Science & the Artificial Scientist

We graded ten promises made about AI in engineering against the record — deployed systems, randomised trials, benchmarks, and the published disputes around them.

Agentic science studies how governed AI systems turn knowledge into reliable action through workflows, coordination, authority, and safety under real-world constraints.

Europe should copy Genesis’s playbook: a mission-led AI-for-science platform uniting compute, data, models and autonomous labs—backed by big funding, mandates, and deployment pull.

Vibe Science turns discovery into an AI-native process: autonomous hypothesis generation, simulation, and integration that collapses scientific time and expands what humanity can know.

Eight epistemic fractures—hidden in observation, inference, and method—undermine modern science. This article exposes them and calls for a return to philosophical clarity.

Logic shapes how science reasons from data to truth. This article exposes 12 core logical fallacies corrupting inference—and shows why science must rethink how it thinks.

Twelve deep failures haunt science—from cognitive limits to systemic bias—each distorting the pursuit of truth and stalling humanity’s grand epistemic ascent.

Science DAOs turn research into tokenized, community-governed ventures—funding, owning, and scaling science through decentralized, composable, and transparent protocols.

Mario Krenn’s work pioneers artificial scientists that generate ideas, design experiments, and explain theories—advancing toward autonomous, interpretable scientific understanding.

Decentralized science reboots research with transparency, reputation, and open funding—fixing systemic flaws and unlocking global, trustless knowledge creation.

DeSci reinvents science as modular, open, and programmable—shifting trust from prestige to proof, and turning research into a composable, collaborative protocol stack.

DeSci is rebooting science with open funding, verifiable research, and AI-native tools—turning knowledge into a transparent, collaborative, and decentralized ecosystem.

AI is reshaping science, generating knowledge beyond human comprehension, automating discovery, decentralizing expertise, and redefining who controls and validates scientific truth.

AI is transforming science by overcoming bottlenecks in knowledge, data, experimentation, modeling, and solution discovery, enabling breakthroughs beyond human intuition.

Literature-Based Discovery (LBD) uncovers hidden knowledge by linking disparate fields, enabling breakthroughs in medicine, AI, climate science, and beyond through interdisciplinary synthesis.

Discover how science can be perceived as universal principles connecting biology, physics, chemistry, and engineering. Explore system dynamics, stability, adaptation, and more in this concise guide.

AI tech like GNNs, GPT, and Bayesian Networks are revolutionizing science by enhancing data analysis, improving prediction accuracy, and enabling robust, efficient research across diverse fields.