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39 K-Dense articles on Research — research automation, benchmarks, and case studies from the K-Dense team.
K-Bench 01 is our internal benchmark built from 178 real scientific tasks. Nine frontier models ran them end to end; only one clears the acceptability bar.
K-Dense and Litmus Science are connecting AI-powered research with on-demand lab execution, helping scientists move from questions to evidence faster.
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.
A 20-task benchmark found K-Dense Web stronger at producing auditable research bundles, while Claude Science held a narrow scientific-quality lead.
A 35-case K-Dense benchmark of Google's Omni Flash shows stunning scientific video quality, but unreliable text, physics, and factual correctness.
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.
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.
A controlled benchmark of 10 NVIDIA BioNeMo Agent Toolkit skills for NIM microservices shows where skills win: routing, cost, scale, and weak-model reliability.
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.
A reproducible 250-run study of feature detection, adduct grouping, quantification, and identification, run by an AI agent with and without the pyOpenMS skill.
Fable 5 and GPT-Rosalind show frontier AI moving into scientific workflows. The next bottleneck is not intelligence, but evidence.
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.
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.
AI agents are moving into real scientific workflows. The question for working scientists is not whether they are powerful, but whether they are verifiable.
Scientific Agents: 503 open-source AGENTS.md profiles that teach any AI agent to reason like a senior practitioner in a specific science or engineering field.
One Agent Skill gives a research agent 78 public scientific and economic databases. Here is the design argument, with real token and routing benchmarks.
Our new open source methodology makes AI research agents pre-register hypotheses, work reproducibly, and verify before they claim. Pre-registration over TDD.
Exa is now integrated into K-Dense's Scientific Agent Skills library, bringing neural web search and URL extraction to AI-driven scientific research.
K-Dense Web analyzed global RAS mutation prevalence, drug eligibility, statistics, and the clinical-trial landscape in pancreatic cancer (PDAC).
A practical look at how K-Dense Web can help researchers synthesize hantavirus literature, surveillance, ecology, and public health evidence.
K-Dense Web analyzed 116 declassified UAP files in one prompt, producing a 60-page report separating aerial activity from extraterrestrial evidence.
K-Dense Web ROI audit across 67 public use cases: $3.08M of analyst work delivered by K-Dense Web plus a human for $5,670 in credits.
Why we put the hyphen in front of every product we build. The case, from Benchling to AlphaFold to Polanyi, for keeping the human scientist front and center.
K-Dense is evaluating Nemotron 3 Nano Omni — NVIDIA's new open omni-modal model that unifies vision, audio, and language for — agentic scientific workflows.
Pantheon is a free K-Dense app that sends one research question to 80 AI personas, streaming diverse perspectives with cited sources and consensus.
mimeo distills how great minds like Jobs, Buffett, and Wittgenstein reason into a SKILL.md or AGENTS.md your agent can load, with 80+ experts ready today.
Skills are executable research code with a personality. A practical guide to prompt-injection risks, poisoned SKILL.md files, auditing, and version pinning.
Pair NVIDIA OpenShell's policy-governed runtime with Scientific Agent Skills to run autonomous research agents that are highly capable and genuinely safe.
K-Dense Web scored 45/50 on BixBench-Verified-50, a cleaned biology-agent benchmark designed to separate real model mistakes from benchmark noise.
K-Dense Web vs OpenAI Prism: Prism helps you write papers, while K-Dense Web does the research. See why the distinction matters and how to use them together.
How K-Dense Web autonomously processed the COCONUT database to identify 50 prioritized antimicrobial candidates using unsupervised machine learning.
K-Dense Web autonomously analyzed 10,000 ICD failure reports from the FDA MAUDE database using NLP and statistics, revealing manufacturer-specific patterns.
Agent Skills close the gap between raw AI intelligence and domain expertise, adding 140 open-source capabilities to AI scientific research workflows.
A detailed comparison of K-Dense Web and ChatGPT showing why autonomous task execution beats conversational AI for any complex work.
K-Dense Web is a multi-agent system orchestrating Opus 4.5, Gemini 3 Pro, and Claude Code on a high-compute backend for complex end-to-end workflows.
K-Dense Web vs Scientific Agent Skills: our open-source skills give researchers AI tools; K-Dense Web adds more skills, agents, cloud compute, and zero setup.
Agentic Data Scientist is a free, open-source multi-agent framework that plans, runs, and validates full data science workflows autonomously.
Claude Scientific Writer is a free, open-source tool combining deep research with publication-ready papers, grants, posters, and clinical reports.
Learn how K-Dense Web transforms complex research tasks into automated workflows, delivering publication-ready results across science, finance, and engineering.
