Using the famous picture of a black hole captured last year, scientists measured gravity at the edge of black hole M87*.
Circa 2015
A NEW LASER sensor that monitors blood glucose levels without puncturing the skin could transform the lives of millions of diabetics by providing a pain-free way of monitoring blood glucose levels.
Summary: A patient who suffered brain injury can temporarily walk, talk, and recognize family members thanks to the sleep medication Zolpidem.
Source: Radboud University
A patient who could not move and talk spontaneously for eight years started to do so again after being administered a sleeping pill. The spectacular but temporary effect was visualized with brain scans, giving researchers from Radboud university medical center and Amsterdam UMC a better understanding of this disorder’s underlying neurophysiological processes. The article has been published in Cortex.
Summary: The ability to foster and form secure interpersonal attachments can mitigate some of the genetic risks associated with PTSD.
Source: Yale
Researchers at Yale and elsewhere previously identified a host of genetic risk factors that help explain why some veterans are especially susceptible to the debilitating symptoms of post-traumatic stress disorder (PTSD).
The next generation of the Internet will rely on revolutionary new tech. It will make unhackable networks real — and transmit information faster than the speed of light.
They can be made up of just two surfaces, bouncing the wave between them, but the more surfaces that are added, the more resonance is achieved. The ultimate is therefore to create a perfect sphere, creating surfaces in every direction within a three-dimensional object. At that point, the creation of a resonator moves from being a physics question to one of engineering, since even a stem holding the sphere can create distortion that reduces the impact of the resonator.
According to the Technion, the world’s first micro-resonator was demonstrated in the 1970s by Arthur Ashkin, winner of the 2018 Nobel Prize in Physics, who presented a floating resonator. Yet, despite the success of his innovation, the research direction was soon abandoned.
Now graduate student Jacob Kher-Alden, under the supervision of Prof. Tal Carmon, has built upon Ashkin’s work, creating a floating resonator which can exhibit resonant enhancement by ten million circulations of light, compared to about 300 circulations in Ashkin’s resonator.
Researchers have performed one of the most precise measurements yet to determine the proportion of matter in the universe.
A Future with Robots
Posted in innovation, robotics/AI
Robots of the future will be dexterous, capable of deep nuanced conversations, and fully autonomous. They are going to be indispensable to humans in the future.
Let me know in the comment section what you wish a robot could help you do…?
~ 2020s & The Future Beyond.
#Iconickelx
#artificialintelligence #Robots #AI #automation #Future #4IR #Innovation #digitaltransformation
Fourteen podcast episodes with great guests talking about a wide range of fascinating aerospace and astronomy topics, with more to come! Thanks to all my listeners and for your loyal support. Stay tuned! And follow the podcast wherever you listen to podcasts or directly at brucedorminey.podbean.com.
The first artificial neural networks weren’t abstractions inside a computer, but actual physical systems made of whirring motors and big bundles of wire. Here I’ll describe how you can build one for yourself using SnapCircuits, a kid’s electronics kit. I’ll also muse about how to build a network that works optically using a webcam. And I’ll recount what I learned talking to the artist Ralf Baecker, who built a network using strings, levers, and lead weights.
I showed the SnapCircuits network last year to John Hopfield, a Princeton University physicist who pioneered neural networks in the 1980s, and he quickly got absorbed in tweaking the system to see what he could get it to do. I was a visitor at the Institute for Advanced Study and spent hours interviewing Hopfield for my forthcoming book on physics and the mind.
The type of network that Hopfield became famous for is a bit different from the deep networks that power image recognition and other A.I. systems today. It still consists of basic computing units—“neurons”—that are wired together, so that each responds to what the others are doing. But the neurons are not arrayed into layers: There is no dedicated input, output, or intermediate stages. Instead the network is a big tangle of signals that can loop back on themselves, forming a highly dynamic system.