Scientists are learning how the brain extracts discrete words from a continuous stream of sounds.

Delta Gold Technologies (USOTC:DGQTF) (AQSE:DGQ) has announced a major advancement in its quantum technology strategy, adding ...

A research team from HKU Engineering has pioneered a fundamentally new imaging strategy known as AIMED (Arbitrary illumination microscopy with encoded depth), which utilizes a sub-sampling approach.

Hearing impairment selectively disrupts neural tracking of speech at both short and long temporal scales during multi-speaker listening, while preserving intermediate linguistic processing.

Comorbidity—the co-occurrence of multiple diseases in a patient—complicates diagnosis, treatment, and prognosis. Understanding how diseases connect at a molecular level is crucial, especially in aging ...

Abstract: In Deep Image Prior (DIP), a Convolutional Neural Network (CNN) is fitted to map a latent space to a degraded (e.g. noisy) image but in the process learns to reconstruct the clean image.

The official implementation of the paper "V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding". The main contributions of this work are ...

When humans perform working memory tasks, their eye movements disclose a wealth of information about what they are holding in mind. Here, we report a similar behavior in monkeys—small, uninstructed ...

Every field has the following aspects: semantic datatype, encoding, and metadata. They will be specified in more detail in the sections on datatype encoding and message schema but are introduced here ...

Abstract: 3D lane detection from the input monocular image is a basic but indispensable task in the environment perception of automatic driving. Recent work uses modules such as depth estimation, ...