I started messing with computers when I was seven or eight.
Illinois State University.
Students from various disciplines gathered around a target, eyes fixed on model rockets lifted into the air by a buzzing drone. Their mission— landing the rocket safely from a 22-yard, three-second free fall.
Year 2015 face_with_colon_three
(Phys.org)—Quantum computers are inherently different from their classical counterparts because they involve quantum phenomena, such as superposition and entanglement, which do not exist in classical digital computers. But in a new paper, physicists have shown that a classical analog computer can be used to emulate a quantum computer, along with quantum superposition and entanglement, with the result that the fully classical system behaves like a true quantum computer.
Physicist Brian La Cour and electrical engineer Granville Ott at Applied Research Laboratories, The University of Texas at Austin (ARL: UT), have published a paper on the classical emulation of a quantum computer in a recent issue of The New Journal of Physics. Besides having fundamental interest, using classical systems to emulate quantum computers could have practical advantages, since such quantum emulation devices would be easier to build and more robust to decoherence compared with true quantum computers.
“We hope that this work removes some of the mystery and ‘weirdness’ associated with quantum computing by providing a concrete, classical analog,” La Cour told Phys.org. “The insights gained should help develop exciting new technology in both classical analog computing and true quantum computing.”
The challenge of measuring adult neurogenesis is difficult, but it’s not impossible. A big part of the solution is knowing what to measure and where. While this new study was performed on rats—and therefore may be a poor predictor of what we’ll see in humans—it can direct future research by showing neuroscientists where to look and what to look for.
And unlike the hard problem of consciousness, unraveling the mysteries of adult neurogenesis may have clinical applications. Better the lifecycle of neurons may reveal how neurological disorders such as Parkinson’s and Alzheimer’s disease emerge. There’s even research linking disorders such as depression and anxiety to neurogenesis activity.
This knowledge may lead to new treatments, but if not, it could also reveal a better understanding of how our lifestyles and environments support brain health and regeneration throughout human life.
Only 2% of Alzheimer’s is 100% genetic. The rest is up to your daily habits.
Up Next ► 4 ways to hack your memory https://youtu.be/SCsztDMGP7o.
People want a perfect memory. They wish that they can remember everything that they want to remember. But it doesn’t work like that.
Most people over the age of 50 think that forgetting someone’s name or forgetting why they went into the kitchen is a sign of Alzheimer’s. It isn’t. Most of our forgetfulness is perfectly normal.
If you are worried about developing Alzheimer’s or another form of dementia, some simple lifestyle modifications can help prevent it: getting enough sleep, exercising, eating a balanced diet, and managing stress.
Read the video transcript ► https://bigthink.com/videos/cognitive-decline/
A team of surgeons in New York has performed the world’s first transplant of an entire eye in a procedure widely hailed as a medical breakthrough, although it isn’t yet known whether the man will ever see through the donated eye.
The groundbreaking surgery involved removing part of the face and the whole left eye—including its blood supply and optic nerve—of a donor and grafting them onto a lineworker from Arkansas who survived a 7,200-volt electric shock in June 2021.
Aaron James, 46, suffered extensive injuries including the loss of his left eye, his dominant left arm above the elbow, his nose and lips, front teeth, left cheek area and chin.
Bryan Johnson daily routine. Cortesy of Fortune Magazine.
The video was originally included in an article published in Fortune Magazine on March 27, 2023.
The article is entitled “The strict anti-aging routine of a 45-year-old CEO who spends millions a year to be 18 again—from diet to exercise”.
You can read the entire article by clicking here: https://fortune.com/well/2023/03/19/bryan-johnson-anti-aging…-exercise/
Elon Musk is getting the Hollywood treatment. Variety reports that indie movie studio A24 has won the rights to adapt Walter Isaacson’s recent biography about the business magnate, with “Black Swan” and “Requiem for a Dream” director Darren Aronofsky slated to direct. There’s no official word on who’s playing Musk yet, though there’s plenty of wild suggestions online.
According to the report, studios were embroiled in “heated competition” for Isaacson’s latest book, which was released this September. The author’s last biography on a tech titan, Steve Jobs, was also adapted into a movie of the same name in 2015. Of course, the main attraction here is Musk, whose penchant for controversy is matched only by his enormous popularity.
Even so, with his calamitous takeover of X-formerly-Twitter, his questionable antics on the platform, and the epic fallout of his Starship rocket launch, Musk has somehow managed to shove himself further into the limelight this year, after a decade of building an already far-reaching image off the success of his companies SpaceX and Tesla. For better or worse, everyone now has an opinion on the guy.
Intel is investing heavily in Stability AI, a leading developer of open-source AI, providing the startup with an AI supercomputer powered by high-end Xeon processors and more than 4,000 Gaudi2 AI processors.
From vehicle collision avoidance to airline scheduling systems to power supply grids, many of the services we rely on are managed by computers. As these autonomous systems grow in complexity and ubiquity, so too could the ways in which they fail.
Now, MIT engineers have developed an approach that can be paired with any autonomous system, to quickly identify a range of potential failures in that system before they are deployed in the real world. What’s more, the approach can find fixes to the failures, and suggest repairs to avoid system breakdowns.
The team has shown that the approach can root out failures in a variety of simulated autonomous systems, including a small and large power grid network, an aircraft collision avoidance system, a team of rescue drones, and a robotic manipulator. In each of the systems, the new approach, in the form of an automated sampling algorithm, quickly identifies a range of likely failures as well as repairs to avoid those failures.
Two-dimensional (2D) materials, composed of a single or a few layers of atoms, are at the forefront of material science, promising revolutionary advancements in technology. These ultra-thin materials exhibit unique and exotic properties, particularly when their layers are stacked and twisted in specific ways.
This manipulation of layers can significantly alter their electronic characteristics, presenting exciting opportunities for the development of next-generation technologies such as more efficient computers and reliable electricity storage systems.
Understanding the intricate relationship between the atomic structure and electronic properties of these materials, however, poses a significant challenge. Traditional microscopy techniques struggle to capture the complete 3D atomic structure of these layered materials, especially when the layers are oriented differently or composed of light elements.
