← Back to timeline
NVDAKeynote2026-08-10
A researcher reports early testing results from fine-tuning a robot foundation model on suturing tasks.
Loading moment…
As said in this video · NVIDIA · GTC SJ 2026: Physical AI for Healthcare Robotics - Simulation-First Design & Accelerated Development
“in this initial you know few weeks of testing uh we showed that we can outperform the state-of-the-art in suturing with this crude age model. Um and what is also super exciting that it does require a lot less uh suture data to get proficient. So on only 33% of the data set we already achieve uh really high performance.”
Key terms
- fine-tune
- — Further training of an already pre-trained model on a narrower, task-specific data set.
- state-of-the-art
- — The best previously published performance on a given task, used as a comparison benchmark.
Educational summary of a public statement. Not investment advice.