Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
Explainable AI agents can now troubleshoot Kubernetes using governed tools, observability, and human approval, making ...
This valuable study provides solid evidence for deficits in aversive taste learning and taste coding in a mouse model of autism spectrum disorders. Specifically, the authors found that Shank3 knockout ...
Researchers in Shanghai have reported in a study, recently published in Science Advances, that they've successfully decoded Mandarin Chinese language in real time with the help of a brain-computer ...
Most experimental brain-computer interfaces (BCIs) that have been used for synthesizing human speech have been implanted in the areas of the brain that translate the intention to speak into the muscle ...
A new brain-computer interface can decode a person's inner speech, which could help people with paralysis communicate. When you purchase through links on our site, we may earn an affiliate commission.
Beyond tumor-shed markers: AI driven tumor-educated polymorphonuclear granulocytes monitoring for multi-cancer early detection. Clinical outcomes of a prospective multicenter study evaluating a ...
With AV1 hardware decode on mobile devices stuck in the mid-to-low teens as of 2025, and with VVC at zero, it’s clear that the race to supplant H.264 and HEVC will be contested with software-only ...
Abstract: In unsupervised medical image registration, encoder-decoder architectures are widely used to predict dense, full-resolution displacement fields from paired images. Despite their popularity, ...
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