
Eric Heiden
84 posts

Eric Heiden
@eric_heiden
Research in robotics and simulators @NVIDIA. Building Newton https://t.co/q7OoFm5id6.









Why would anyone need «neural physics»? Well, at least one problem it solves is the sim-to-real gap, and that’s what this paper is about NeRD is a neural simulation module that can predict future states of articulated rigid bodies, completely replacing time integration and solvers Initially, it’s pre-trained on classic simulation data, which is cool, but doesn’t add much value by itself The important part: it can be fine-tuned on real data to handle wear and tear, contact reality, and environmental changes, significantly improving dynamics accuracy compared to the analytical simulator The architecture is surprisingly simple, it’s basically a GPT-2 with a tiny history window and a robot-centric tokenization That design decision makes it fast too, faster than the analytical solution arxiv.org/pdf/2508.15755

Newton is now part of the Linux Foundation! 🤖Co-developed by Disney Research, Walt Disney Imagineering, @GoogleDeepMind & @nvidiarobotics, the open source GPU-accelerated physics engine helps robots learn faster, scale safely, and transfer skills to the real world. Learn more about Newton: hubs.la/Q03Lpt2S0







Btw... Warp just transitioned to an Apache 2.0 license! 👀 developer.nvidia.com/warp-python



With Warp 1.5.0 you now have preview access to new tile-based programming primitives in #Python. Deep dive ➡️ nvda.ws/41IM43M Accelerate GPU computing by seamlessly fusing GEMM and FFT ops reducing memory I/O and kernel-launch overhead for faster, more efficient apps.





