all AI news
Decode Neural signal as Speech
March 5, 2024, 2:52 p.m. | Yiqian Yang, Yiqun Duan, Qiang Zhang, Renjing Xu, Hui Xiong
cs.CL updates on arXiv.org arxiv.org
Abstract: Decoding language from brain dynamics is an important open direction in the realm of brain-computer interface (BCI), especially considering the rapid growth of large language models. Compared to invasive-based signals which require electrode implantation surgery, non-invasive neural signals (e.g. EEG, MEG) have attracted increasing attention considering their safety and generality. However, the exploration is not adequate in three aspects: 1) previous methods mainly focus on EEG but none of the previous works address this problem …
abstract arxiv attention bci brain brain-computer interface computer cs.ai cs.cl decode decoding dynamics eeg growth language language models large language large language models meg safety signal speech surgery type
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Senior Principal, Product Strategy Operations, Cloud Data Analytics
@ Google | Sunnyvale, CA, USA; Austin, TX, USA
Data Scientist - HR BU
@ ServiceNow | Hyderabad, India