Latest news with #BrainNet
Yahoo
5 days ago
- Health
- Yahoo
Scientists Merged 3 Human Brains by Thought Alone
"Hearst Magazines and Yahoo may earn commission or revenue on some items through these links." Here's what you'll learn when you read this story: Brain-to-brain verbal communication in humans was first accomplished in 2014 when brain-computer interfaces helped transmit a message from India to France. Since then, some progress has been made on technology that could make so-called mind-reading possible, including a device that would allow at least three people to share thoughts. While communication using only thoughts shows promise in the medical field for patients who are unable to speak, when it comes to other uses, there are still many ethical implications that need to be navigated. Mind reading has long existed in science fiction—Vulcan mind meld, anyone?—and those carnivals where alleged mind readers try to part you from your last $10 bill with a promise that they know exactly what you're thinking. But thanks to some recent scientific developments, it is now no longer the stuff of cyberpunk and magic. Back in 2014, two words were heard halfway around the world. Those words were ciao and hola. The only people who heard them were two subjects, one in India and one in France, both of whom were willing subjects for an experiment that wanted to probe into whether it was possible for one person to find out what another was thinking from 5,000 miles away. The non-invasive research merged brain-computer interfaces and computer-brain interfaces. Brain-computer interfaces allow the brain to control a device or application by analyzing and translating brain signals into digital commands, while computer-brain interfaces use a computer to influence brain activity. Wireless EEG recorded brain activity through electrodes on the subjects' heads. When the subject in India sent the message, the letters of the two words were then converted to binary code. The code was transferred to another computer before being sent to the subject in France via internet. Transmission of thoughts from one brain to another succeeded. Because the computer-brain interface used transcranial magnetic stimulation to prepare the receiver by using magnetic fields to boost electrical signals in neurons, the receiver found out when there was a message on the way. This experiment marked the first brain-to-brain verbal communication in humans and opened up a new frontier. 'We speculate that future research could explore the use of closed mind-loops in which information associated to voluntary activity from a brain area or network is captured and, after adequate external processing, used to control other brain elements in the same subject,' the researchers who ran the experiment said at the time in a study published in PLOS One. How far have we come since then? In 2019, another research team invented BrainNet, a non-invasive system that also uses EEG and transcranial magnetic stimulation and became the first multi-person brain-to-brain interface. Meant for problem-solving applications, it can accommodate three people at a time, decoding the brain signals of the two message senders with EEG before transmitting them to the receiver through an internet connection. BrainNet originally demonstrated how three people could silently work together to tackle a computer game similar to Tetris. The researchers predicted that the system could eventually be scaled to accommodate larger groups. The mechanism behind direct brain-to-brain communication, or neural interfacing, in both humans and animals was elucidated in 2021, when veterinary physiologist Ehsan Hosseini hypothesized that the weak magnetic field in one animal's brain was capable of transmitting information to another. He also suggested that cryptochromes, proteins that act as photoreceptors which help regulate circadian rhythm, can actually perceive these magnetic fields and convert them to action potentials, or ultrafast zaps of voltage across the membrane of a neuron. Other studies even claimed that the ability to pick up on weak magnetic field energy may explain telepathy and other paranormal phenomena. More recently, the neurotechnology startup Neuroba is exploring ways to integrate human consciousness with not only brain-computer interfaces, but AI and even quantum communication. They are currently trying to develop algorithms that will allow messages to be delivered more accurately. This could be a breakthrough in the medical field, with patients who are otherwise unable to speak still having the ability to communicate by using just their brains, whose messages will be analyzed and translated by a computer. Beyond medical use, ethical implications for this technology remain unclear. Neuroba also mentions that a device like an updated version of BrainNet could revolutionize the workplace by connecting thoughts during meetings and other collaborative efforts. While some are convinced that hooking up everyone's brains in a conference room would be revolutionary, there are concerns. Everyone reading each other's thoughts and thinking alike, possibly being pressured to think alike, ventures on the robotic and could possibly (brace for another Star Trek reference incoming) create another Borg. There is also the possibility of misusing neural interfacing to invade others' privacy. Ultimately, much of the field still remains unexplored, and a code of ethics will have to be established if it is to be used regularly in the future. You Might Also Like The Do's and Don'ts of Using Painter's Tape The Best Portable BBQ Grills for Cooking Anywhere Can a Smart Watch Prolong Your Life?
Yahoo
27-03-2025
- Automotive
- Yahoo
Scary AI-powered swarm robots team up to build cars faster than ever
The automotive industry is undergoing a seismic shift driven by the integration of AI-powered humanoid robots into production lines. UBTech Robotics, in collaboration with Zeekr, has pioneered a groundbreaking initiative where swarm robots work together to build cars faster and more efficiently than ever before. But is this technological advancement a leap toward innovation or a step closer to human replacement? Stay protected & informed! Get security alerts & expert tech tips – sign up for Kurt's The CyberGuy Report now. Swarm Intelligence, inspired by collective behaviors in nature, is now being applied to robotics, enabling multiple humanoid robots to collaborate seamlessly on complex tasks. UBTech's Walker S1 robots are at the forefront of this revolution, operating in Zeekr's 5G-enabled smart factory. These robots are not just individual agents but part of a networked system that communicates and works in unison. Creepy Humanoid Robot Moves Using 1,000 Eerie Artificial Muscles BrainNet framework: UBTech's proprietary BrainNet software links cloud-based and on-device intelligence to form a "super brain" for high-level decision-making and a "sub-brain" for localized control. Multimodal reasoning model: This AI engine allows robots to analyze, schedule and coordinate tasks autonomously, adapting to dynamic industrial environments. Read On The Fox News App Collaborative capabilities: From sorting and handling heavy loads to precision assembly, these robots excel in tasks requiring dexterity and real-time decision-making. Malware Steals Bank Cards And Passwords From Millions Of Devices Chinese Humanoid Robot Lands World's First Front Flip These AI-powered robots are revolutionizing car manufacturing in several key areas. Let's take a closer look at how they're changing the game. Using advanced vision-based perception and hybrid decision-making systems, Walker S1 robots optimize sorting tasks by dynamically tracking targets and sharing intelligence across the swarm. Robots face challenges like uneven load distribution and complex trajectories. UBTech's joint planning system ensures stability and efficiency by enabling robots to adjust posture and force dynamically. In delicate tasks like handling deformable materials, Walker S1 robots utilize tactile sensing and adaptive control to ensure precision without damaging components. These capabilities have already been deployed in Zeekr's factory for tasks ranging from quality inspection to vehicle assembly, showcasing unparalleled efficiency and accuracy. China Launches Facility To Train 100-Plus Humanoid Robots Simultaneously Swarm Intelligence is not just limited to automotive manufacturing. Its applications span logistics, healthcare, agriculture and more. By decentralizing decision-making and optimizing resource allocation, swarm systems promise increased scalability and adaptability across industries. While the integration of humanoid robots offers numerous benefits, such as addressing labor shortages and enhancing production efficiency, it also raises concerns about job displacement. The question remains: How do we balance technological advancement with societal impact? Experts argue that these innovations could complement human workers rather than replace them entirely. Robots can take over repetitive or hazardous tasks, allowing humans to focus on more creative and strategic roles. However, careful planning is essential to ensure a constructive transition. Subscribe To Kurt's Youtube Channel For Quick Video Tips On How To Work All Of Your Tech Devices The automotive industry is really changing, with AI-powered robots taking center stage. UBTech and Zeekr are showing us how these robots can work together to make manufacturing faster and smarter. But as we get excited about these advancements, we also need to think about how they'll affect people's jobs. Let's hope we can find a way to make robots and humans work together seamlessly, rather than one replacing the other. As AI-powered robots increasingly take on complex tasks in car manufacturing, do you think the benefits of efficiency and precision outweigh the potential risks of job displacement, or are we trading human ingenuity for machine speed? Let us know by writing us at For more of my tech tips and security alerts, subscribe to my free CyberGuy Report Newsletter by heading to Alert: Malware steals bank cards and passwords from millions of devices. Ask Kurt a question or let us know what stories you'd like us to cover. Follow Kurt on his social channels: Facebook YouTube Instagram Answers to the most-asked CyberGuy questions: What is the best way to protect your Mac, Windows, iPhone and Android devices from getting hacked? What is the best way to stay private, secure and anonymous while browsing the web? How can I get rid of robocalls with apps and data removal services? How do I remove my private data from the internet? New from Kurt: Try CyberGuy's new games (crosswords, word searches, trivia and more!) CyberGuy's exclusive coupons and deals Copyright 2025 All rights article source: Scary AI-powered swarm robots team up to build cars faster than ever
Fox News
25-03-2025
- Automotive
- Fox News
Scary AI-powered swarm robots team up to build cars faster than ever
The automotive industry is undergoing a seismic shift driven by the integration of AI-powered humanoid robots into production lines. UBTech Robotics, in collaboration with Zeekr, has pioneered a groundbreaking initiative where swarm robots work together to build cars faster and more efficiently than ever before. But is this technological advancement a leap toward innovation or a step closer to human replacement? Swarm Intelligence, inspired by collective behaviors in nature, is now being applied to robotics, enabling multiple humanoid robots to collaborate seamlessly on complex tasks. UBTech's Walker S1 robots are at the forefront of this revolution, operating in Zeekr's 5G-enabled smart factory. These robots are not just individual agents but part of a networked system that communicates and works in unison. BrainNet framework: UBTech's proprietary BrainNet software links cloud-based and on-device intelligence to form a "super brain" for high-level decision-making and a "sub-brain" for localized control. Multimodal reasoning model: This AI engine allows robots to analyze, schedule and coordinate tasks autonomously, adapting to dynamic industrial environments. Collaborative capabilities: From sorting and handling heavy loads to precision assembly, these robots excel in tasks requiring dexterity and real-time decision-making. These AI-powered robots are revolutionizing car manufacturing in several key areas. Let's take a closer look at how they're changing the game. Using advanced vision-based perception and hybrid decision-making systems, Walker S1 robots optimize sorting tasks by dynamically tracking targets and sharing intelligence across the swarm. Robots face challenges like uneven load distribution and complex trajectories. UBTech's joint planning system ensures stability and efficiency by enabling robots to adjust posture and force dynamically. In delicate tasks like handling deformable materials, Walker S1 robots utilize tactile sensing and adaptive control to ensure precision without damaging components. These capabilities have already been deployed in Zeekr's factory for tasks ranging from quality inspection to vehicle assembly, showcasing unparalleled efficiency and accuracy. Swarm Intelligence is not just limited to automotive manufacturing. Its applications span logistics, healthcare, agriculture and more. By decentralizing decision-making and optimizing resource allocation, swarm systems promise increased scalability and adaptability across industries. While the integration of humanoid robots offers numerous benefits, such as addressing labor shortages and enhancing production efficiency, it also raises concerns about job displacement. The question remains: How do we balance technological advancement with societal impact? Experts argue that these innovations could complement human workers rather than replace them entirely. Robots can take over repetitive or hazardous tasks, allowing humans to focus on more creative and strategic roles. However, careful planning is essential to ensure a constructive transition. The automotive industry is really changing, with AI-powered robots taking center stage. UBTech and Zeekr are showing us how these robots can work together to make manufacturing faster and smarter. But as we get excited about these advancements, we also need to think about how they'll affect people's jobs. Let's hope we can find a way to make robots and humans work together seamlessly, rather than one replacing the other. As AI-powered robots increasingly take on complex tasks in car manufacturing, do you think the benefits of efficiency and precision outweigh the potential risks of job displacement, or are we trading human ingenuity for machine speed? Let us know by writing us at For more of my tech tips and security alerts, subscribe to my free CyberGuy Report Newsletter by heading to Alert: Malware steals bank cards and passwords from millions of devices. Follow Kurt on his social channels: Answers to the most-asked CyberGuy questions: New from Kurt: Copyright 2025 All rights reserved.
Associated Press
03-03-2025
- Business
- Associated Press
Unleashing Swarm Intelligence: UBTECH Pioneers the World's First Multi-Humanoid Robot Collaborative Training in Multi-Task, Multi-Scenario Settings at ZEEKR
SHENZHEN, China, March 3, 2025 /CNW/ -- UBTECH has successfully conducted the world's first collaborative practical training program for humanoid robots at ZEEKR's 5G Intelligent Factory, where multiple humanoid robots seamlessly collaborated across multi-task, multi-scenario industrial environments. This initiative represents a key advancement in developing a general-purpose Swarm Intelligence system for humanoid robots, marking a major leap from single-agent autonomy to Swarm Intelligence. As industrial automation progresses, production-line tasks present new challenges for humanoid robots, particularly in multi-humanoid robot collaboration. Advancing Swarm Intelligence is a critical step in enabling humanoid robots to operate effectively at scale. UBTECH's Walker S1 humanoid robots are pioneering this shift by deploying a networked cluster to explore how advanced embodied intelligence emerges through swarm behaviors and high-frequency interaction with the physical environment. To support this, UBTECH has developed BrainNet, a software framework for humanoid robot collaboration, and introduced the Internet of Humanoids (IoH), a centralized control hub serving as a blueprint for the software and hardware implementation of Swarm Intelligence. For humanoid robots to collaborate effectively, UBTECH's BrainNet framework links cloud-device collaborative inference nodes and skill nodes, forming a super brain and an intelligent sub-brain within the Swarm Intelligence system. The super brain, powered by a large reasoning multimodal model, enables intelligent hybrid decision-making and manages complex production-line tasks. The intelligent sub-brain, based on the Transformer model, integrates cross-field fusion perception and multi-robot collaborative control to support parallel distributed learning, accelerating skill generation and transfer. These innovations allow humanoid robots to move beyond individual task execution, enabling them to collaborate flexibly at the production-line level. This ensures efficient teamwork in complex industrial environments and paves the way for the next evolution of intelligent manufacturing. To address the high-dimensional decision-making demands of complex production-line tasks, UBTECH has developed the world's first large reasoning multimodal model for humanoid robots. As the core engine of the super brain, this AI system enables the continuous self-evolution of BrainNet, unlocking the full potential of Swarm Intelligence. Currently under development using DeepSeek-R1 deep reasoning technology, the model is being engineered to process data at scale and equip humanoid robots with human-like common-sense reasoning. It allows them to break down, schedule, and coordinate tasks autonomously, optimizing multi-robot collaboration in complex industrial workflows. UBTECH's multimodal reasoning model is trained on a high-quality industrial dataset accumulated from frontline practical training with the Walker S series across multiple automotive factories. By integrating multimodal features and leveraging Retrieval-Augmented Generation (RAG) technology, the model adapts rapidly to specialized job functions, significantly improving decision-making accuracy, generalization across various workstations, and scalability for large-scale industrial deployment. UBTECH's humanoid robots have now entered Practical Training 2.0, marking their evolution from single-agent autonomy to Swarm Intelligence. At the ZEEKR 5G Intelligent Factory, dozens of Walker S1 humanoid robots have been deployed across complex production areas, including the final assembly workshop, SPS instrumentation zone, quality inspection area, and vehicle assembly station. Working in unison, these humanoid robots successfully executed collaborative sorting, collaborative handling, and precision assembly, demonstrating seamless multi-robot collaboration in real-world industrial settings. In the collaborative sorting phase, UBTECH's Walker S1 humanoid robots utilize cross-field pure vision-based perception technology and intelligent hybrid decision-making to optimize sorting tasks. Using pure vision-based cross-field perception, the robots continuously track dynamic targets across environments, enabling swarm collaboration through collective mapping and shared intelligence. The intelligent hybrid decision-making system, powered by a large reasoning multimodal model, integrates semantic VSLAM navigation and dexterous manipulation capabilities. This allows for dynamic task allocation between the cloud-based and on-device brain nodes, supporting a cloud-device collaborative decision-making process for Swarm Intelligence. In collaborative handling, humanoid robots may face significant challenges, including uneven load distribution, complex trajectory planning, and dynamic environmental adaptation. To address these, UBTECH has developed a joint planning and control system, enabling multi-robot collaboration in trajectory planning, load identification, and compliant control. This ensures robots dynamically adjust their posture and force during handling, significantly enhancing stability and efficiency when transporting large, heavy workpieces. In precision assembly process, Walker S1 robots demonstrate exceptional dexterous manipulation capabilities, particularly in handling deformable objects. When working with small and deformable film materials, Walker S1 utilizes high-precision sensing and adaptive control technologies to dynamically adjust its grasping force and posture. This ensures film objects remain undamaged and properly aligned throughout the assembly process. This innovation highlights the flexibility and reliability of UBTECH's humanoid robot, which is equipped with dexterous robotic hands with tactile sensing for complex industrial applications. Additionally, Walker S1 integrates vision-based global initial positioning with force-based secondary positioning via reinforcement learning to execute precision operation-based quality inspection tasks with unmatched accuracy and adaptability. UBTECH collaborates with leading industry players, including Dongfeng Liuzhou Motor, Geely Auto, FAW-Volkswagen Qingdao, Audi FAW, BYD, BAIC New Energy, Foxconn, and SF Express. The company's Walker S series humanoid robots are now deployed in more automotive factories worldwide than any other humanoid robot, having successfully completed the first phase of single-agent autonomous intelligence training. With the launch of Practical Training 2.0, UBTECH is accelerating its multi-humanoid robot collaborative training and AI model development to drive product and technology innovation. Beyond Geely Auto, UBTECH is expanding deployment to additional partner factories, further reinforcing the scalable adoption of humanoid robots in industrial applications.
