Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...
A machine-learning strategy has generated a new class of ultra-high strength and ductility steel for 3D printing that costs ...
A firefly-inspired AI framework makes atomic structure prediction more robust by combining multimodal search with an uncertainty-aware machine learning technique. The method improves efficiency for ...
Read more about Deep learning and AI unlock new era of solar energy forecasting and performance on Devdiscourse ...
In Boston, where anything short of a championship is a failure, the future of sports prediction isn’t coming from instinct — ...
Christine Allen, CEO and Co-Founder of Intrepid Labs, and Andy Lewis, CSO at Quotient Sciences, highlight their strategic partnership to accelerate drug product development with AI and ML technologies ...
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Fair decisions, clear reasons: Creating fuzzy AI with fairness built in from the start
Although AI is not intentionally biased, it can inherit biases from the data fed into it, learning and repeating them until ...
A machine-learning strategy has generated a new class of ultra-high strength and ductility steel for 3D printing that costs less, resists rust, and ...
Published in Eng, the study titled “Hybrid Smart Energy Community and Machine Learning Approaches for the AI Era in Energy Transition” introduces the Hybrid Smart Energy Community (HySEC) model, a ...
Managing municipal living plastic waste (MLPW) entails complex system-level challenges across collection, recycling, and treatment, necessitating ...
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