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Using machine learning to enable healthcare for low-resource settings
Turn demonstrated physical skills into understandable steps and adaptable guidance, helping a learner connect what they observe with what they need to do.
A debugging copilot that triages compiler errors, gathers references, and proposes focused code changes.
Create playable stories where characters observe, believe, and know different things, and players discover how those differences shape events.
Bimanual In-Context learning with two Lerobot arms
Discover executable physical models from observations, compare competing explanations, and choose informative experiments to test what the world does.
Expose consequential ambiguities between speakers before fluent translation hides them, then help both people clarify and reconcile their intended meaning.
Co-invent a transparent language with an AI, shape its vocabulary and grammar, then test whether a newcomer can learn and use what you created.
Turn a suspected scientific machine-learning shortcut into executable negative controls that reveal what a model learned and what it merely exploited.
An expressive virtual robot that guides older adults through a voice-based geriatric assessment and prepares a traceable draft for clinician review.
Never lose the thread
Turn mathematical assumptions into editable play controls, explore counterexample levels, and discover exactly why a conclusion stops holding.
Makes web-app bugs the app's own tests miss and added checks catch. Tavily finds sources, Nemotron drafts its spec, and Token Factory models race to build it on a Nebius VM.
ReasonAI is an AI-native engineering workspace to discover ideas, design and review architectures, collaborate in real time, and learn DSA visually. Powered by NVIDIA Nemotron on Nebius.
Connect existing AI agents in shared Circles, coordinate decisions, and keep people in control of commitments.
Room for Both is a trustworthy personal AI planner that builds a realistic week around your work and personal boundaries, then safely adjusts the plan when life changes.
Redwood helps enterprises turn complex requirements into apps using spreadsheet-based planning, AI suggestions and human approval, with deterministic generation, traceability and safe migrations.
Forward any suspicious email and get a verdict with the evidence attached, in seconds. If you want the punchier thesis version instead: Evidence first, then the AI.
Watch an AI navigate your website blind, find accessibility blockers and suggest fixes.
And autonomous IoT/rover that monitors plants in agriculture as well as soil fertility and irrigation
A local-first coding agent in Rust: Nemotron proposes, you approve every diff, a local model screens each change, and tests run in an NVIDIA OpenShell sandbox.
Open-source AI platform using NVIDIA Nimotron to simplify development, enhance collaboration, and support rapid prototyping for hackathons.
This agent checks code for any errors by using test cases, it can also pull issues and verify whether the code is indeed broken, error cant be reproduced or if there is no issue with the code.
Coordinate shared attention windows and route requests to qualified volunteers through explicit agreements about interruptions, availability, and response.
