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1. Demand Prediction Engine: A Technological Leap from "Passive Response" to "Active Anticipation" ...
The ADB–Cornell study finds that machine learning poverty maps often misfire, overestimating welfare in poor, rural, ...
A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases ...
4 天
Tech Xplore on MSNPioneering a way to remove private data from AI models
A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial ...
AEquity aims to improve training for healthcare machine-learning algorithms by assessing the accuracy and fairness of the data they're fed.
Universities race to prepare students for the AI workplace, teaching generative AI skills, strategic AI literacy, and future ...
5 天
Tech Xplore on MSN3 questions: The pros and cons of synthetic data in AI
Synthetic data are artificially generated by algorithms to mimic the statistical properties of actual data, without ...
The research finds that AI is already revolutionizing energy storage at multiple levels, starting with the performance of ...
Corporate strategy will need to take these potential issues into account, both by shielding who owns the data and by ...
3 天
News-Medical.Net on MSNInnovative approach advances equity in health care AI
A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases ...
AI fitness coach delivers real-time adaptive workouts with compact home gym hardware to deliver personalized strength ...
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