Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...
ACM Fellows are selected by their peers for achieving remarkable results through their technical innovations and/or service to the field.
This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...
It collects data on users’ range of motion and assess their balance to support them while they are standing. Read more at ...
ACM, the Association for Computing Machinery, has named 71 new Fellows. ACM Fellows are registered members of the society and were selected by their peers for achieving remarkable results through ...
Imagine being able to swap your place of employment for six months to work at a high-tech corporation, then return to work ...
Many enterprise AI initiatives continue to struggle — with 95% failing to deliver ROI due to inadequate data infrastructure ...
A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major ...
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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 ...
Tech Xplore on MSN
To explain or not? Online dating experiment shows need for AI transparency depends on user expectation
Artificial intelligence (AI) is said to be a "black box," with its logic obscured from human understanding—but how much does ...
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