Tue, Dec 21 at 5 PM PST.
Avi Loeb, Professor of Science at Harvard University – Extraterrestrial Life: Are We the Sharpest Cookies in the Jar?
As we age, our muscles gradually become smaller, weaker and less able to heal after injury. In a new study, UPMC and University of Pittsburgh researchers pinpoint an important mediator of youthfulness in mouse muscle, a discovery that could advance muscle regeneration therapies for older people.
Published today in Nature Aging, the study demonstrates that circulating shuttles called extracellular vesicles, or EVs, deliver genetic instructions for the longevity protein known as Klotho to muscle cells. Loss of muscle function and impaired muscle repair in old mice may be driven by aged EVs, which carry fewer copies of these instructions than those in young animals.
The findings are an important advance in understanding why the capacity for muscles to regenerate dwindles with age.
To handle this, people have trained neural networks on regions where we have more complete weather data. Once trained, the system could be fed partial data and infer what the rest was likely to be. For example, the trained system can create a likely weather radar map using things like satellite cloud images and data on lightning strikes.
This is exactly the sort of thing that neural networks do well with: recognizing patterns and inferring correlations.
What drew the Rigetti team’s attention is the fact that neural networks also map well onto quantum processors. In a typical neural network, a layer of “neurons” performs operations before forwarding its results to the next layer. The network “learns” by altering the strength of the connections among units in different layers. On a quantum processor, each qubit can perform the equivalent of an operation. The qubits also share connections among themselves, and the strength of the connection can be adjusted. So, it’s possible to implement and train a neural network on a quantum processor.
Machine learning projects are much more complicated and bigger than machine learning model algorithms.
The idea of Web 3.0 has been disappointing for Elon Musk and he has referred to it as BS. The reasons are unclear but might be soon unveiled.
TL;DR Breakdown.
Web 2.0 has ensured that the informational needs are fulfilled and has also opened ways for education, finance, banking, health, and other domains. As all these are integrated into a new space, we have the opportunity to see the evolution of the web.
“Is time travel possible?”
July 7, 2021
If you can time travel, please tell Stephen Hawking we said hi.
Soar’s primary power will be battery-powered electric engines, but it will also burn liquid-hydrogen fuel to extend its range to three hours.
Apple reportedly notified several U.S. Embassy and State Department employees that their iPhones may have been targeted by an unknown assailant using state-sponsored spyware created by the controversial Israeli company NSO Group, according to multiple reports from Reuters and The Washington Post.
Researchers have discovered 14 new types of cross-site data leakage attacks against a number of modern web browsers, including Tor Browser, Mozilla Firefox, Google Chrome, Microsoft Edge, Apple Safari, and Opera, among others.
Collectively known as “XS-Leaks,” the browser bugs enable a malicious website to harvest personal data from its visitors as they interact with other websites in the background without the targets’ knowledge. The findings are the result of a comprehensive study of cross-site attacks undertaken by a group of academics from Ruhr-Universität Bochum (RUB) and Niederrhein University.
“XS-Leaks bypass the so-called same-origin policy, one of a browser’s main defences against various types of attacks,” the researchers said in a statement. “The purpose of the same-origin policy is to prevent information from being stolen from a trusted website. In the case of XS-Leaks, attackers can nevertheless recognize individual, small details of a website. If these details are tied to personal data, those data can be leaked.”
