AWS Public Sector Blog The world of genomics holds the key to understanding and combating many human diseases. However, analyzing the immense volume of genomic data necessary to find meaningful patterns is a monumental task. Traditional methods, although essential, face challenges in scalability and the discovery of novel, complex patterns across large datasets. This post

Artificial intelligence is steadily working its way into one of medicine’s most technically demanding fields: minimally invasive vascular surgery. A new narrative review published in Frontiers in Cardiovascular Medicine pulls together the evidence on how machine learning, deep learning, natural language processing, and robotics with reinforcement learning are being applied to endovascular and robot-assisted procedures

A research team at the University of Cincinnati Cancer Center has developed a breast cancer survival model that combines classical statistical methods with a deep learning framework, an approach the team reports achieved higher accuracy at predicting survival outcomes than comparison models when tested on a publicly available dataset of 1,980 breast cancer patients. The

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AI Venture firms are finding that AI agents, when applied to a broad swath of internal workflows, can augment decision-making and enhance collaboration among teams. By David Bogoslaw 30 April 2026 • 10 mins read Featured Managers AI Deals & Exits Deep Tech Featured Slider People - Firms Technology Cover Story

By Rich Nass Contributing Editor Embedded Computing Design October 23, 2026 Artificial intelligence is becoming a practical component of embedded systems, from predictive maintenance and motor control to machine vision, industrial automation, and smart building infrastructure. But as developers integrate AI into these products, they face a security question that extends beyond the accuracy of