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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 ...
The Dynamic Ads optimization initiative represents a paradigm shift in how advertising platforms approach vertical-specific ...
From agentic underwriting to patent-pending risk models, Piramal Finance, a wholly owned subsidiary of Piramal Enterprises Limited, and a ...
Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.
For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...
The fast evolution of technology in the areas of Artificial Intelligence (AI), Data Analytics, and cloud computing has changed the way we measure, understand, a ...
AI could transform materials R&D. But how it does this, and how well it is adopted, is yet to be seen. Here, we take a look ...
How are data and AI being used to deliver value to customers and employees in the insurance industry? This is among the ...
Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...
The aspect of a job interview will have turned into an evaluation backed with data, behavior analysis, and competency models by the year 2026.
A new global study shows that increasing soil salinity is systematically reshaping the storage and distribution of soil ...
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