AI·Upstart PhD founder of Eaglewing Zhiwei completes third funding round in three months for a bio-inspired flapping-wing robot that learns to understand and drive fluid dynamics via self-developed simulation engine.
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9 results for “simulation”
AI·AI is tested in real disaster simulations like fires, evacuations, and crowds to assess decision-making, collaboration, and survival ability rather than human-like appearance.
AI·ARDY hybrid autoregressive diffusion model generates interactive real-time 3D human motions for animation and humanoid robotics.
AI·A sparse and truncated state-vector simulator for peaked quantum circuits predicts the most probable output bit string using only nonzero amplitudes with vectorized operations and optional GPU acceleration.
Generalist robot manipulation policies have advanced rapidly, yet existing benchmarks remain limited in systematically evaluating their capabilities. Many rely on simple, short-horizon, or skill-narrow tasks with limited capability coverage, and are often conducted only in simulation or only in the real world. Simulation enables scalable feedback but misses physical deployment challenges, while real-world evaluation is costly, time-consuming, and difficult to reproduce. We introduce RoboDojo, a…
Humans can navigate an unfamiliar city and gradually form a coherent spatial mental map spanning tens of square kilometers. Can AI build spatial representations at a comparable scale? Although recent foundation models have advanced scene reconstruction and embodied intelligence, scaling to entire cities remains an open challenge, primarily due to the lack of city-scale data. To bridge the gap, we introduce WildCity, a real-world multimodal dataset collected by autonomous fleets traversing compl…
OpenAI introduces Deployment Simulation, a method to predict AI model behavior before deployment using real conversation data to improve safety and evaluation accuracy.
Discover how astrophysicist Chi-kwan Chan uses Codex to build black hole simulations, helping scientists study extreme physics and test Einstein’s theory of general relativity.
Hi everyone, I recently finished my Ph.D. thesis on Differentiable Ray Tracing for Radio Propagation Modeling. Instead of just compiling my published papers, I tried to write it as an accessible, self-contained textbook for anyone interested in the intersection of radio propagation simulation, autodiff, and ML. Permanent handle: https://hdl.handle.net/2078.5/278727 Repo with TeX source files Whil…