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

This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...

Companies and researchers can use aggregated, anonymized LinkedIn data to spot trends in the job market. This means looking ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

MicroPython is a well-known and easy-to-use way to program microcontrollers in Python. If you’re using an Arduino Uno Q, ...

A group of hackers used both Claude Code and ChatGPT in a cybersecurity hack that lasted two and a half months.

A licensed attorney with nearly a decade of experience in content production, Valerie Catalano knows how to help readers digest complicated information about the law in an approachable way. Her ...