Kassis, PhD

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.

By Timothy Kassis, PhD

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.

By Timothy Kassis, PhD

A controlled benchmark of 10 NVIDIA BioNeMo Agent Toolkit skills for NIM microservices shows where skills win: routing, cost, scale, and weak-model reliability.

By Timothy Kassis, PhD

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.

By Timothy Kassis, PhD

A reproducible 250-run study of feature detection, adduct grouping, quantification, and identification, run by an AI agent with and without the pyOpenMS skill.

By Timothy Kassis, PhD