Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.
University of Birmingham experts have created open-source computer software that helps scientists understand how fast-moving ...
Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
Keane, "Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks," NBER Working Paper 35037 (2026), ...
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