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.
Morning Overview on MSN
Nvidia demo shows neural texture compression can cut VRAM use by up to 85%
Nvidia researchers have proposed a neural network-based method for compressing material textures that, in results reported in ...
The Asus Zenbook A16 is a thin and light Windows notebook aiming to take the portability crown from Apple. Here's how it ...
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This is your brain on psychedelics: Neuroimaging study sheds light on cortical network effects
Psychedelic drugs are being investigated as scientific and clinical tools, but the brain mechanisms behind their effects remain unclear. Earlier brain imaging studies in small cohorts from single ...
A new publication from Opto-Electronic Technology; DOI 10.29026/oet.2026.250009, discusses progress and applications of ...
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Slopaganda wars: how (and why) the US and Iran are flooding the zone with viral AI‑generated noise
Even obviously fake propaganda videos can influence viewers – and erode their trust in all kinds of information.
In today’s digital cultural environment, a region of the brain is overstimulated, contributing to overthinking and comparing ...
Gracenote found that usage of chatbots for a range of purposes is gaining traction across generations, with 66% reporting ...
Patterns of neural activity called theta oscillations have a role in memory encoding but – contrary to current thinking – do not appear to have a role in memory retrieval.
Generative AI models are usually built on deep learning, where multi-layered neural networks scan through endless pieces of ...
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