Abstract: Estimating the camera’s pose given images from a single camera is a traditional task in mobile robots and autonomous vehicles. This problem is called monocular visual odometry and often ...
RynnVLA-002 is an autoregressive action world model that unifies action and image understanding and generation. RynnVLA-002 intergrates Vision-Language-Action (VLA) model (action model) and world ...
Abstract: The temperature change is expected to induce nonlinear characteristics in the annual fluctuation of permafrost. The interferometric synthetic aperture radar (InSAR) technique has ...
Ant International currently deploys the Falcon TST AI Model to forecast cashflow and FX exposure with more than 90% accuracy Ant International, a leading global digital payment, digitisation, and ...
The U.S. power sector is facing mounting strain as demand for transformers outpaces supply, according to a new analysis from Wood Mackenzie. The report projects that by 2025, supply shortages could ...
Accurate short-to-subseasonal streamflow forecasts are becoming crucial for effective water management in an increasingly variable climate. However, streamflow forecast remains challenging over ...
Python has been the language of data science since before machine learning was trendy, and now you can use it for building AI agents, too. Get the scoop on the new Google Agent Development Kit and ...
Following its announcement and release back in January alongside the RTX 50 series graphics cards, DLSS 4’s Transformer model has been released out of beta. The 310.3.0 SDK is now available to all ...
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