Advances in virtual and augmented reality, spatial computing, and other technologies offer chances to work with data more ...

The spatial organization of chromatophore-muscle innervation by motoneurons enables the generation of chromatophore-shaped noise, virtual or composite chromatophores, and shape elements such as lines ...

Training artificial intelligence to enforce even seemingly straightforward rules—like balls and strikes in Major League ...

Abstract: Visual Question Answering systems target answering open-ended textual questions given input images. They are a testbed for learning high-level reasoning with a primary use in HCI, for ...

Rather than having distinct departments for blindness, paralysis and sensory disorders, scientists are developing a unified ...

Computer graphics and robotics have been converging for years. At SIGGRAPH 2026, that convergence takes center stage as robots learn, move, create, and interact through technologies originally ...

Backed by Wing 2 Wing Ventures, Illuminant Surgical’s $8.4M seed round accelerates millimeter-accurate clinical guidance. Read the full news.

Abstract: Obstacle detection problem is the most studied problem in computer vision. Methodologies of object detection generally work in a single modality, such as vision, Light Detection and Ranging ...

As the 2026 FIFA World Cup unfolds across North America, the world is focused on the players, coaches, and dramatic moments on the field.

A neural network image analysis method will help track the movement of microparticles in the Earth's atmosphere and space.

@article{Marchand05b, Author = {Marchand, E. and Spindler, F. and Chaumette, F.}, Title = {ViSP for visual servoing: a generic software platform with a wide class of robot control skills}, Journal = ...