Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. We are still only at the beginning of this AI rollout, where the training of models is still ...
Artificial intelligence computing demand is shifting as more people use the technology, and it is expected to push data centers closer to population centers. Big Tech’s AI arms race has sparked a data ...
Real-world data (RWD) derived from electronic health records (EHRs) are often used to understand population-level relationships between patient characteristics and cancer outcomes. Machine learning ...
At the GTC 2025 conference, Nvidia introduced Dynamo, a new open-source AI inference server designed to serve the latest generation of large AI models at scale. Dynamo is the successor to Nvidia’s ...
The major cloud builders and their hyperscaler brethren – in many cases, one company acts like both a cloud and a hyperscaler – have made their technology choices when it comes to deploying AI ...
AI storage firm Vast Data has launched native integration of its operating system available on Nvidia BlueField-4 DPUs in a bid to service inference sessions in the agentic era. Leveraging those DPUs ...
Leveraging Centralized Health System Data Management and Large Language Model–Based Data Preprocessing to Identify Predictors for Radiation Therapy Interruption This study presents a new method based ...
Artificial intelligence (AI) relies on vast amounts of data. Enterprises that take on AI projects, especially for large language models (LLMs) and generative AI (GenAI), need to capture large volumes ...
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