AMA Transcript — Neuroscientist Answered Questions for Matrix Community!
Recently, we had Jackson as our guest from Neuramatrix. Jackson is a neuroscience application specialist. He answered questions about Brain Computer Interface, Metaverse, Blockchain, and Neuroscience for the Matrix Community. Here is the transcript of that amazing AMA.
Eric: Hello, Matrixians. As you all know, we started at the beginning of December and released our MATRIX 3.0 roadmap. In this roadmap, the Neuroscience is the most basic, and it is also the most important new technology to complete a direction we proposed in 3.0. I believe that everyone is full of curiosity about Brain Nerves, so we also specially asked one today: an expert in Neuroscience or Brain Nerves will specially produce this AMA. This expert is the Jackson you see in front of the camera, a very handsome boy.
Jackson: Hello everyone, I hope to be able to discuss neuroscience-related issues with you in the next time. Okay, thank you.
Eric: Thank you, thank you Jackson. Okay, then we will have a total of 8 questions today, so we will start without further ado.
First of all, thank you Jackson for taking the time to participate in our AMA this time and give us a chance to preach in our community. First of all, can I trouble Jackson to introduce himself first?
Jackson: Mainly in the research of Brain Nerves or some troubles in terms of achievements. Okay, then our company is called NeuraMatrix in English. Then our Chinese name is actually a combination of transliteration and meaning of the English name. Then we are actually a high-tech enterprise incubated by Tsinghua University, established in 2019, so our company mainly positions itself in the Brain-Computer Interface system, or in terms of technology development of neural interface systems. We hope to use our own team’s advanced integrated circuit design technology and biomaterial preparation technology to empower our Brain Science and Neuroscience frontiers.
Provide dedicated solutions for scientific research, medical treatment, and various other specific scenarios. We are committed to gathering top scientific and technological forces to continuously reshape the technological boundaries between humans and computers. Promote the upgrade and development of Brain-Computer Interface technology through our self-developed Brain-Computer Interface dedicated chip device software and systems.
Then our company has a slogan called “Connecting for Life.” It means that we hope for Brain-Computer Interface technology or Neural Interface technology to connect life.
The meaning is to connect for life that we hope that Brain-Computer Interface (BCI) technology or Neural Computer Interface technology can become the key to open the future of the metaverse and can build a human-machine interaction channel to continue the development of the incompetent human race and create a new life experience. That’s al about it, Eric.
Eric : A new life experience, that’s definitely a very innovative idea I believe we have done a lot of solid work here Just now, Jackson, you mainly introduced the company
Can you introduce your own background?
Jackson : After I joined the company, I was mainly responsible for the company’s product business and our company’s software development business Do you have any other questions about me?
Eric : For example, do you have any research or specific work on the Neuroscience?
Jackson : My main work now is focused on software algorithm and product direction. In fact, the company is a technical team, so we will cooperate to do a lot of things
Eric : OK, that’s about it for our software industry Let’s ask some technical questions.
Jackson : OK, no problem
Eric : What do you think about blockchain technology? What innovations can it bring to the brain computer interface BCI?
Jackson: OK, blockchain technology was already known to everyone about 10 years ago when Bitcoin was just launched I am relatively familiar with the software industry I am a fan of blockchain technology I think the biggest charm of blockchain technology is that it can be a relatively free community or world foundation It can be decentralized There is no big company or force to control it or own it So, as a foundation for the future world I think blockchain is a better model for the future of the world As for what it can bring to the brain computer interface (BCI)
I think these two technologies are different in different fields But it is very likely that, as I mentioned in the introduction of our company I think blockchain technology and brain computer interface technology (BCI) will be the foundation of the technology of the metaverse Or these two technologies can be combined to bring something to the virtual
world or the metaverse
Eric : This is my humble understanding Not humble, Jackson
So basically, blockchain technology and brain computer interface technology (BCI) can be the foundation of a new life experience I will ask another question next
You know that Matrix is mainly about artificial intelligence and then use artificial intelligence to drive the blockchain In 3.0, we use the Neuroscience to combine artificial intelligence
My next question is about artificial intelligence and brain computer interface (BCI) How do you think these two aspects can be combined Or what can AI bring to the technology of brain computer interface (BCI) Or how can these two complement each other?
Jackson : OK, this is a good question It is also a question that is highly valued by professionals In fact, the so-called brain computer interface or neural computer interface technology is not that mysterious It was invented about 100 years ago
For example, the signal recording equipment of the heart or brain is actually an early or primitive stage of neural or brain computer interface In the recent 10 to 20 years we have found that the collection of neural signals or the transmission or control of neural signals gradually enter the medical field that we can understand For example, we may have a treatment for Parkinson’s disease This is the field of sending or controlling neural signals And there are many other things we can see recently
For example, there is a technology of neural interface that allows paralyzed patients to manipulate some fake limbs or mechanical hands to perform some actions Or through this neural interface technology it can let paralyzed patients surf the Internet or some so-called brain or heart reading technology that allows you to know what you want to say without opening your mouth and then type the content you want to say into the computer screen and so on
So why in the recent 10 to 20 years the so-called brain reading technology or heart reading technology or some technology that uses the mind to manipulate devices has been gradually developed?
It’s because in recent years our ability to process computers and software algorithms have made considerable progress especially in model recognition which is the artificial intelligence technology you just mentioned has made a big progress The development of these technologies can assist our neural interface and combine the two to be able to collect the signals we used to know but didn’t know how to interpret and interpret them into a more effective pattern In this way, we can make the existing neural interface or brain reading technology to rejuvenate it So the arrival of artificial intelligence technology can expand the boundaries of brain reading technology and make it do more interesting things
Eric : So by using AI algorithms or algorithms we can take some data that we couldn’t grasp before and read it through AI to make the old neural interface more applicable That’s the understanding. Then I will ask the next question
Using neuroscience technology to strengthen artificial intelligence technology how can we strengthen the application of AI? What is the role of AI?
Jackson : I don’t know if I understand it right Are you asking what areas of AI development can make the neural interface more applicable?
Eric : Sorry, it’s the opposite What we just said is how AI can make the development of neuroscience Now I will say the opposite How can our neuroscience make AI strengthen its own technology or increase its training or increase the learning ability of the machine?
Jackson : Okay, there are two different directions The first direction is the direction of combining AI from the perspective of the neural interface
For example, we have some AI robots or AI models or algorithms When we put them independently on the machine what they can do is not necessarily what we humans need in our daily lives When we combine them with the neural interface they can expand the ability of humans in their daily lives I can give an example For example, the previous AI could perfectly manipulate a robot just like Alphabet But the previous AI could not help a paralyzed patient to make a perfect movement like Alphabet because our AI could not implant it on a human But last year, there was an article in EPFL that they used the technology of a neural interface to connect the human’s brain nerve and our computer outside In this case for a paralyzed patient through the AI and model recognition algorithm deployed on the computer outside they can know the intention of the brain to control the body and it can also calculate the instruction of body control to stimulate the spine to make the paralyzed patient able to get some complex movements like walking or climbing stairs This can be seen as after the neural interface and AI are combined what AI can do and what more it can do So AI itself can be seen as a translator or an automatic translator What can it do and what scenarios do we need to use the function of the translator So without the technology of neural interface the paralyzed patient cannot benefit from the development of AI model recognition technology With this technology the translator can lose the connection between the brain and spine of the paralyzed patient
After the translator the brain data can regain the connection This is the first direction I mentioned The second direction is a little bit different from the traditional neural interface technology This direction is called brain data calculation Through the study of the physiological mechanism of the nerve we can develop many chips for brain calculation The brain calculation chip can calculate more like the brain rather than the traditional computer CPU
With this kind of chip the calculation of the technology of neural network can be improved or improved In many scenarios of model recognition the calculation efficiency can be better than the traditional architecture We can imagine that in the future there is a possibility that we can connect the neural network of the machine with the human brain through neural interface In other words, the two can be a common body to complete the calculation or some tasks
I know a typical application Someone thought when we are doing some tasks that need quick response For example when we are doing some difficult tasks or combat missions What is the thing that humans are not good at doing?
It is to make my intention a very precise operation For example, when I do special-purpose flying I need to control the two planes to turn in different directions before they collide to complete a beautiful pattern What humans are good at is I know which way I should turn and I know when to turn But humans are not good at turning the direction
I know and the time of the direction into a precise mechanical operation What AI or artificial intelligence is good at is to complete a specific command and a precise operation But what AI is not good at is to judge the timing and the action pattern
For example, Tesla or other autonomous driving technology can complete a car with a specific speed, angle, or path But it may have some problems when it comes to identifying obstacles and causing some accidents What humans are good at is identifying obstacles But the braking or turning may not be as perfect as machines and often cause over-turning and side-turning If we combine these two, humans are only responsible for identifying and issuing a static command in the scene while machines are responsible for completing a precise mechanical operation In this case, we can improve the efficiency of our operation and reduce the possibility of accidents In this scenario, the combination of AI and human intelligence will be better than the two
Eric :Wow, thank you, Jackson We have talked a lot I guess our community and I need to Google more to collect more information and digest it Thank you, Jackson
Jackson : I may not have made it clear
Eric : No, you did. You have made our space of knowledge from 1 to 10
We need to do our homework and make up for the 9 This gives us a lot of space to imagine and a lot of inspiration Thank you, Jackson
I understand that AI and human intelligence can combine better to understand people and make things more efficient safer and better This is what I understood How to be a translator or a computer or a computer or a computer or a computer These are practical I believe we can do better in a new life experience
Next, I want to ask When we use AI and human intelligence will it cause some problems in privacy or ethics How to face or solve to balance these problems?
Jackson : Yes, there are problems But I feel these problems are not caused by the combination of AI and human intelligence We are in the era of the Internet or the virtual world We all need to connect with the outside world through the Internet or AI or virtual world This will cause some problems in privacy After we use AI it will not cause some problems in ethics like the Internet service held by the tech giants in the future I think the solution to solve these problems is to use the technology of the blockchain or the decentralized network as you mentioned and the encryption technology to help us to fight against the virtual world and the AI to help us to fight against the big brother
Eric : Everyone has the same idea so we can all agree Next question
In the context of the whole neuroscience research what do you think the shortcomings of AI?
You mentioned it just now Can you talk about the shortcomings of AI in the context of the neuroscience?
Jackson : In the context of the neuroscience in the context of the neuroscience in the context of the neuroscience the biggest challenge is the high demand for hardware For example we humans can’t recognize a train In this context the human recognition or a white billboard is not very efficient But if we use the current AI or neural network it needs a lot of hardware and a lot of power and a lot of early training In the process of actual work it needs a very powerful hardware and a lot of power to complete the calculation This is actually different from the general biological recognition The second point is we still think that we are still discussing the problem of the current AI The logic of AI is not very clear and they are sensitive to certain interference and they are sensitive to certain interference and they are easily defeated by some special countermeasures For example some countermeasures for model recognition may give two different results for two pictures that are basically similar to human’s The stability of AI may be the biggest difference between AI and our traditional neural recognition Our own recognition has relatively strong anti-interference or stability
But now a lot of AI is not very good The last question What can we learn from the web 3.0 based on your experience?
Jackson : OK Actually we feel that when you want to enter a new virtual world you are in fact lacking the connection with the world It is typical that if you rely on a mouse and keyboard or our typical touch screen to access the world it is very inconvenient You may only be able to access some basic information If you want to be able to communicate information through your thinking it is impossible But with the technology of neural interface you can communicate your thoughts and emotions to the virtual world or the metaverse Maybe your experience will be better than before This is my personal understanding I don’t know if it is true Eric, you are more professional in the web 3.0 or the metaverse I am an outsider So I think like this For example, the patient who is paralyzed can use the neural interface to control the outside world through his consciousness or thinking For example, if we are integrated into the virtual world of web 3.0 we definitely want to complete the interaction or control with the world I always have to pick a keyboard or a mouse So I think if you want to completely virtualize the world how to open the bridge between the virtual world and the human consciousness will be a barrier The technology of neural interface may be a key or a means to open the barrier
Eric : Jason, what we see is the communication of thoughts, information, or thinking and emotions We are in the same position We want to achieve this effect in the Matrix 3.0 I will respond to the question you just asked about the power consumption or hardware demand We also see these problems in the Matrix So when we design the whole Matrix our consensus is how to start from a positive energy perspective In the products made in 2.0 including our Manta, Manas, or Mania we hope to reduce these needs and start from a positive energy perspective to make the world a better place That’s all for today Thank you Jason for your time and for giving us a valuable lesson
Thank you Jackson
Jackson :Thank you, bye bye.
The Matrix AI Network was founded in 2017. In 2023, we enter Matrix 3.0 blending neuroscience with our previous work to realize the vision of the Matrix films.
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