Get started with Octopus, an open access platform where researchers can read, review and publish findings at all stages of the scientific process.
Octosphere, an experiment in decentralised science with ATProto – Andreas Varotsis
Bridging Octopus and the Atmosphere with lots of vibes
Earliest octopuses were giant top predators in Cretaceous oceans
Top predators drive changes in ecosystem structure. For the last ~370 million years, large-sized vertebrates have dominated the apex of the marine food chain, while invertebrates have served as smaller prey. Here we describe invertebrate top predators ...
The Seamstress Who Solved the Ancient Mystery of the Argonaut, Pioneered the Aquarium, and Laid the Groundwork for the Study of Octopus Intelligence
“I armed myself with patience and courage, and only after several months managed to dissolve my doubts and see my research crowned with happy confirmation.”
The Octopus: An Alien Among Us
Self-replicating, bacterial life first appeared on Earth about 4 billion years ago. For most of Earth’s history, life remained at the single-celled level, and nothing like a nervous system existed …
Home - Octosphere
Octosphere bridges the gap between academic publishing and the social web. It automatically syncs your research publications from Octopus to the AT Protocol (the atmosphere) — an open, decentralized network for social apps like Bluesky.
Researchfish | Illuminate your research impact | Elsevier
Researchfish is a platform designed to help funders, charities, universities, and research centers track research outcomes and measure the impact.
About Coral | Coral
We believe that AI will help create a better world, but only when we explore, learn, and build it together.
Agentis — coming soon — BioKEA
An AI-first scientific journal built on the AT Protocol. Fast, verifiable peer review and publications as interactive StoryMaps.
Open Science 2.0: Building Understanding in an AI-Mediated World - The Scholarly Kitchen
Open Science 2.0 must focus not only on access, but also on trust, interpretation, learning, and effective communication. The challenge facing the scholarly publishing ecosystem is ensuring that what is open is also trustworthy, understandable, and genuinely useful.
OpenAccess.ai — Rigorous Open Access Publishing
$20 to submit, free to read. AI peer review. Open to human and machine authors. All articles CC-BY 4.0.
From novices to co-pilots: Fixing the limits on scientific knowledge production by accessing or building expertise
As part of the Digital Library's transition to Open Access, new features for researchers are available in the Premium Edition. Click here to learn more.
#bioinformatics #computationalbiology #aiforscience #singlecell #spatialtranscriptomics #opensource #codex #claudecode #mcp #agenticai | Herry Z.
BioNexus: A Scientific Reliability Layer for Agentic Biology As coding agents such as OpenAI Codex, Claude Code, and Cursor become increasingly capable of running bioinformatics workflows, a new problem emerges: Knowing how to run an analysis does not mean knowing when that analysis is scientifically valid. BioNexus is an open-source project exploring a reliability layer for biological coding agents rather than another standalone AI scientist. Its current architecture focuses on: Machine-readable Capability Contracts — define input semantics, scientific preconditions, canonical backends, refusal conditions, and evidence requirements. EvidenceCard 2.1 — separates execution state from scientific evidence and grades conclusions as PRELIMINARY, SUPPORTED, ROBUST, REPLICATED, FRAGILE, or ABSTAIN. Scientific Intent & Invariant Routing — detects invalid analyses such as pseudoreplication, incompatible data representations, or missing backends. BioNexus Eval — evaluates routing, unsafe claims, refusal behavior, and scientific outcomes. RunBundle Artifact Contract — packages inputs, parameters, results, provenance, environment, and evidence into reproducible machine-readable runs. The long-term goal is simple: Make scientific reliability a first-class infrastructure layer for agentic biology. BioNexus is still evolving, and I am actively looking for contributors in bioinformatics, single-cell/spatial omics, scientific benchmarking, MCP, reproducibility, and AI coding agents. PRs, issues, benchmark datasets, scientific critiques, and failure cases are especially welcome. GitHub: HERRY423/BioNexus #Bioinformatics #ComputationalBiology #AIForScience #SingleCell #SpatialTranscriptomics #OpenSource #Codex #ClaudeCode #MCP #AgenticAI
Lightcone Research
An open ecosystem for inspectable, composable, and referenceable scientific research in the age of agentic AI.
Ukraine Orders 8,000 Octopus Interceptor Drones to Counter Shahed Attacks | Defense Express
Ukraine is scaling production of Octopus interceptor drones, a combat-proven system designed to destroy Shahed-type aerial threats
Meet Rosalind Workbench: Empowering every scientist to be their own research team | OpenAI Developers
How guided tasks, scientific viewers, and sequencing analysis help researchers follow a question from data to evidence.
How to build an AI scientist: first peer-reviewed paper spills the secrets
AI Scientist, an autonomous research tool, first released in 2024, has now undergone peer review, highlighting its strengths and limitations.
