Zhang Xu Reveals Timeline for Brain-Inspired Personal Computers Launching Early Next Year
- Published
- Source
- leaderobot.com
On October 21, during the Guangdong-Hong Kong-Macao Greater Bay Area International BCI Industry Innovation Conference, Academician Zhang Xu announced that the first batch of brain-inspired personal computers is expected to enter the market between late this year and early next year. This development signifies a significant step in the integration of neuroscience and computing technology.
The introduction of brain-inspired personal computers is crucial as it represents a convergence of various technologies, including brain-computer interfaces (BCIs) and brain-inspired computing. Zhang emphasized that these innovations are interconnected and essential for advancing both medical applications and consumer technology. The anticipated products could enhance user interaction and accessibility in computing.
Looking ahead, the Guangdong Institute of Intelligent Science and Technology is collaborating with Zhuhai Hengqin Naohu Semiconductor to develop core BCI chips, with two already taped out. The future of BCI technology, including both invasive and non-invasive applications, will be pivotal in shaping the landscape of personal computing and healthcare solutions. No further timeline was disclosed at the time of publication.
Original report
Academician Zhang Xu: Brain-Inspired Personal Computers Expected to Launch Early Next Year
leaderobot.com · LeaderobotThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
Rights concerns? Contact [email protected] with the relevant URL and details. We will review the matter and take appropriate action where warranted.
More related news
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
-
10
RobotToday Weekly October 12 – 16, 2026 RobotToday · 4 days ago
- 11
- 12
Related Suppliers
Neurocean Technologies Inc. 深圳忆海原识科技有限公司
Shenzhen developer of brain-inspired AI and dexterous manipulation robots, including a modular 25-DOF industrial-grade dexterous robot hand.
Neuraville
Pittsburgh-based neurorobotics startup founded 2020; builds FEAGI open-source AI brain framework and Neurorobotics Studio no-code robot platform.
BrainCo 浙江强脑科技有限公司
Hangzhou brain-computer interface firm founded 2015 at Harvard; makes FDA-registered bionic hands, a Revo2 dexterous hand for humanoids, and EEG wearables.
Neurolutions
US neurotech company founded 2007; developed IpsiHand, the first FDA-cleared non-invasive BCI for post-stroke upper limb motor rehabilitation.
HP Inc.
US PC and printing group whose HP SitePrint robot prints construction layouts on floors to +/-3/32 in using a robotic total station.
BeagleBoard.org Foundation
US-based nonprofit providing open-source hardware single-board computers for embedded computing, education, and robotics.
Eurobotik
Turkish robot system integrator and machine vision specialist serving white goods and automotive industries since 2013.
UW-Robotics (CN)
Seattle, Washington robotics program at UW's Allen School, spanning labs led by Dieter Fox and Maya Cakmak researching manipulation and perception.
BART Lab, Mahidol University
Thailand's first medical robotics research center at Mahidol University, founded 2004, focusing on surgical robots, rehabilitation, and integrated surgery.
DroidUp 卓艺德机器人
Shanghai humanoid robot startup building biomimetic AI companions; known for Xiaobei series and MOYA, the world's first fully biomimetic embodied-AI robot.
Verlume
Aberdeenshire maker of Halo, Charge and Orah seabed batteries with Axonn energy management, including power for resident AUV docking and charging.
Motorika USA Inc (part of Hobart Healthcare)
US subsidiary of Israel's Motorika Medical; markets ReoAmbulator and ReoGo robotic rehabilitation systems for gait and upper-limb neurological therapy.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Join the RobotToday community on LinkedIn
Daily robotics news, in-depth analysis, conference highlights, and discussions with professionals worldwide.