AI-powered radiology worklist orchestration is rapidly becoming the new standard as hospital networks and teleradiology providers shift from chronological queuing to intelligent, pixel-aware study ...

Nine years ago, one of AI’s most influential voices said people should “stop training radiologists now.” In 2016, that sounded like the kind of prediction only a brave technologist would make out loud ...

Radiological reporting is a central component of clinical decision-making and a patient safety-critical system. Radiology ...

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...

The expanded collaboration builds on the companies’ existing joint initiative by bringing to market enhanced capabilities of DeepHealth’s new AI-powered Breast Suite, including ProFound Pro and ...

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” ...

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

What’s the secret sauce of Elon Musk’s management style? Host Tim Higgins and former Tesla President Jon McNeill deconstruct the operating system that powered Tesla’s massive growth and the ...

Google (GOOG)(GOOGL) revealed a set of new algorithms today designed to reduce the amount of memory needed to run large language models and vector search engines. The algorithms introduced by Google ...