Modern vision-language models allow documents to be transformed into structured, computable representations rather than lossy text blobs.
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...
The CP2K open-source package is among the top three most widely used research software suites worldwide for simulating the ...
Does a research-based explanation hold when applied to new situations? Here’s how to predict the future as well as clarifying ...
Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...
Autonomous agents will soon run thousands of enterprise workflows, and only organizations with unified, trusted, context-rich ...
For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...
A new $100B data center is coming to the Northland, boasting economic growth and infrastructure upgrades. But at what cost?
This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...
Artificial intelligence is increasingly used as a tool in many health care settings, from writing physicians' notes to making ...
The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...
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