At the frontiers of knowledge, researchers are discovering that A.I. doesn’t just take prompts—it gives them, too, sparking ...

By leveraging a vision foundation model called Depth Anything V2, the method can accurately segment crops across diverse environments—field, lab, and aerial—reducing both time and cost in agricultural ...

The updated Tesla Model 3 RWD Long Range continues to lead the EV segment with its strong efficiency, minimalist design, and impressive range. In this review, we take a closer look at the newest ...

The remarks, which came during a keynote speech at a summit hosted by the All-In Podcast, follow President Donald Trump’s newly released AI Action Plan.

Morphological methods play a crucial role in remote sensing image processing, due to their ability to capture and preserve small structural details. However, most of the existing deep learning models ...

Using draft_export instead, i.e. switching your export call from torch.export.export -> torch.export.draft_export might also be very helpful; it uses real-tensor compute to bypass data-dependent ...

To alleviate the above issues, we propose local-global and change-aware network (LGCANet) via fast segment anything model (SAM). The SAM can accurately segment objects in various scene images.

While some business leaders buy large language models, others build their own. Here are five things you need to know.

🚀 What it does camera-segment is a Python package and CLI tool designed to help you capture and save segments of video from one or more cameras. (Implementation coming soon!) ...