Imagine if you could communicate with anyone without saying anything, just by thinking. That’s the promise of a new technology developed by researchers at the University of Technology Sydney (UTS). They have developed a portable, non-invasive system that can decode silent thoughts and convert them into text.

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DeWave technology used (University of Technology Sydney) (Kurt “Cyber ​​Guy” Knutson)

How does the technology work?

The technology, called DeWave, uses an electroencephalogram (EEG) cap to record the brain’s electrical activity through the scalp. Artificial intelligence (AI) models are then used to segment the brain waves into discrete units that capture specific characteristics and patterns from the human brain. DeWave converts these units into words and sentences by learning from large amounts of EEG data.

DeWave technology achievements (University of Technology Sydney) (Kurt “Cyber ​​Guy” Knutson)

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Why this technology is a game changer

This technology could help people who are unable to speak due to illness or injury, such as stroke or paralysis, communicate. It could also enable seamless communication between humans and machines, such as the operation of bionic arms and robots.

The technology is also more accessible and convenient than previous methods of translating brain signals into language. This method required either surgery to implant electrodes in the brain or scanning with an MRI machine, which is large, expensive and difficult to use in daily life. .

DeWave Technology (University of Technology Sydney) (Kurt “Cyber ​​Guy” Knutson)

DeWave is the first technology to incorporate discrete encoding techniques into the brain-to-text translation process, introducing an innovative approach to neural decoding. Integration with large-scale language models also opens new frontiers in neuroscience and AI, researchers say.

DeWave technology achievements (University of Technology Sydney) (Kurt “Cyber ​​Guy” Knutson)

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How the technology was tested

The technology was tested on 29 participants who silently read a passage of text while wearing an EEG cap. The researchers found that DeWave outperformed previous benchmarks and was able to convert EEG signals into words and sentences with high accuracy.

The technology was also able to translate brainwave signals without the need for eye tracking. Eye tracking is often used as an additional aid to segment brain signals into word-level units. This means that the technology can be used with or without eye tracking, depending on the user’s preferences and conditions.

The researchers also observed that the technique was better at matching verbs than nouns, sometimes producing pairs of synonyms rather than exact translations, such as “that person” instead of “author.” did. They explained that this is because semantically similar words can generate similar brainwave patterns.

The researchers hope to improve the technology’s translation accuracy score. It currently scores around 40% on BLEU-1, a measure of the similarity between machine-translated text and a human reference translation. We aim to achieve a level close to 90%, which is equivalent to traditional language translation programs and speech recognition programs.

DeWave technology used (University of Technology Sydney) (Kurt “Cyber ​​Guy” Knutson)

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What does the future hold for this technology?

The researchers hope their technology will have a positive impact on society, especially people who have difficulty communicating verbally. They also envision their technology enabling new forms of interaction and collaboration between humans and machines, such as controlling robots and virtual assistants with their thoughts.

They plan to continue research and development of this technology and explore its potential applications and impact in different areas and scenarios. We also welcome feedback and suggestions from the public and potential users of the technology.

Cart important points

DeWave is a breakthrough technology that can read your mind and translate it into text. This has the potential to revolutionize communication, assistive technology, and human-machine interaction. This is also a remarkable achievement in the fields of neuroscience and AI, demonstrating the power of discrete encoding and large-scale language models. Although DeWave is still in its early stages of development, it has already shown promising results and exciting potential.

What do you think about this technology? Should you try it if you have a chance? Please let us know by email. Cyberguy.com/Contact.

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