Lambda

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Lambda is sponsoring two workshops at CoRL 2026 in Austin and co-organizing them with NVIDIA. We’re also presenting I3L, a workshop paper with Li Fei-Fei’s lab at Stanford.

I3L studies whole-body mobile manipulation through iterative, interactive imitation learning. On JoyLo+, the robot can hand control to a person through touch. The authors tested the approach on three robot embodiments and eight tasks. They report a 68.3 point gain in average autonomous success over the base policies, at least 90% success on every task, and a 72% reduction in average takeover time.

Both workshops are Nov 12. The real-robot-learning workshop runs 8:30 a.m. to 12:30 p.m. CST in room 212. G2A runs 2 to 6 p.m. CST in room 208.

Workshop and paper links are in the reply.

Lambda has been the Superintelligence Cloud since July 2025. Our customers train and serve the models that push AI forward. We give them the compute to scale, from a single GPU to AI campuses with tens of thousands of GPUs.

Starting today, you’ll find us at lambda(.)com. New address. Same path to superintelligence.

Read more: lambda.com/blog/lambda-ai…

.@jandom_random of @open_fold and @jianwen_xie of Lambda took the main stage at the AI Drug Discovery & Development Summit (AIDDD) in Boston today. Their talk covered how open-source model training can speed up drug discovery research.

We’re at the AI Drug Discovery Development Summit in Boston, Oct 27–29. Come find us at booth #8.

On Oct 28 at 9:30 a.m. ET, @jianwen_xie and @jandom_random of @open_fold take the main stage to talk about open-source model training for drug discovery.

First up, fine-tuning OpenFold3 and training it on synthetic data. Then a look at how Lambda’s infrastructure speeds up that fine-tuning, with a deep dive into TurboPairFormer, a fast, stable GPU kernel built for OpenFold3 training.