On Wednesday, Meta announced an AI model called the Segment Anything Model (SAM) that can identify individual objects in images and videos, even those not encountered during training, reports Reuters.

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Crop segmentation, the process of identifying crop regions in images, is fundamental to agricultural monitoring tasks such as yield prediction, pest detection, and growth assessment. Traditional ...

Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...

Meta has introduced the Segment Anything Model, which aims to set a new bar for computer-vision-based ‘object segmentation’—the ability for computers to understand the difference between individual ...

A new technical paper titled “A Universal AI-Powered Segmentation Model for PCBA and Semiconductor” was published by researchers at Nordson Corporation. “This paper introduces a novel universal deep ...

A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...

Bridging the digital literacy gap: Empowering patients and care partners through the Digital Sherpa program. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does ...

Delivers identity-aware and risk-driven segmentation modeling across IT, OT, IoT, and IoMT environments Forescout Technologies, a global leader in cybersecurity, today announced a new, agentless, ...