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This perspective will be more intuitive. Fourier is building a data acquisition and training platform that integrates non-invasive brain-computer interfaces and humanoid robots. This wealth of data will enhance the intelligence level of GR-3. The goal is for GR-3 to accurately identify the brain intention signals of stroke patients...

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CyberRobo

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21,728 görüntüleme • 9 ay önce •via X (Twitter)

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Brain-computer interfaces (BCI) & Robotics lack large-scale datasets. Fourier Robots is developing BCI-driven robotic rehabilitation training. Imagine a stroke patient thinks of moving a hand, and the robot detects the intent to guide the motion.
0:56

Brain-computer interfaces (BCI) & Robotics lack large-scale datasets. Fourier Robots is developing BCI-driven robotic rehabilitation training. Imagine a stroke patient thinks of moving a hand, and the robot detects the intent to guide the motion.

Rohan Paul

91,380 görüntüleme • 9 ay önce

Brain-controlled exoskeletons to train humanoid robots! 🧠 Fourier just presented human tele-operators using brain control interfaces and exoskeletal arms to train humanoid robots on home tasks. The brain control interface is the interesting part. Instead of using a controller or joystick to teleoperate, the operator's movements and intentions are captured more naturally through the exoskeleton and BCI. This means the demonstrations are more fluid, more human-like, and better suited for training robots to perform delicate home tasks. Multiple tele-operators are simultaneously generating training data across multiple robots. This is how you build the dataset needed for eventual full autonomy, without waiting years for it to arrive. This might be the bridge between "robots that work in controlled environments" and "robots that work in homes." Not full autonomy right away, but trusted human intelligence operating through a robot body, getting better with every task completed. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:56

Brain-controlled exoskeletons to train humanoid robots! 🧠 Fourier just presented human tele-operators using brain control interfaces and exoskeletal arms to train humanoid robots on home tasks. The brain control interface is the interesting part. Instead of using a controller or joystick to teleoperate, the operator's movements and intentions are captured more naturally through the exoskeleton and BCI. This means the demonstrations are more fluid, more human-like, and better suited for training robots to perform delicate home tasks. Multiple tele-operators are simultaneously generating training data across multiple robots. This is how you build the dataset needed for eventual full autonomy, without waiting years for it to arrive. This might be the bridge between "robots that work in controlled environments" and "robots that work in homes." Not full autonomy right away, but trusted human intelligence operating through a robot body, getting better with every task completed. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

21,042 görüntüleme • 9 ay önce

Max Hodak (Max Hodak) is the co-founder of Neuralink and founder of Science Corporation, a company building brain-computer interfaces that can restore sight. Science has developed a tiny retinal implant that stimulates cells in the eye to help blind patients see again. More than 40 patients have already received the treatment in clinical trials, including one who recently read a full novel for the first time in over a decade. In this episode of How to Build the Future, Max joined Garry Tan to discuss how BCIs work, what it takes to engineer the brain, and why brain-computer interfaces may become one of the most important technologies of the next decade. 00:26 — The retinal chip helping blind patients see 01:51 — What brain-computer interfaces really are 03:37 — Could BCIs enhance intelligence? 05:44 — The brain’s incredible plasticity 09:23 — What it feels like to see with an implant 13:01 — Can we restore full human vision? 17:55 — Is the brain basically a computer? 24:59 — Max Hodak’s path into brain tech 28:57 — How Neuralink actually started 33:10 — How the brain represents information 39:47 — Bio-hybrid brain interfaces 44:32 — Building the company Science 51:27 — The future of BCIs and human longevity
53:20

Max Hodak (Max Hodak) is the co-founder of Neuralink and founder of Science Corporation, a company building brain-computer interfaces that can restore sight. Science has developed a tiny retinal implant that stimulates cells in the eye to help blind patients see again. More than 40 patients have already received the treatment in clinical trials, including one who recently read a full novel for the first time in over a decade. In this episode of How to Build the Future, Max joined Garry Tan to discuss how BCIs work, what it takes to engineer the brain, and why brain-computer interfaces may become one of the most important technologies of the next decade. 00:26 — The retinal chip helping blind patients see 01:51 — What brain-computer interfaces really are 03:37 — Could BCIs enhance intelligence? 05:44 — The brain’s incredible plasticity 09:23 — What it feels like to see with an implant 13:01 — Can we restore full human vision? 17:55 — Is the brain basically a computer? 24:59 — Max Hodak’s path into brain tech 28:57 — How Neuralink actually started 33:10 — How the brain represents information 39:47 — Bio-hybrid brain interfaces 44:32 — Building the company Science 51:27 — The future of BCIs and human longevity

Y Combinator

155,238 görüntüleme • 7 ay önce

Neuralink just released a major new update on how it is training brain-computer interfaces Participants have now generated more than 50,000 HOURS of unlabeled neural data Neuralink is now pretraining neural encoders on thousands of hours of each participant’s brain activity before using them for cursor control And the results are already impressive: • Calibration time dropped from ~55 minutes per week to ~10 minutes for some participants • Multiple participants set new personal BCI speed records • Three participants surpassed the previous 10.39 bits/sec benchmark • One participant reached 11.32 bits/sec — a new BCI record • Some decoders stayed strong for weeks • One decoder was still usable more than 1.5 years later The most important part is what comes next Neuralink is moving toward foundation models for BCI...systems that can learn from massive amounts of neural data and eventually generalize across people and tasks The goal is to make brain-computer interfaces faster, more stable, require less calibration and eventually work more like a general-purpose platform Neuralink is going from controlling a cursor To building an interface between the brain and computers at scale
1:43

Neuralink just released a major new update on how it is training brain-computer interfaces Participants have now generated more than 50,000 HOURS of unlabeled neural data Neuralink is now pretraining neural encoders on thousands of hours of each participant’s brain activity before using them for cursor control And the results are already impressive: • Calibration time dropped from ~55 minutes per week to ~10 minutes for some participants • Multiple participants set new personal BCI speed records • Three participants surpassed the previous 10.39 bits/sec benchmark • One participant reached 11.32 bits/sec — a new BCI record • Some decoders stayed strong for weeks • One decoder was still usable more than 1.5 years later The most important part is what comes next Neuralink is moving toward foundation models for BCI...systems that can learn from massive amounts of neural data and eventually generalize across people and tasks The goal is to make brain-computer interfaces faster, more stable, require less calibration and eventually work more like a general-purpose platform Neuralink is going from controlling a cursor To building an interface between the brain and computers at scale

X Freeze

18,574 görüntüleme • 28 gün önce

The Fourier GR-3 humanoid is hitting the stage, ditching its quiet demeanor for a dance-off with the N1! Every frame is action-packed as they synchronize high-energy moves and freestyle battles. Despite its cute exterior, the GR-3 clearly has a flexible body! 🤖💃
1:27

The Fourier GR-3 humanoid is hitting the stage, ditching its quiet demeanor for a dance-off with the N1! Every frame is action-packed as they synchronize high-energy moves and freestyle battles. Despite its cute exterior, the GR-3 clearly has a flexible body! 🤖💃

RoboHub🤖

29,445 görüntüleme • 11 ay önce

Schaeffler is bringing UK's humanoid robots from concept to factory reality. Within the next 5 years, hundreds of humanoid robots will be deployed in Schaeffler's global factories, with beta versions first implemented in 2026–2027. Schaeffler is also becoming the preferred supplier of joint actuators for the humanoid wheeled platform and is jointly exploring next-generation actuator architectures with its partner. More importantly, the two companies will collaborate deeply on data and skills: continuously accumulating real-world manufacturing data through teleoperation, synthetic data, and peripheral data acquisition robots to train AI models, enabling humanoid robots to learn faster and perform more reliably in the factory.
0:41

Schaeffler is bringing UK's humanoid robots from concept to factory reality. Within the next 5 years, hundreds of humanoid robots will be deployed in Schaeffler's global factories, with beta versions first implemented in 2026–2027. Schaeffler is also becoming the preferred supplier of joint actuators for the humanoid wheeled platform and is jointly exploring next-generation actuator architectures with its partner. More importantly, the two companies will collaborate deeply on data and skills: continuously accumulating real-world manufacturing data through teleoperation, synthetic data, and peripheral data acquisition robots to train AI models, enabling humanoid robots to learn faster and perform more reliably in the factory.

CyberRobo

19,907 görüntüleme • 9 ay önce

Neuralink’s new approach inserts ultra-thin electrode threads directly through the intact dura and into the cortex....without cutting the dura open This is a huge surgical milestone The dura is the tough protective membrane covering the brain. Normally, reaching the cortex means cutting through that layer....one of the most delicate steps in brain surgery This could make BCI surgery: • Less invasive • More precise • More repeatable • Easier to scale • Safer for future patients The participant was controlling a cursor with their thoughts within an hour of surgery, with recovery progressing as expected This is a major step toward bringing brain-computer interfaces to people who have lost the ability to move, communicate, or interact with the world normally
0:50

Neuralink’s new approach inserts ultra-thin electrode threads directly through the intact dura and into the cortex....without cutting the dura open This is a huge surgical milestone The dura is the tough protective membrane covering the brain. Normally, reaching the cortex means cutting through that layer....one of the most delicate steps in brain surgery This could make BCI surgery: • Less invasive • More precise • More repeatable • Easier to scale • Safer for future patients The participant was controlling a cursor with their thoughts within an hour of surgery, with recovery progressing as expected This is a major step toward bringing brain-computer interfaces to people who have lost the ability to move, communicate, or interact with the world normally

X Freeze

21,615 görüntüleme • 3 ay önce

Elon Musk revealed the 3 hardest challenges for humanoid robots and how Tesla is solving them There are really only three hard things for humanoid robots: - Real-world intelligence - ⁠The hand and - ⁠Scale manufacturing "I haven’t seen any demo robots that have a great hand with all the degrees of freedom of a human hand. But Optimus does have that" To reach human-level dexterity, Tesla had to design custom actuators, motors, gears, power electronics, controls, and sensors, everything from physics first principles There is no supply chain for this "From an electromechanical standpoint, the hand is more difficult than everything else combined. The human hand turns out to be quite something" This is why Optimus is on a completely different level. Tesla is solving the hardest problems from the ground up
0:55

Elon Musk revealed the 3 hardest challenges for humanoid robots and how Tesla is solving them There are really only three hard things for humanoid robots: - Real-world intelligence - ⁠The hand and - ⁠Scale manufacturing "I haven’t seen any demo robots that have a great hand with all the degrees of freedom of a human hand. But Optimus does have that" To reach human-level dexterity, Tesla had to design custom actuators, motors, gears, power electronics, controls, and sensors, everything from physics first principles There is no supply chain for this "From an electromechanical standpoint, the hand is more difficult than everything else combined. The human hand turns out to be quite something" This is why Optimus is on a completely different level. Tesla is solving the hardest problems from the ground up

X Freeze

20,796 görüntüleme • 7 ay önce

A startup called Sabi just came out of stealth with a beanie that reads your thoughts. 70,000 to 100,000 miniature EEG sensors woven into the fabric. You put it on like a winter hat and type by imagining the words. Sabi's bet is that if you throw enough sensors at the skull, you don't need to open it. They've already logged 100,000 hours of brain data from 100 volunteers to train a "brain foundation model." First product ships by the end of 2026. A baseball cap version is next. Backed by Vinod Khosla, who also wrote an early check to OpenAI. Khosla: "The biggest and baddest application of BCI is if you can talk to your computer by thinking about it. If you're going to have a billion people use BCI for access to their computers every day, it can't be invasive." The first consumer BCI won't look like a medical device, but instead like something you already own.
0:59

A startup called Sabi just came out of stealth with a beanie that reads your thoughts. 70,000 to 100,000 miniature EEG sensors woven into the fabric. You put it on like a winter hat and type by imagining the words. Sabi's bet is that if you throw enough sensors at the skull, you don't need to open it. They've already logged 100,000 hours of brain data from 100 volunteers to train a "brain foundation model." First product ships by the end of 2026. A baseball cap version is next. Backed by Vinod Khosla, who also wrote an early check to OpenAI. Khosla: "The biggest and baddest application of BCI is if you can talk to your computer by thinking about it. If you're going to have a billion people use BCI for access to their computers every day, it can't be invasive." The first consumer BCI won't look like a medical device, but instead like something you already own.

The Rundown AI

53,223 görüntüleme • 6 ay önce

Using monkey brain data to operate robotic arms! 🙉 Project Jenkins explores brain-computer interfaces by decoding neural activity into robotic movement and generating synthetic brain data from motion patterns. Using neural recordings from a macaque monkey named Jenkins, researchers developed models to decode brain signals into robotic arm movements and encode movement data into simulated neural activity. The project utilizes robotic arms and an interactive web console for real-time brain data generation from joystick inputs. The research paves the way for adaptive brain-computer interfaces by modeling brain activity more flexibly. Congrats to authors Dima Yanovsky, and Andrii Zahorodnii! 🦾
0:26

Using monkey brain data to operate robotic arms! 🙉 Project Jenkins explores brain-computer interfaces by decoding neural activity into robotic movement and generating synthetic brain data from motion patterns. Using neural recordings from a macaque monkey named Jenkins, researchers developed models to decode brain signals into robotic arm movements and encode movement data into simulated neural activity. The project utilizes robotic arms and an interactive web console for real-time brain data generation from joystick inputs. The research paves the way for adaptive brain-computer interfaces by modeling brain activity more flexibly. Congrats to authors Dima Yanovsky, and Andrii Zahorodnii! 🦾

Lukas Ziegler

21,637 görüntüleme • 1 yıl önce

This is Garissa referral hospital during yesterday's blackout. Allegedly the hospital doesn't have a power back up. This are patients on dialysis. Without power dialysis can't continue. The blood that is out of the patients body will just clot after sometime. As a nurse in the renal unit you will just watch patients die. The Machines just shut down and patients life slip away. This is where the level of bad governance has taken us to. But CS Duale instead of championing for such things, he us telling Somalis to be polygamous and give birth more so that he can get a political seat in future. Fvck you and anything you stand for.
0:25

This is Garissa referral hospital during yesterday's blackout. Allegedly the hospital doesn't have a power back up. This are patients on dialysis. Without power dialysis can't continue. The blood that is out of the patients body will just clot after sometime. As a nurse in the renal unit you will just watch patients die. The Machines just shut down and patients life slip away. This is where the level of bad governance has taken us to. But CS Duale instead of championing for such things, he us telling Somalis to be polygamous and give birth more so that he can get a political seat in future. Fvck you and anything you stand for.

Turner2😅

11,218 görüntüleme • 3 ay önce

Fourier has unveiled GR-3, "A Caring and Capable Companion." Standing at 5'4" and weighing 55 kg (121 lb), the GR-3 integrates vision, audio, and tactile sensors. With 31 distributed pressure sensors across its body, combined with expressive features such as blinking, eye tracking, and gestures, it offers friendly, engaging social interactions. This full-size "Care-bot" is designed to serve as an interactive companion with a soft-touch outer shell. Its target applications include mobility support, health monitoring, and use in rehabilitation or clinical settings.
0:52

Fourier has unveiled GR-3, "A Caring and Capable Companion." Standing at 5'4" and weighing 55 kg (121 lb), the GR-3 integrates vision, audio, and tactile sensors. With 31 distributed pressure sensors across its body, combined with expressive features such as blinking, eye tracking, and gestures, it offers friendly, engaging social interactions. This full-size "Care-bot" is designed to serve as an interactive companion with a soft-touch outer shell. Its target applications include mobility support, health monitoring, and use in rehabilitation or clinical settings.

The Humanoid Hub

40,916 görüntüleme • 1 yıl önce

While patients wait years for surgery and months to see a specialist, Wes Streeting and Keir Starmer are threatening to cut the number of NHS specialist doctor training jobs. Most people don’t realise this, but doctors can’t just become Consultants, Surgeons or GPs on their own. They have to get a speciality training job first. These jobs are controlled and capped by the Government. So when the Government talks about cutting speciality training jobs, what they are really talking about is cutting the number of future specialist doctors in this country. At a time when the NHS already doesn’t have enough doctors. At a time when waiting lists are in the millions. At a time when patients are waiting months just to see a specialist and years for operations. Cutting the number of specialist training jobs will not fix the NHS. It will make waiting lists longer. It will make it harder to see a doctor. It will make the NHS worse for patients. Threatening to reduce the number of future doctors while patients are already struggling to access care is not just a deliberate workforce policy decision. It is a direct threat to the NHS and to the public who rely on it, coming from a ‘Labour’ Government.
1:35

While patients wait years for surgery and months to see a specialist, Wes Streeting and Keir Starmer are threatening to cut the number of NHS specialist doctor training jobs. Most people don’t realise this, but doctors can’t just become Consultants, Surgeons or GPs on their own. They have to get a speciality training job first. These jobs are controlled and capped by the Government. So when the Government talks about cutting speciality training jobs, what they are really talking about is cutting the number of future specialist doctors in this country. At a time when the NHS already doesn’t have enough doctors. At a time when waiting lists are in the millions. At a time when patients are waiting months just to see a specialist and years for operations. Cutting the number of specialist training jobs will not fix the NHS. It will make waiting lists longer. It will make it harder to see a doctor. It will make the NHS worse for patients. Threatening to reduce the number of future doctors while patients are already struggling to access care is not just a deliberate workforce policy decision. It is a direct threat to the NHS and to the public who rely on it, coming from a ‘Labour’ Government.

Dr Haseena Wazir

23,143 görüntüleme • 7 ay önce