This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
(A) After the electrodes were implanted, participants took part in the study in the wheelchair, reading sentences given visual cues. Audio data were collected using a directional microphone, and ...
Abstract: In this paper, we consider the design of the Tail-Biting Convolutional Code Decoder (TB-CCD) for the Long Term Evolution (LTE) system. Tail-biting convolutional coding is used for channel ...
During a fireside chat with Meta CEO Mark Zuckerberg at Meta’s LlamaCon conference on Tuesday, Microsoft CEO Satya Nadella said that 20% to 30% of code inside the company’s repositories was “written ...
An improvement to an existing AI-based brain decoder can translate a person's thoughts into text without hours of training. When you purchase through links on our site, we may earn an affiliate ...
A new AI-based tool can translate a person's thoughts into continuous text, without requiring the person to comprehend spoken words. This latest advance suggests it may be possible, with further ...
PyTorch implementation and pretrained models for High resolution Canopy Height Prediction inference. For details, see the paper: Very high resolution canopy height maps from RGB imagery using ...
In a recent study published in Nature, researchers introduced a cutting-edge neural network, AlphaQubit, to decode the surface code—one of the most promising ...
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