Does the brain work like an LLM in predicting words? New study spells out a complicated answer

The appearance of predictive text in writing an email or text message has become, for better or worse, a regular feature of ...
eLife

Modality-agnostic decoding of vision and language from fMRI

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

How Intel Got Into Trouble: We Test the Last Decade of Intel Flagship CPUs

From Kaby Lake to Core Ultra, we revisit Intel's flagship CPUs to see how a decade of design choices shaped performance, ...
IEEE

Sparse Deep Neural Network for Encoding and Decoding the Structural Connectome

Abstract: Brain state classification by applying deep learning techniques on neuroimaging data has become a recent topic of research. However, unlike domains where the data is low dimensional or there ...
IEEE

O-Net: Bidirectional Encoding and Decoding Architecture for Infrared Small Target Detection

Abstract: Infrared small target detection (ISTD) faces significant challenges in effectively utilizing shallow and deep features while mitigating spatial detail degradation during sampling. To address ...
eLife

Stimulus dependencies—rather than next-word prediction—can explain pre-onset brain encoding in naturalistic listening designs

The ability to predict brain activity from words before they occur can be explained by information shared between neighbouring words, without requiring next-word prediction by the brain.