Neuromorphic computing represents an exciting crossover between technology and biology, a frontier where computer science meets the mysteries of the human brain. Designed to mimic the way humans process information, this technology holds the promise to stir a revolution everywhere, from artificial intelligence to robotics. But what exactly is neuromorphic computing and why is it taking the center stage?
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MIT scientists train shape-shifting, slimy robots that can seamlessly squeeze through narrow spaces by contorting their bodies on command.
Researchers have tested a range of neuroprosthetic devices, from wheelchairs to robots to advanced limbs, that work with their users to intelligently perform tasks.
They work by decoding brain signals to determine the actions their users want to take, and then use advanced robotics to do the work of the spinal cord in orchestrating the movements. The use of shared control — new to neuroprostheses — “empowers users to perform complex tasks,” says José del R. Millán, who presented the new work at the Cognitive Neuroscience Society (CNS) conference in San Francisco today.
Millán, of the Swiss Federal Institute of Technology in Lausanne, Switzerland, began working on “brain-computer interfaces” (BCIs), designing devices that use people’s own brain activity to restore hand grasping and locomotion, or provide mobility via wheelchairs or telepresence robots, using people’s own brain activity.
The world is at a critical juncture where the choices we make regarding AI, education, healthcare, and decentralized systems will determine whether we move towards a future of chaos and despair or one of abundance and higher consciousness Questions to inspire discussion What is the potential future of AI? —The speaker.
AiM’s MRI robot successful in trial:
A recent cadaver trial demonstrated the success of AiM’s MRI-guided robot in deep brain stimulation, marking a milestone in neurosurgery.
“These are things that are superhuman, and we think this will be in every industry, will probably replace 50% of human jobs, create a huge amount of wealth for mankind and wipe out poverty,” https://www.cnbc.com/2017/04/27/kai-fu-lee-robots-will-repla…jobs.html” rel=“noopener” class=””>Lee told CNBC at the time, later forecasting that it would happen in the next 10 years.
Fast forward seven years to the Fortune Innovation forum in Hong Kong this past March, when he sat down with Fortune editor-in-chief Alyson Shontell.
With the timeline of his prediction just three years away, she asked him if it still holds, and he replied, “It’s actually uncannily accurate. People have criticized me for being too aggressive in 2017, 2018, 2019, and I was a little nervous at the time. But when gen AI came out, I think everybody’s on the bandwagon and believing that is the correct pace.”
