Brain Implant Controlled Across Continents

Researchers from KAIST and Yonsei University have demonstrated a wireless brain implant that can be controlled across continents. Their system, called RAPIDO, received commands sent from Chicago to a laboratory in Daejeon, South Korea with an average response time of about 109 milliseconds. Designed for experiments with freely moving animals, the implant combines two capabilities: precisely delivering drugs into specific brain regions and providing targeted light stimulation for optogenetic experiments. Its refillable cartridge and internet-based control could enable longer-term studies while reducing the need for researchers to physically approach or repeatedly handle experimental animals.

In experiments with rats, RAPIDO successfully delivered controlled doses of cocaine into the nucleus accumbens over several weeks, producing measurable dose-dependent behavioral effects. In a separate experiment, researchers used the implant's light stimulation to activate the RhoA signaling pathway, preventing rats from developing the same learned preference for a cocaine-associated environment. The researchers stress that this does not constitute a treatment for addiction; rather, the work demonstrates a platform for remotely manipulating specific neural processes and studying their effects on behavior. Significant challenges must be addressed before such technology could be considered for human clinical applications.

More information:

https://www.sciencealert.com/a-brain-implant-in-korea-was-just-controlled-from-the-us

Brain Implant Helps Paralysed Man Regain Independence

Researchers have developed a groundbreaking double neural bypass brain–computer interface that enabled a patient, who was paralysed from the chest down after a 2020 diving accident, to regain the ability to feed himself, drink from a cup, and perform everyday tasks independently. The system uses implanted brain electrodes to detect his intention to move, transmitting those signals directly to his arm and hand muscles while simultaneously sending sensory information back to the brain, allowing him to feel touch again. After 35 weeks of therapy, his arm strength improved dramatically, and he was able to handle delicate objects such as eggshells with remarkable precision.

Beyond restoring movement, the researchers found evidence that the technology may promote long-term healing of the nervous system rather than simply bypassing the spinal injury. By combining brain stimulation with sensory feedback and a technique called cortical mirroring, the patient regained sensation in areas that had been numb since his accident, with improvements persisting for more than two years after treatment. Although the results currently come from a single patient and larger clinical trials are still needed, the study represents a major advance in neuroprosthetics and offers new hope for millions of people living with paralysis.

More information:

https://www.theguardian.com/science/2026/jul/16/neural-bypass-brain-implant-paralysed-man-feed-himself-drink-from-cup

AI Brain Implant Restores Communication and Employment for ALS Patient

Researchers at the University of California, Davis have demonstrated a major advance in brain–computer interface (BCI) technology that enabled a 47-year-old patient with amyotrophic lateral sclerosis (ALS) to communicate, control a computer, and maintain full-time employment despite losing the ability to speak. The implanted system uses AI-driven decoding algorithms to translate neural activity associated with intended speech into text and synthesized speech, while also providing cursor control for independent computer use. Over more than two years of daily use, the patient generated nearly two million words and over 183,000 sentences, achieving communication speeds of about 56 words per minute with high accuracy.

The study is considered a significant milestone because the system functioned reliably outside the laboratory and without constant researcher supervision. Researchers reported that the participant accumulated more than 3,800 hours of use, creating the largest known single-neuron-resolution brain recording dataset of its kind. Beyond restoring communication, the technology allowed the user to reconnect socially, preserve aspects of his natural voice, and continue professional work, highlighting how AI-enhanced BCIs are moving from experimental demonstrations toward practical tools that can meaningfully improve quality of life for people with severe paralysis.

More information:

https://www.theregister.com/science/2026/06/16/ai-and-brain-computer-interface-allow-speechless-als-patient-to-work-a-full-time-job/5256492

China Accelerates AI BCI Race

Chinese companies are accelerating the development of AI-powered BCIs, moving beyond laboratory trials toward practical real-world applications. Firms in China are combining neural implants with advanced AI algorithms to help people with paralysis regain abilities such as walking, speaking, and controlling digital devices. Start-ups and research groups are increasingly competing with Western companies such as Neuralink, while benefiting from strong state support, expanding clinical testing, and growing investment in neurotechnology infrastructure.

China’s approach focuses not only on the implant hardware itself, but on AI systems capable of decoding and interpreting brain signals more efficiently. Researchers believe this integration could accelerate rehabilitation technologies and improve communication tools for patients with neurological disorders. However, the rapid expansion of the sector also raises concerns regarding safety, regulation, transparency, and long-term ethical oversight, especially as these systems transition from experimental environments into broader medical and commercial use.

More information:

https://www.nature.com/articles/d41586-026-01468-x?shem=dsdf,sharefoc,agadiscoversdl,,sh/x/discover/m1/4

Monkeys Navigate VR with Thought

Researchers have unveiled a new intracortical brain–computer interface (BCI) that enables macaque monkeys to navigate complex 3D virtual reality environments using only their brain activity. Developed using neural signals from multiple brain regions, including the primary motor cortex and both dorsal and ventral premotor cortices, the system significantly improves the precision and flexibility of decoding real-time movement compared to earlier BCIs. The study demonstrates how combining signals from these areas allows for more natural and continuous control in immersive digital spaces.

In experimental trials, the monkeys successfully completed navigation tasks in VR without any physical movement, relying solely on neural input. They also showed the ability to learn and improve performance over time, with the system generalizing across different tasks without requiring retraining. Researchers highlight the potential of this technology for real-world applications, particularly in assisting people with paralysis to control wheelchairs, prosthetic devices, or explore virtual environments. The findings mark an important step toward more intuitive and adaptive brain-controlled interfaces.

More information:

https://www.rdworldonline.com/new-brain-computer-interface-allows-monkeys-to-navigate-3d-virtual-reality/

Dancer Returns to Stage Using Brain-Controlled Avatar

A groundbreaking performance has demonstrated how emerging brain–computer interface technology can restore artistic expression for people living with severe neurological conditions. A ballerina diagnosed with Amyotrophic Lateral Sclerosis (ALS) has returned to the stage using a digital avatar controlled by her brainwaves. Wearing an EEG-based headset, the dancer was able to translate imagined movements into real-time digital choreography, allowing her avatar to perform alongside other dancers in a live production. The initiative highlights the growing potential of neurotechnology to bridge physical limitations and enable new forms of creative participation.

Developed through a collaboration between technology and creative teams, the system captures neural signals associated with movement intention and converts them into computer-generated motion. The project not only enabled the performer to reconnect with dance after losing muscular control, but also signals broader applications in rehabilitation, accessibility, and inclusive performance arts. Researchers and developers emphasize that such innovations could transform how individuals with mobility impairments engage with culture, offering scalable solutions that extend beyond the stage into healthcare and assistive technologies.

More information:

https://www.bbc.com/news/articles/cgqkz5lzvnwo

China Approves World’s First Commercial Brain Implant

China has approved the world’s first brain implant for commercial use, marking a major milestone in the development of brain–computer interface (BCI) technology. The device is designed primarily for people with spinal cord injuries, enabling them to regain some lost motor function, such as hand movement, by translating brain signals into commands for external devices. Unlike earlier experimental systems, this implant has moved beyond clinical trials into the market, signaling a shift from research to real-world medical application.

The approval also reflects China’s broader ambition to lead in emerging technologies, including BCIs, where it is competing with efforts in the United States and elsewhere. While technology shows promise to restore mobility and improving quality of life, it also raises important ethical and safety considerations, such as long-term effects, data privacy, and the risks of invasive procedures. Overall, the development represents both a breakthrough in assistive medicine and a significant step toward more widespread use of BCIs in the coming years.

More information:

https://www.scientificamerican.com/article/china-just-approved-its-first-brain-implant-for-commercial-use-a-world-first/

AI-Driven Brain-Adaptive Flight Simulators in Pilot Training

The Royal Netherlands Air Force is experimenting with a cutting-edge AI-driven flight simulator that tailors pilot training according to real-time brain activity. Using a brain–computer interface (BCI) developed at the Royal Netherlands Aerospace Centre; trainee fighter pilots wear electrodes that capture electrical brain signals during virtual reality missions. An AI model analyses these signals to estimate cognitive workload (whether a pilot is under-challenged or overloaded) and dynamically adjusts the difficulty of simulation tasks accordingly, rather than relying on fixed, pre-programmed lesson progressions.

Early trials involving fifteen pilots showed that while the adaptive system didn’t produce measurable improvements in flying performance compared with conventional training, participants reported a clear preference for the brain-adaptive approach, describing it as more engaging and realistic. The adaptive training aims to keep pilots in a mental sweet spot for learning, helping avoid both boredom and overwhelm. However, researchers acknowledge challenges in accurately interpreting individual brain signals, and the technology remains experimental as they work toward refining workload estimation.

More information:

https://aerospaceglobalnews.com/news/royal-netherlands-air-force-brain-reading-ai-pilot-simulators/

Direct Access to Our Brains

Recent advances in neurotechnology including wearable brain-computer interfaces (BCIs), Neuralink implants, and AI-driven neural decoding are making it possible to translate brain activity into actions, speech, images and emotions, blurring the line between human cognition and digital systems. Devices ranging from MIT’s EEG-equipped glasses to Neuralink’s implanted chips demonstrate both the medical potential of BCIs and their growing commercial interest. These systems raise profound concerns: they can decode sensitive traits, track attention and emotion, and potentially manipulate mental states, opening possibilities for misuse by companies, governments or political actors.

As the neurotech industry rapidly expands, the risks of consumer devices collecting neural data with little regulation are becoming increasingly urgent. This growing capability has triggered global debates about neural privacy, cognitive liberty, and whether new neurorights are needed. Countries such as Chile and Spain, several U.S. states, and international bodies have begun exploring legal protections for identity, agency and mental privacy. Advocates argue that traditional human rights are insufficient for technologies that can read or alter neural processes, while others warn that proliferating new rights may cause legal confusion.

More information:

https://www.nytimes.com/2025/11/14/magazine/neurotech-neuralink-rights-regulations.html

Man With Brain Implant Controls Another Person’s Hand

Researchers at the Feinstein Institutes for Medical Research and the Donald and Barbara Zucker School of Medicine at Hofstra/Northwell have demonstrated a cutting-edge BCI that allows a person with paralysis to control another person’s hand and even feel what she feels. In the experiment, a man with a spinal cord injury used implanted sensors in his motor cortex, along with AI decoding and flexible electrode patches, to send signals to another volunteer’s arm, enabling her to perform tasks such as pouring water. 

 

This inter-human neural bypass opens new possibilities for cooperative rehabilitation, where users with different degrees of mobility can work together: the paralysed man helped a woman with partial paralysis improve her hand strength, while experiencing control and touch again himself. The trial suggests that by closing both movement and sensation loops, the technology could restore more natural sensorimotor function and perhaps motivate the body to repair itself. However, the study is still limited to a small group and long-term outcomes remain to be seen.

More information:

https://singularityhub.com/2025/10/23/one-mind-two-bodies-man-with-brain-implant-controls-another-persons-hand-and-feels-what-she-feels/

BCI Finger-Level Milestone

In a first-of-its-kind achievement for EEG-based BCI researchers employed a real-time, non-invasive robotic control system that utilized movement execution and motor imagery of individual finger movements to drive corresponding robotic finger motions. Just by thinking about it, human subjects were able to successfully perform two- and three-finger control tasks.

This was accomplished with the assistance of a novel deep-learning decoding strategy and a network fine-tuning mechanism for continuous decoding from non-invasive EEG signals. The goal moving forward is to build on this work to achieve more refined finger-level tasks, for instance, typing.

More information:

https://www.nanowerk.com/news2/robotics/newsid=67128.php