Deep neural networks that classify images and video can be startlingly accurate while quietly learning the wrong things. A ...

Researchers have built a modified dual-task DenseNet121 that classifies brain tumors from MRI scans with over 99 percent ...

Your laptop’s idle NPU can sort 100 gigabytes of family photos about 3 times faster than the CPU, without draining the ...

The acquisition expands Imagenet’s data and AI capabilities while adding specialized expertise that complements the company’s existing healthcare technology, intelligent automation and operational ...

TAMPA, Fla., Aug. 27, 2026 /PRNewswire/ -- Imagenet, a technology-forward healthcare operations partner for payers, today announced the acquisition of Analytica Consulting, a California-based data ...

The deal adds data engineering, AI and analytics capabilities to the buyer’s healthcare technology offering The combination pairs healthcare operations expertise with modern data platform and ...

Rather than asking health plans to replace their core IT stacks, the combined organization focuses on “in-situ” data modernization—layering data pipelines, machine learning models, and automated ...

Healthcare payers face mounting pressure to lower costs, manage complex claims and meet regulatory requirements without compromising service quality. In this video interview, Imagenet CEO Greg Carnes ...

Abstract: Transferable adversarial examples (AEs) are visually indistinguishable from benign images, but can successfully mislead unknown deep neural networks. However, existing AEs normally vary ...

Text preprocessing changes the representation supplied to a model. A case-sensitive bag-of-words pipeline can give surface variants separate features, while many vectorizers already normalize text and ...

Abstract: For image-related deep learning tasks, the first step often involves reading data from external storage and performing preprocessing on the CPU. As accelerator speed increases and the number ...