Mark Zuckerberg says brain-reading wearables are coming, but certain functions may require implanted devices

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Facebook CEO Mark Zuckerberg makes his keynote speech during Facebook Inc’s annual F8 developers conference in San Jose, California, U.S., April 30, 2019.

 Zuckerberg said on Thursday said that he’s thinking more about brain-controlling wearable and implantable technology.

“The goal is to eventually make it so that you can think something and control something in virtual or augmented reality,” he said.

Mark Zuckerberg said on Thursday that he wants to work on brain-controlling wearable and implantable technology, and Facebook’s recent acquisition of CTRL-labs was a step in that direction.

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A map of the brain could help to guess what you’re reading

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A 3D map of how the brain responds to words could unlock new ways to understand and treat dyslexia and speech disorders.

Map-making: Researchers at UC Berkeley used functional MRI to measure nine volunteers’ brain activity (using blood flow as a proxy) as they listened to, and then read, stories from “The Moth Radio Hour,” a storytelling podcast which airs on 500 radio stations around the world. The researchers collected volunteers’ brain activity data for reading (one word at a time, to help separate the data) and listening to recordings of the same text, then matched both sets of data against time-stamped transcriptions of the stories.

Language links: The results were then fed into a computer program, which mapped out thousands of words according to their relationship to each other, using natural-language processing. For example, the “social” category includes words like “husband,” “father,” and “sister.” Different categories sparked activity in different parts of the brain: these “social” words were found on the right side, behind the ear. This area also responded most strongly to words that describe people or dramatic events, as well as words that describe time.

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Neuroscientists decode brain speech signals into written text

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Study funded by Facebook aims to improve communication with paralysed patients

The study recording brain signals sent to trigger organ movement is considered a breakthrough.

When Stephen Hawking wanted to speak, he chose letters and words from a synthesiser screen controlled by twitches of a muscle in his cheek.

But the painstaking process the cosmologist used might soon be bound for the dustbin. With a radical new approach, doctors have found a way to extract a person’s speech directly from their brain.

The breakthrough is the first to demonstrate how a person’s intention to say specific words can be gleaned from brain signals and turned into text fast enough to keep pace with natural conversation.

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Facebook is funding brain experiments to create a device that reads your mind

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Big tech firms are trying to read people’s thoughts, and no one’s ready for the consequences.

In 2017, Facebook announced that it wanted to create a headband that would let people type at a speed of 100 words per minute, just by thinking.

Now, a little over two years later, the social-media giant is revealing that it has been financing extensive university research on human volunteers.

Today, some of that research was described in a scientific paper from the University of California, San Francisco, where researchers have been developing “speech decoders” able to determine what people are trying to say by analyzing their brain signals.

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The future of brain-computer interfaces and the human machine

 

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The melding of humanity with the technology we have created has begun…

We are well on our way as Homo sapiens to becoming a species that fully merges technology with our organic bodies. In some ways, we’ve been getting at this for centuries already, beginning with the first use of eyeglasses, at the end of the thirteenth century in Italy, to improve vision by making it easy for someone to wear two magnifying lenses on the bridge of their nose.

But ever since the invention of the computer and the first human-machine interfaces were born (HMIs), a dream of many technologists has been to create direct connections between computers and the human brain. These brain-computer interfaces (BCIs) — also known as Brain-Machine Interfaces (BMIs) — would eliminate the lag inherent in the translation between thought → physical action → computer response. BCIs also allow people who cannot perform physical actions required for HMIs to bypass that real-world step and directly control powerful computer tools with the electrical impulses in their brains.

One of the dreams is that BCIs will eventually place the entire canon of human knowledge within the realm of immediate recall: No more searching the internet via typing or voice commands needed. In a near future, we will be able to think about what we need and pull whatever relevant information is available directly from a cloud and into the forefront of our minds.

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New mind-controlled robot arm first to work without brain implant

 

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Just strap on the EEG cap and start thinking.

If you want to control a robot with your mind — and really, who doesn’t? — you currently have two options.

You can get a brain implant, in which case your control over the robot will be smooth and continuous. Or you can skip the risky, expensive surgery in favor of a device that senses your brainwaves from outside your skull — but your control over the bot will be jerky and not nearly as precise.

Now, a team from Carnegie Mellon University (CMU) is narrowing the gap between those two options, creating the first noninvasive mind-controlled robot arm that exhibits the kind of smooth, continuous motion previously reserved only for systems involving brain implants — putting us one step closer to a future in which we can all use our minds to control the tech around us.

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Experimental brain-controlled hearing aid decodes, identifies who you want to hear

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Engineers develop new AI technology that amplifies correct speaker from a group; breakthrough could lead to better hearing aids

Our brains have a remarkable knack for picking out individual voices in a noisy environment, like a crowded coffee shop or a busy city street. This is something that even the most advanced hearing aids struggle to do. But now engineers are announcing an experimental technology that mimics the brain’s natural aptitude for detecting and amplifying any one voice from many.

Powered by artificial intelligence, this brain-controlled hearing aid acts as an automatic filter, monitoring wearers’ brain waves and boosting the voice they want to focus on.

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Scientists discover how to implant false memories

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Implanting false memories could cure Alzheimer’s, PTSD, and depression. It could also make scapegoating easier, allow for witness tampering, or give those under a brutal dictatorship false patriotism.

MIT researchers Steve Ramirez and Xu Liu recently made history when they successfully implanted a false memory into the mind of a mouse. The proof was a simple reaction from the rodent, but the implications are vast. They placed the furry little creature inside a metal box, and it froze, displaying a distinct fear response. The mouse was reacting as if it had received an electrical shock there, when it hadn’t at all.

What makes it more riveting is that their success was considered a long-shot. The hypothesis was that not only could they identify those neurons associated with encoding memory, but could essentially rewrite one. Experts say that this an impressive feat which helps uncover more of the mystery of how memory operates. Though neuroscientists have considered such a possibility for years, they never thought this kind of experiment could actually work.

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Brains of 3 people have been successfully connected, enabling them to share thoughts

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Neuroscientists have successfully hooked up a three-way brain connection to allow three people to share their thoughts – and in this case, play a Tetris-style game.

The team thinks this wild experiment could be scaled up to connect whole networks of people, and yes, it’s as weird as it sounds.

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Scientists have connected the brains of 3 people, enabling them to share thoughts

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Are you thinking what I’m thinking?

Neuroscientists have successfully hooked up a three-way brain connection to allow three people share their thoughts – and in this case, play a Tetris-style game. The team thinks this wild experiment could be scaled up to connect whole networks of people, and yes, it’s as weird as it sounds.

It works through a combination of electroencephalograms (EEGs), for recording the electrical impulses that indicate brain activity, and transcranial magnetic stimulation (TMS), where neurons are stimulated using magnetic fields

The researchers behind the new system have dubbed it BrainNet, and say it could eventually be used to connect many different minds together, even across the web.

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Five emerging technology trends that will blur the lines between human and machine

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The 35 must-watch technologies represented on the Gartner Inc. Hype Cycle for Emerging Technologies, 2018 revealed five distinct emerging technology trends that will blur the lines between humans and machines. Emerging technologies, such as artificial intelligence (AI), play a critical role in enabling companies to be ubiquitous, always available, and connected to business ecosystems to survive in the near future.

“Business and technology leaders will continue to face rapidly accelerating technology innovation that will profoundly impact the way they engage with their workforce, collaborate with their partners, and create products and services for their customers,” said Mike J. Walker, research vice president at Gartner. “CIOs and technology leaders should always be scanning the market along with assessing and piloting emerging technologies to identify new business opportunities with high impact potential and strategic relevance for their business.”

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No more secrets! New mind-reading machine can translate your thoughts and display them as text INSTANTLY

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Researchers say they have developed a machine that can translate our thoughts

The astonishing machine will analyse what you are thinking and display it as text

Scientists hope that the machine can be used by people who are unable to speak

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