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Hubei province in China has released the nation's first price list for brain-computer interface medical services, starting from 6552 yuan.

Researchers in China have unveiled the world's first three-dimensional atlas of a brain-computer interface at the micrometer scale. This groundbreaking achievement significantly improves the safety and precision of brain surgery involving BCIs.

Yale University researchers have developed MindLLM, an AI model capable of translating fMRI brain signals directly into text. This groundbreaking technology bridges the gap between brain activity and human language, opening new possibilities for communication and understanding the human brain.

Social media giant Meta recently announced that they have developed a new device capable of reading brain neural signals to enable text input. This research achievement is detailed by Meta's scientists in two studies, utilizing advanced brain imaging technology and deep learning AI models to successfully decode the brain signals of individuals while they type, even reconstructing complete sentences. Specifically, this technology relies on a scanning device known as magnetoencephalography (MEG), which can capture the faint magnetic signals emitted by the brain.

According to the Shanghai Municipal Science and Technology Commission, Shanghai has once again set a new record in medical technology. On November 6, Huashan Hospital's neurosurgery department successfully completed a pioneering clinical implant trial of a brain-computer interface, bringing hope to paralyzed patients for regaining autonomy in their lives. This groundbreaking technology was jointly developed by Borye Medical Technology and Professor Hongbo's team from Tsinghua University. Patient Xiao Dong, after being paralyzed for four years, successfully collected neural signals from the sensory-motor area of the brain using a brain-computer interface device the size of a coin. Unlike traditional invasive brain-computer interfaces, this system employs a wireless minimally invasive design.

Within the complex neural networks of the human brain, billions of neurons are continuously generating electrical activity, encoding our every thought, action, and sensation. The complexity of this neural symphony has long been a significant challenge in brain-computer interface (BCI) research. However, researchers at the University of Southern California (USC) have recently made a major breakthrough by developing a novel artificial intelligence algorithm called DPAD (Decoupled Prioritized Dynamic Analysis), which promises to fundamentally change the way we interpret brain activity. Image Source Note: Image generated by AI, image licensed by provider M

Under the magic of technology, Elon Musk's Neuralink company has brought new hope to a paralyzed gaming enthusiast named Alex. With brain-computer interface technology, Alex is not only able to play the game 'CS2' but has even achieved a stunning triple kill, something that was unimaginable before.

The rapid development of brain-computer interface technology is reshaping human lives, not only helping patients with speech disorders regain their communication abilities and allowing paralyzed individuals to walk again, but also potentially granting humanity 'superpowers'. Elon Musk's Neuralink company has enabled direct interaction with the digital world by implanting chips in paralyzed patients, allowing them to control devices with their thoughts, bringing unprecedented convenience and possibilities to life. This technology is not limited to assistive functions; it has also sparked discussions about enhancing human capabilities in the future, including the possibility of competing with superintelligent AI.

Synchron is pioneering brain-computer interface (BCI) technology to offer new hope for patients with limited mobility. By integrating implanted BCI with OpenAI's ChatGPT, patients can more easily control digital devices without invasive surgery. This combination allows patients to type and communicate using AI-predicted responses, significantly enhancing communication speed. As AI learns individual language habits, prediction accuracy improves. S....

The research team at Tianjin University has recently achieved a remarkable breakthrough with the development of MetaBOC, the world's first open-source on-chip brain intelligence complex information interaction system. This technology not only opens new possibilities for brain-computer interface technology but also promises to have a profound impact on cutting-edge fields such as hybrid intelligence and neuromorphic computing. MetaBOC (BOC stands for brain-on-chip) was collaboratively developed b

In the latest news, Musk's brain-computer interface company Neuralink successfully conducted its first human clinical trial, implanting a brain-computer interface device and announcing that the patient has recovered well. This marks a significant advancement for Neuralink in human clinical research since receiving FDA approval last year. The experiment is a step towards Neuralink's exploration of commercialization and represents a milestone in the company's commitment to developing brain-computer interface technology. The company's ultimate goal is to create a full-brain interface, bringing biology and artificial intelligence closer together.

On October 18, Meta AI launched a new AI system capable of real-time decoding of images perceived by the brain from MEG brain scans. This system requires pre-training on individual brain waves and currently cannot decode thought images that are unrelated to the training. This marks an early effort by Meta to unveil the mysteries of the brain and achieve brain-computer interfaces. The technology is expected to serve as a stepping stone for non-invasive brain-computer interfaces to assist patients with impaired language functions. The launch of the new system has sparked widespread discussion about advancements and future applications of brain technology.

Facebook Research has developed the BrainMagick model that decodes matching speech content from brain activity recorded via EEG and MEG. The model achieves a Top-10 accuracy of 72.5% and a Top-1 accuracy of 41% for speech segments in MEG recordings, supporting the decoding of unseen words. It offers a non-invasive communication hope for aphasia patients with language dysfunction, eliminating the risks associated with brain surgery. The project is open-sourced on GitHub and can be executed using a GPU with 16GB of memory.

Neuralink is recruiting patients with quadriplegia and ALS for its first human trial. The purpose of the trial is to assess the safety and functionality of the brain-computer interface implantation tool, marking a crucial step in Neuralink's advancement of clinical applications for brain-computer interfaces.