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AI offers promise in the realm of chronic disease management, including diabetes, obesity, and PCOS, but must be approached with caution.
Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...
MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...
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Live Science on MSNScientists use quantum machine learning to create semiconductors for the first time – and it could transform how chips are madeResearchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing.
Automated analysis of microscopic images offers a powerful new tool for predicting and managing under-deposit corrosion in ...
This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...
Trader AI Inc. is a AI-driven cryptocurrency trading solutions. Founded in 2023 by a team of quantitative analysts, data scientists, and seasoned software engineers, Trader AI’s mission is to ...
Wall Street focuses on obvious AI plays while missing how artificial intelligence creates operational leverage in sectors ...
What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...
A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle ...
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News-Medical.Net on MSNNew biomarker ELL2 identified for early diagnosis and prognosis in sepsisSepsis is a life-threatening condition caused by organ dysfunction resulting from the body's dysregulated response to infection. Annually, sepsis affects more than 31 million people worldwide, with a ...
Through large-scale cohort analysis, researchers have established a novel and stable classification of sepsis patients. Multi-machine learning integrated prognostic models prove highly effective in ...
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