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 ...

AI-powered customer segmentation is transforming how brands connect with their audiences, moving beyond static demographics to real-time, behavior-driven insights. By unifying data across systems and ...

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 ...

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 ...

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 ...

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, ...

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 ...

One reason I've been underwhelmed by AI is that companies consistently frame it as a solution to every problem under the sun. That's why Meta's new Segment Anything Model (SAM 2) is so intriguing to ...

Multicentric Validation of a Complete Blood Count–Based Model for Breast Cancer Risk Stratification in Women Age 40-49 Years AI segmentation using Segment Anything Model 2 (SAM 2) was evaluated from ...