The new @GoogleColab bridges the gap between local environments and the cloud, providing a zero-friction execution platform for developers and AI agents alike. The CLI Supports:
⚡️ Agent-driven Colab workflows
⚡️ Instant GPU/TPU provisioning
⚡️ Remote script execution
⚡️ Interactive runtime access (console/REPL)
Learn more in the blog: https://t.co/n8TOYStlrp
How do you verify the outputs of AI agents?
Can we do better than asking a model to "be more careful."
https://t.co/7sQjaxFxYo
By connecting it to the underlying evidence and forcing independent verification.
In a new ToolUniverse @ScientistTools blog post, @GaoShanghua shows how to turn Claude Code from a system that answers from memory into one that grounds claims in real scientific data.
For example:
❌ "What's the gnomAD frequency of BRCA1 R1699Q?"
A model can confidently guess.
✅ With ToolUniverse, Claude Code retrieves the value from the actual source and cites it.
And when a claim really matters, you can force verification:
/tooluniverse:cross-validate: checks a claim against 3+ independent sources and reports whether they agree
/tooluniverse:research: investigates a question across multiple databases, models, and literature sources
/tooluniverse:literature-sweep: builds a curated evidence review rather than returning a search dump
As AI agents move into science, the challenge is no longer only generating answers, it is establishing if and why those answers should be trusted
@ScientistTools@GaoShanghua@harvardmed@KempnerInst@HarvardDBMI@broadinstitute
🚨 DEADLINE EXTENDED TO 22 JUNE 2026!
🚨Submit your research for #InCoB2026 in Penang, Malaysia!
We’ve added two new full-paper tracks:\
🧬 Bioinformatics Advances
💻 Advances in Computer Science Applications & Research
Join us 14–16 Sept! 👇