PITTSBURGH, Oct. 18, 2024 — Software systems with a machine learning (ML) component often fail in production. One reason is that ML models are frequently developed in isolation, making it impossible ...
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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 ...
Impulse AI is building an autonomous machine learning engineer that turns data into production models from a simple prompt. Founded in 2025 and based in California, the company enables teams to build, ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Machine learning accurately predicts peak and average IOP, aiding glaucoma management by informing treatment decisions. Random forest regression (RFR) outperformed ...
Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
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