AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...
A Cornell University fellow develops strategies to extract more than correlations from algorithms’ predictions.
The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...
Abstract: Exponential growth of unstructured data in the form of text documents, emails, and web content presents a noticeable challenge to automated data extraction. This kind of data has much more ...
Abstract: The computational complexity of the Transformer model grows quadratically with input sequence length. This causes a sharp increase in computational cost and memory consumption for ...