The business mogul’s opening up to more ‘free speech’ on Twitter may have ruffled some feathers.
Elon Musk might have just hinted at making Tesla phones (Tesla Pi) a reality if Apple and Google were to “boot” Twitter from their app stores.
“If Apple & Google boot Twitter from their app stores, @elonmusk should produce his own smartphone,” Liz Wheeler, a video podcaster, said in a Twitter thread on Friday.
Muhammed selim korkutata / anadolu agency/getty images.
The business mogul’s opening up to more “free speech” on Twitter may have ruffled some feathers, and the tech world is a buzz with rumors surrounding Twitter’s future in the Apple and Google app stores.
Do you want your gadgets to be faster? What if your phone can cut the time it takes to. complete tasks? Or your computer can compute way faster? Most of us do, but with the. state of current technology, the truth is, they aren’t likely to get much faster than they. are! For the past decade and a half, the clock rate of single processor cores has stalled. at a few Gigahertz, and it is getting harder to push the boundaries of the famous. Moore’s law! However, a new invention by IBM may change all of that! What are optical. circuits, how do they work, and how will they make your devices faster? Join us as we. dive into the new optical circuit that surpasses every CPU known to humans!
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Secure communications provider Wickr has announced that it will shutter its free encrypted messaging app, Wickr Me, next year.
Text messaging has been around since the dawn of cellular technology, and sparked its own unique language. But it’s time to put sending regular SMS messages out to pasture.
If you have an iPhone, you’re already on your way. iPhones (as well as iPads and Macs) use iMessage to send messages between Apple devices. It’s a data-based messaging system reliant on 3G, 4G, and Wi-Fi, rather than SMS messaging, which uses an old, outdated but universal 2G cellular network. iMessage has grown in popularity, but has left Android devices and other computers out in the dark.
That’s where other messaging services have filled a gap in the market.
A team of German and Spanish researchers from Valencia, Münster, Augsburg, Berlin and Munich have succeeded in controlling individual light quanta to an extremely high degree of precision. In Nature Communications, the researchers report how, by means of a soundwave, they switch individual photons on a chip back and forth between two outputs at gigahertz frequencies. This method, demonstrated here for the first time, can now be used for acoustic quantum technologies or complex integrated photonic networks.
Light waves and soundwaves form the technological backbone of modern communications. While glass fibers with laser light form the World Wide Web, nanoscale soundwaves on chips process signals at gigahertz frequencies for wireless transmission between smartphones, tablets or laptops. One of the most pressing questions for the future is how these technologies can be extended to quantum systems, to build up secure (i.e., tap-free) quantum communication networks.
“Light quanta or photons play a very central role in the development of quantum technologies,” says physicist Prof. Hubert Krenner, who heads the study in Münster and Augsburg. “Our team has now succeeded in generating individual photons on a chip the size of a thumbnail and then controlling them with unprecedented precision, precisely clocked by means of soundwaves,” he says.
Where does the mind end and the world begin? Is the mind locked inside its skull, sealed in with skin, or does it expand outward, merging with things and places and other minds that it thinks with? What if there are objects outside—a pen and paper, a phone—that serve the same function as parts of the brain, enabling it to calculate or remember?
In their famous 1998 paper “The Extended Mind,” philosophers Andy Clark and David J. Chalmers posed those questions and answered them provocatively: cognitive processes “ain’t all in the head.” The environment has an active role in driving cognition; cognition is sometimes made up of neural, bodily, and environmental processes.
From where he started in cognitive science in the early nineteen-eighties, taking an interest in A.I., professor Clark has moved quite far. “I was very much on the machine-functionalism side back in those days,” he says. “I thought that mind and intelligence were quite high-level abstract achievements where having the right low-level structures in place didn’t really matter.”
Each step he took, from symbolic A.I. to connectionism, from connectionism to embodied cognition, and now to predictive processing, took Clark farther away from the idea of cognition as a disembodied language and toward thinking of it as fundamentally shaped by the particular structure of its animal body, with its arms and its legs and its neuronal brain. He had come far enough that he had now to confront a question: If cognition was a deeply animal business, then how far could artificial intelligence go?
Clark knew that the roboticist Rodney Brooks had recently begun to question a core assumption of the whole A.I. project: that minds could be built of machines. Brooks speculated that one of the reasons A.I. systems and robots appeared to hit a ceiling at a certain level of complexity was that they were built of the wrong stuff—that maybe the fact that robots were not flesh made more of a difference than he’d realized.
Clark couldn’t decide what he thought about this. On the one hand, he was no longer a machine functionalist, exactly: he no longer believed that the mind was just a kind of software that could run on hardware of various sorts. On the other hand, he didn’t believe, and didn’t want to believe, that a mind could be constructed only out of soft biological tissue. He was too committed to the idea of the extended mind—to the prospect of brain-machine combinations, to the glorious cyborg future—to give it up. In a way, though, the structure of the brain itself had some of the qualities that attracted him to the extended-mind view in the first place: it was not one indivisible thing but millions of quasi-independent things, which worked seamlessly together while each had a kind of existence of its own.
Researchers at the University of California, Irvine have discovered that the safe operation of a negative pressure room—a space in a hospital or biological research laboratory designed to protect outside areas from exposure to deadly pathogens—can be disrupted by an attacker armed with little more than a smartphone.
According to UCI cyber-physical systems security experts, who shared their findings with attendees at the Association for Computing Machinery’s recent Conference on Computer and Communications Security in Los Angeles, mechanisms that control airflow in and out of biocontainment facilities can be tricked into functioning irregularly by a sound of a particular frequency, possibly tucked surreptitiously into a popular song.
“Someone could play a piece of music loaded on their smartphone or get it to transmit from a television or other audio device in or near a negative pressure room,” said senior co-author Mohammad Al Faruque, UCI professor of electrical engineering and computer science. “If that music is embedded with a tone that matches the resonant frequency of the pressure controls of one of these spaces, it could cause a malfunction and a leak of deadly microbes.”
It’s diversifying from its initial reliance on Taiwan-made chips.
Apple is diversifying its supply chain away from Taiwan as it has plans to buy some of its chips from a factory in Arizona, company CEO Tim Cook said last month at an internal meeting in Germany, according to a report by Bloomberg News.
Manufacturing A-series and M-series processors
All of the firm’s current processors are sourced from factories in Taiwan. Although Apple currently designs its own chips, the Taiwan Semiconductor Manufacturing Company (TSMC) is responsible for manufacturing the A-series and M-series processors that power the ever popular iPhones and Mac computers.
