Machine learning models are highly influenced by the data they are trained on in terms of their performance, ...
When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found ...
Researchers Yue Zhao and Kang Pu from Stony Brook University—in collaboration with Ecosuite's John Gorman and Philip Court, ...
As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
In contrast to machine learning (ML), machine unlearning is the process of removing certain data or influences from models as ...
Overview: AI in financial services uses machine learning and automation to analyze data in real time, improving speed, accuracy, and decision-making across bank ...
From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...
This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...
Step inside the Soft Robotics Lab at ETH Zurich, and you find yourself in a space that is part children's nursery, part ...
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