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.

Intel is advancing texture compression techniques with its newly introduced Texture Set Neural Compression (TSNC) technology, ...

An international reserch team developed two deep learning-based IDS models to enhance cybersecurity in SCADA systems. The ...

NAB Show 2026 heads back to the Las Vegas Convention Center, with the show floor opening for exhibits on April 19 and running ...

The flexible, all-in-one solution features H.264, HEVC, JPEG XS and configurable encoding/decoding on a single compact blade ...

The Makito ONE is an integral part of Haivision’s broadcast contribution ecosystem. Trusted by the world’s leading ...

Abstract: Accurate segmentation of pulmonary infection regions is critical for diagnosing respiratory diseases such as COVID-19 and pneumonia. Although recent deep learning approaches have achieved ...

Meta’s new TRIBE AI model decodes brain activity with 70x higher resolution. Discover how this foundation model uses fMRI data to advance in-silico n.

A new holographic storage technique uses light in three dimensions to dramatically increase how much data can be stored. It encodes information throughout a material using amplitude, phase, and ...

Abstract: In deep learning-based dehazing strategies, attention mechanisms are widely used to refine feature representations and improve overall performance. However, conventional contextual attention ...

For almost a century, psychologists and neuroscientists have been trying to understand how humans memorize different types of information, ranging from knowledge or facts to the recollection of ...