Scientists have succeeded in developing a piece of hardware which could pave the way for creating computers resembling the human brain. They produced a chip containing a network of artificial neurons that works with light and can imitate neurons and their synapses.
In a scientific first, neuroengineers have created a system that translates thought into intelligible, recognizable speech. This breakthrough could lead to new ways for computers to communicate directly with the brain.
After a decade of development, a million-core version of the machine that will eventually be able to simulate up to a billion neurons, The SpiNNaker supercomputer, was switched on earlier this month.
Devices that eavesdrop on neural activity can help paralyzed people command computer tablets to stream music, text friends, check the weather or surf the internet.
A professor from the University of Southern California has demonstrated the use of a brain implant to improve the human memory.
Single unmanned autonomous vehicles (UAVs) directed by joysticks, radio controllers, and mobile phones are already accomplishing a variety of useful tasks. But using multiple drones requires multiple human operators, and this presents a coordination problem.
A new brain-computer interface application that allows music to be composed by the power of thought has now been developed by scientists.
FlatScope would be implanted between the skull and cortex in order to communicate with functioning areas of the brain that can process sight and sound.
Led by the former head of DARPA and Google ATAP, Regina Dugan, Building 8 has created a way to talk to your computer with your brain.
Tech billionaire Elon Musk is announcing a new venture called Neuralink focused on linking brains to computers.
A new study could change scientists' understanding of how the brain works - and could lead to new approaches for treating neurological disorders and for developing computers that 'think' more like humans.
A clinical research publication led by Stanford University investigators has demonstrated that a brain-to-computer hookup can enable people with paralysis to type via direct brain control at the highest speeds and accuracy levels reported to date.
The system, a portable brain-machine interface, translates brain activity into simple yes or no answers to questions with around 70 percent accuracy.
A Salk Institute discovery shows that an algorithm used for the Internet is also at work in the human brain, an insight that improves our understanding of engineered and neural networks and potentially even learning disabilities.