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Key takeaways Satellite imagery combined with artificial intelligence has led to new, high-resolution statewide maps that detect changes in kelp forests previously invisible to traditional monitoring tools. The maps provide critical data-driven insights into how kelp survived or declined following the record-breaking 2014–2016 marine heatwave, allowing managers to target specific areas for recovery and develop

UCLA Key takeaways Satellite imagery combined with artificial intelligence has led to new, high-resolution statewide maps that detect changes in kelp forests previously invisible to traditional monitoring tools. The maps provide critical data-driven insights into how kelp survived or declined following the record-breaking 2014–2016 marine heatwave, allowing managers to target specific areas for recovery and

AWS News Blog We’re thrilled to celebrate three exceptional developer community leaders as AWS Heroes. These individuals represent the heart of what makes the AWS community so vibrant. In addition to sharing technical knowledge, they build connections, forge genuine human relationships, and create pathways for others to grow. From pioneering cloud culture in mountain villages

A systematic review and meta-analysis published in Frontiers in Oncology found that ultrasound characteristics–based artificial intelligence–assisted diagnostic systems “demonstrated high clinical potential” in distinguishing benign from malignant thyroid nodules, with an ensemble deep learning classification model showing the highest diagnostic accuracy, according to Zhan et al. In addition, the researchers wrote, “For thyroid nodules in

Artificial intelligence (AI) models analyzing imaging, clinical, and molecular data may improve the diagnosis and prediction of polycystic ovary syndrome, according to a systematic review of 80 studies that found some tools consistently outperform traditional diagnostic approaches and identified potential molecular biomarkers. The review, conducted by Mustafa Ghaderzadeh, PhD, of Urmia University of Medical Sciences

The University of New Haven is introducing a Bachelor of Science in Artificial Intelligence that will equip students with the technical, ethical, and industry-focused skills needed to design and deploy AI systems across a wide range of industries. March 17, 2026 By Caitlin Truesdale, Office of Marketing and Communications The new BS in AI program

References Sun, W., Zheng, B. & Qian, W. Computer aided lung cancer diagnosis with deep learning algorithms. In Medical Imaging 2016: Computer-Aided Diagnosis vol. 9785, 241–248 (SPIE, 2016). Zhou, Z.-H., Jiang, Y., Yang, Y.-B. & Chen, S.-F. Lung cancer cell identification based on artificial neural network ensembles. Artif. Intell. Med. 24, 25–36 (2002). Google Scholar 

Heart disease is the leading cause of adult death worldwide, making cardiovascular disease diagnosis and management a global health priority. An echocardiogram, or cardiac ultrasound, is one of the most commonly used imaging tools employed by physicians to diagnose a variety of heart diseases and conditions.   Most standard echocardiograms provide two-dimensional visual images (2D) of the three-dimensional (3D) cardiac anatomy. These echocardiograms often capture hundreds of 2D slices or views of a

Introduction: Why Downtime Is No Longer Acceptable Unplanned downtime remains one of the most persistent and costly challenges in modern manufacturing. Studies and industry assessments from organisations such as Siemens and the Aberdeen Group have consistently shown that unexpected equipment failures cost global manufacturers tens of billions of dollars every year, with large automotive plants

This post is co-written with Mark Ross from Atos. Organizations pursuing AI transformation can face a familiar challenge: how to upskill their workforce at scale in a way that changes how teams build, deploy, and use AI. Traditional AI training approaches—online courses, certification programs, and classroom-based instruction—are necessary, but often insufficient. While they build foundational