The recent progress in semantic point cloud segmentation is attributed to deep networks, which require a large amount of point cloud data for training. However, how to collect substantial point-wise ...

The patient segmentation process is dynamic, whereby certain life events or disease stages will push one towards a certain segment. However each segment has its own significantly different ...

Network segmentation and reliable backup systems are crucial for responding to and recovering from cyberattacks against ...

We are now seeing these processors arrive on the market, supported by software from manufacturers and their partners. This ...

Google has announced the Tensor G5 processor, which powers the Pixel 10 series. But is it looking like a winner? Here's what ...

Thread, a Chinese embedded operating system company, has successfully deployed its operating system in leading automotive companies such as BYD and Geely, establishing partnerships with nearly ten ...

SegLLM: Multi-round Reasoning Segmentation We present SegLLM, a novel multi-round interactive segmentation model that leverages conversational memory of both visual and textual outputs to reason over ...

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Overview Environment Setup We use python 3.11/CUDA 12.4/torch 2.5.1 for implementation. We train our models on 8 NVIDIA A100 ...

Zscaler Inc. (ZS) reported financial results for the fourth quarter of fiscal 2025 after the market close on Tuesday. Below ...

Where software-defined vehicles (SDVs) centralize control and deploy updates from the cloud to the car, AI-defined vehicles ...