Jay Manuel, J. Alexander and Nigel Barker discussed a plan for their exit that ultimately didn't pan out, the three reveal ...

The McLaren driver has made strategic changes to his trackside entourage to avoid a repeat of the mid-season slump which cost ...

Your network isn’t slow. It’s fighting itself.

Abstract: Existing airborne laser scanning (ALS) point cloud semantic segmentation approaches are limited by their overreliances on sufficient point-wise annotations that further confine their ...

New England brought in four new starting offensive linemen to protect Drake Maye in 2025. The group has relied on each other ...

Thread is a mesh networking protocol that connects low-power smart home gadgets, and it’s one of Matter’s underlying ...

Elon Musk has spent years warning that artificial intelligence could one day outstrip human control, but his latest alarm is focused on something that looks deceptively familiar: a social network.

Abstract: Point cloud semantic segmentation is important for road scene perception, a task for driverless vehicles to achieve full fledged autonomy. In this work, we introduce Mask Point Transformer ...

Productive networking isn’t about being “good” at networking. It’s about aiming to be genuinely useful to others—consistently ...

Abstract: We propose a generative adversarial network for point cloud upsampling, which can not only make the upsampled points evenly distributed on the underlying surface but also efficiently ...

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

Abstract: At present, with the original point cloud as input, most of the object detectors use Pointnet++ to extract features of the point cloud based on the Farthest Point Sampling (FPS). However, ...