Multimodal sensor calibration is critical for achieving sensor fusion for robotics, autonomous vehicles, mapping, and other perception-driven applications….
Multimodal sensor calibration is critical for achieving sensor fusion for robotics, autonomous vehicles, mapping, and other perception-driven applications. Traditional calibration methods, which rely on structured environments with checkerboards or targets, are complex, expensive, time-consuming, and don’t scale. An automatic sensor calibration solution that simplifies the calibration…

Today, IBM released the third generation of IBM Granite, a collection of open language models and complementary tools. Prior generations of Granite focused on…
New research from the University of Washington is refining AI weather models using deep learning for more accurate predictions and longer-term forecasts. The…
Researchers at UCLA have developed a new AI model that can expertly analyze 3D medical images of diseases in a fraction of the time it would otherwise take a…