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You're listening to TED Talks Daily where we bring you new ideas to spark your curiosity every day.
I'm your host, Elise Hugh.
Scientists are getting closer and closer to giving the powers of telepathy to humans thanks to brain computer interfaces.
In his 2024 talk, researcher Chinteng Lin shows us an EEG headset that can turn silent thought into words with rather remarkable accuracy.
Check it out. How often are you frustrated by the time it takes to accurately get things in your mind into a computer?
It is even worse for people like me whose first language is not based on letters.
I live and work in Australia, but I am originally from Taiwan.
I moved to Sydney eight years ago and now run a university research centre there.
Most of us use keyboard every day to get things in our mind into the computer.
We have to learn to type.
The fact that you have to learn to do screen has been around for 60 years.
It's convenient, but it's also slow.
There are other ways to control the computers, joystick or gestures, but they are not very useful in capturing the words in your mind.
And it is worse. They are critical to communication for human beings.
The problem is about to be over because of AI.
Today, I will show you how AI can turn the speech in your mind into words on screen.
Getting from the brand to the computer efficiently is a real bottleneck for any computer application.
It has been my passion for 25 years.
Many of you or most of you have heard of brand direct communication between the brand and machine since 2004.
I developed a series of EEG headsets that do this.
But they are not new.
What is new is an interface that works in a natural way based on how our brand is working naturally.
Imagine reading words when someone is thinking, translating the brand signals into words.
Today, you will see this in action and with no imprint.
We are using AI to decode the brand signals on the top of your head and identify the biomarkers of speaking.
That means that you can send the words in your mind into the computer with wearable technology.
It's exciting, I and I believe it will open up the bottleneck of how we engage with computers.
We are making exciting progress in decoding EEG to test us.
It's natural. We have had very promising results in decoding EEG when someone is speaking aloud.
The frontier we are working on now is to decode EEG when the speech is not spoken aloud.
The words flow in your mind when you are listening to others or when you are talking to yourself or thinking.
We are well on the way to make it a reality.
I'm going to invite two of my team, Chas and Daniel, to show it to us again.
This is the first world premiere for us.
We are getting around 50 % accuracy in decoding the brand signals into words when someone is speaking silently.
He shows how it will work.
We have a collection of words that we have trained our technology with.
They are combined into sentences.
Chas will select one sentence and Daniel will read the sentence word by word silently and produce the brand signals that will be picked up by our sensors.
Our technology will decode the brand signals into words.
We pick up the brand signals with sensors and amplify and filter them to reduce the noise and get the right biomarkers.
We use AI for the task.
We use D learning to decode the brand signals into the intended words.
Then we use the large language model to make the match of the decoded words and make up for the mistakes in EEG decoding.
All of this is going on in the AI.
But for the user, the interaction is nature through source and in nature language.
We are very excited about the advances that we are making in understanding words and sentences.
Another thing that is very natural to people is looking at something that has their attention.
Imagine if you could select an item just by looking at it, not by picking it of the shell or punching a code into the vending machine.
Two years ago in a project I asked about hands -free control of the robot.
We were very excited about the robot control via visual identification of the freakers.
We are now beyond that.
We need not any freaker.
The AI is making it natural.
Daniel is going to look at the photos and select an item in his mind.
If it is working as issue, you will see the select item pop up on screen.
We use photos for this because they are very controllable.
To show that this is not all but just be into my presentation, Chas will pick up one item for Daniel to select in mind.
Please, Chas. It's a car.
It's a car. Daniel was right.
The car in his mind.
It's incorrect. It's unlucky that 30 % error rates came with us again.
Let's invite Chas Daniel to show it again.
When Daniel select an item in his mind, his brain recognizes and identifies the object and triggers his EEGs.
Our technology decodes the triggers.
We are working on our way to the technical challenges.
We will work on overcoming the interference issue.
That's why I asked the phone to be turned off.
Different people have different neural signatures which are important to decoding accuracy.
One reason I brought Daniel along here is because he can give off great neural signatures.
He can give off great neural signatures as far as our technology is concerned.
There is still cable here as well.
It is not yet very portable.
Probably one big barrier to people to use using this will be how do I turn it off?
Any one of you will have had the time.
When you are happy that people you are with don't know what you are really thinking.
There are serious privacy and issues that we will have to deal with.
I am very passionate about how important this technology can be.
One exciting point is linking the brain computer interface to available computers.
You already have computer on your head.
The brain will be a natural interface.
It is not only about controlling a computer.
The natural BCI also provides another way for people to communicate with people.
For example, it allows people who are not able to speak can communicate with others or such as when privacy or silence are required.
If your idea of nature is a lovely forest, you could wonder how natural this could be.
My answer is natural language.
It is the natural thought process that you are using.
There is no natural imprint in your body.
I am challenging you to think about what you regard as natural communication.
Turning the speech in your mind into words.
There is a standard way to finish up when talking with people, you say, just think about it.
I hope you are as excited as we are for the prospect of a future in which when you just think about something, the words in your mind appear on screen.
Thank you. That was Chin Ted Lang at TED AI Vienna in 2024.
If you're curious about TED's curation, find out more at TED .com slash curation guidelines.
And that's it for today.
TED Talks Daily is part of the TED Audio Collective.
This episode was produced and edited by our team.
Martha Estefanos, Oliver Friedman, Brian Green, Autumn Thompson and Alejandra Salazar.
It was mixed by Christopher Faizi Bogan.
Additional support from Emma Taubner and Daniela Thalerazo.
I'm Elise Hugh. I'll be back tomorrow with a fresh idea for your feed.
Thanks for listening.
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Thankfully, there's Allo Moves, the app that brings health and wellness to the comfort of your home.
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