Abstract: This article summarizes the main results and contributions of the MagNet Challenge 2023, an open-source research initiative for data-driven modeling of power magnetic materials. The MagNet ...
It seems like everyone wants to get an AI tool developed and deployed for their organization quickly—like yesterday. Several customers I’m working with are rapidly designing, building and testing ...
A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.
1 College of Traditional Chinese Medicine, Shanghai University of Traditional Chinese medicine, Shanghai, China 2 Shanghai Baoshan Hospital of Integrated Traditional Chinese and Western Medicine, ...
When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...
On December 17 2024, the European Data Protection Board (EDPB) issued Opinion 28/2024 addressing data protection aspects of processing in the context of AI models. This Opinion was requested by the ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More One of Google’s latest experimental models, Gemini-Exp-1206, shows the ...
Abstract: Utilizing fake data (simulated based on mechanism models or generated through data-driven models) for data enhancement is a popular approach to solve the problem of fault diagnosis with ...
The tools provide advanced data intelligence, data quality, and data modeling capabilities aimed at helping customers ensure the AI readiness of their data, the company said. Quest Software has ...
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