Materials research generates vast amounts of data, but the information often exists in manufacturer-specific formats and the terminology is inconsistent, making it difficult to aggregate, compare, and ...
Physna is licensing API access to its Physical AI search and normalization engine for a cohort of AI labs, OEMs, ...
Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...
Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...
For several decades, Boston Dynamics has pioneered the development of advanced robots, including humanoids and four-legged ...
Abstract: The flush air data sensing (FADS) method based on artificial neural networks (ANNs) has been widely studied and applied in air data sensing for advanced aircraft. Most current methods focus ...
Abstract: Accurate prediction of wind power plays a very important role in the new environment of the power system where a large amount of clean energy is integrated into the power grid nowadays. The ...
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