In 2026, tech leaders are learning a painful lesson: the problem with scaling AI adoption isn't understanding the algorithm, ...
Generative AI is best known for creating images and text. Now, it is helping industries make better planning decisions.
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University of Oregon AI models drug molecule motion before lab tests
A single drug can take more than a decade and an estimated $2.6 billion to bring to market, and much of that time is spent ...
Abstract: This study proposes a distributed computing optimization framework based on MapReduce to address the problem of low efficiency in big data processing in mathematical modeling. The aim is to ...
This issue of Transforming Care looks at how employees of health care systems are working to make AI useful while also ...
Abstract: This paper analyzes and compensates for Data Age Error (DAE) in heterodyne interferometers under high-dynamic conditions, systematically elucidating the ...
A decade or so ago, reading instruction underwent a public reassessment. Whole language approaches had emphasized immersion in texts and contextual, “cue"-based guessing strategies. The goals were ...
Future quantum computers will need to be far less powerful than we thought to threaten the security of encrypted messages, banking information and other sensitive data. When you purchase through links ...
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AI tools and social media hacks get most of the marketing attention, but a new study shows there’s serious ROI in sitting down and writing a good old-fashioned book filled with your expertise.
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 ...
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