Finding correspondences is a fundamental and extensively researched problem in computer vision and graphics. In this work, we examine the underexplored task of estimating segmentation-to-segmentation ...

[Mellow_Labs] picked up a few LiDAR matrix sensors and found them very exciting. While a normal time-of-flight sensor can accurately determine a range, the matrix sensor is like an array of 64 sensors ...

A team led by Northwestern University and Shirley Ryan AbilityLab scientists have developed a new technology that can eavesdrop on the hidden electrical dialogues unfolding inside miniature, lab-grown ...

NVIDIA releases detailed cuTile Python tutorial for Blackwell GPUs, demonstrating matrix multiplication achieving over 90% of cuBLAS performance with simplified code. NVIDIA has published a ...

Abstract: In LiDAR-based 3D object detection, severe occlusion often leads to incomplete object shape in point cloud scene. It is a critical challenge as it will significantly degrade detection ...

Launching large, rigid satellite dishes into orbit is an expensive and energy-hungry task. But what if those massive structures could start out flat—and then unfold or “grow” into their curved shapes ...

Because it's costly and cumbersome to transport large structures such as satellite dishes into space, aerospace Ph.D. student Ivan Wu and his advisor, Jeff Baur, at The Grainger College of Engineering ...

Decades of research has viewed DNA as a sequence-based instruction manual; yet every cell in the body shares the same genes – so where is the language that writes the memory of cell identities?

Artificial intelligence computing startup D-Matrix Corp. said today it has developed a new implementation of 3D dynamic random-access memory technology that promises to accelerate inference workloads ...

Multiplication in Python may seem simple at first—just use the * operator—but it actually covers far more than just numbers. You can use * to multiply integers and floats, repeat strings and lists, or ...