In 2017, I explored the various ways that human interaction was likely to change. Two years later, I shared predictions from Ray Kurzweil that included his thoughts on interacting in a world that is increasingly instrumented and machine-oriented. Ray envisions a deep transformation in the way we interact in a machine-oriented society, and that includes thought commands. The possibility of interacting with the world using our brains still feels like science fiction to most. Whether it is moving an object (like the racecar video in my earlier post) or communicating with another human brain-to-brain, it is hard to wrap our minds around that profound a change.Continue reading
I have invested considerable time exploring the tipping points in human history. When I say tipping point, I mean a fundamental change in the nature of being human. As described in my Post on the topic, there were two main tipping points in human history: from hunter-gatherer to agriculture, and agriculture to our industrial society.
This recent Article highlights the progress made in brain science, our focus on solving grand world challenges, and the critical need to continue this advancement. The article describes how a paralyzed man using only his brain signals was able to operate, maneuver, and walk in a whole-body robotic exoskeleton. This press release provides more details. The findings could advance efforts to help paralyzed patients drive computers using brain signals alone; “perhaps starting with driving wheelchairs using brain activity instead of joysticks and progressing to developing an exoskeleton for increased mobility,” says Stephan Chabardes, neurosurgeon from the CHU of Grenoble-Alpes, France.
The brain is clearly one of the next great frontiers. In this World Economic Forum Article on reading minds, we get a glimpse into the exponential progression of brain science. The author cites research published by AI experts in China, the US and Japan showing that computers can replicate what people are thinking by using functional magnetic resonance imaging (fMRI) machines that measure brain activity – linked to deep neural networks that replicate human brain functions.