Emerging Brain-to-Content Technologies From Generative AI and Deep Representation Learning [In the Spotlight]

Rapid advances in generative artificial intelligence (AI) and deep representation learning have revolutionized numerous engineering applications in signal processing, computer vision, speech recognition and translation, and natural language processing due to amazingly powerful representation power (e.g., [1,2]). Generative AI-empowered tools, such as ChatGPT and Sora, have fundamentally changed the landscape of human-computer communications research. One emerging application along this line is to link the brain to the computer (i.e., brain-computer interface or BCI) and to develop paradigm-shift brain-to-content technologies. This BCI system upgrade (i.e., BCI 2.0) is empowered by generative AI and deep learning ("new engine") and large amounts of data ("gas"). In this article, we will revisit the old song sung in a new tune, highlight some state-of-the-art progresses, and briefly discuss the future outlook.

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Publication Details

Journal
IEEE Signal Processing Magazine
Published
2024-11-01
DOI
https://doi.org/10.1109/msp.2024.3484629
Citations
3
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
1.03
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article

Emerging Brain-to-Content Technologies From Generative AI and Deep Representation Learning [In the Spotlight]

Xingyu Li, Zhe Chen
3 citations
IEEE Signal Processing Magazine
EEG and Brain-Computer Interfaces
1.03
article

Emerging Brain-to-Content Technologies From Generative AI and Deep Representation Learning [In the Spotlight]

Xingyu Li, Zhe Chen
article en
3 citations

Abstract

Rapid advances in generative artificial intelligence (AI) and deep representation learning have revolutionized numerous engineering applications in signal processing, computer vision, speech recognition and translation, and natural language processing due to amazingly powerful representation power (e.g., [1,2]). Generative AI-empowered tools, such as ChatGPT and Sora, have fundamentally changed the landscape of human-computer communications research. One emerging application along this line is to link the brain to the computer (i.e., brain-computer interface or BCI) and to develop paradigm-shift brain-to-content technologies. This BCI system upgrade (i.e., BCI 2.0) is empowered by generative AI and deep learning ("new engine") and large amounts of data ("gas"). In this article, we will revisit the old song sung in a new tune, highlight some state-of-the-art progresses, and briefly discuss the future outlook.

IEEE Signal Processing MagazineVol. 41(6)
University of Toronto (CA), New York University (US)
Openalex Percentile: Top 23%
EEG and Brain-Computer Interfaces
1.03
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Emerging Brain-to-Content Technologies From Generative AI and Deep Representation Learning [In the Spotlight] — Xingyu Li, Zhe Chen · IEEE Signal Processing Magazine (2024) | TGRS Research Map | TGRS