Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: mobile phones – Page 235

Now, we’re hitting Terminator mode with this.

If you’re worried that artificial intelligence will take over the world now that computers are powerful enough to outsmart humans at incredibly complex games, then you’re not going to like the idea that someday computers will be able to simply build their own chips without any help from humans. That’s not the case just yet, but researchers did come up with a way to grow metal wires at a molecular level.

At the same time, this is a remarkable innovation that paves the way for a future where computers are able to create high-end chip solutions just as a plant would grow leaves, rather than having humans develop computer chips using complicated nanoengineering techniques.

DON’T MISS: iPhone 7: Everything we know so far

Researchers from IBM’s T.J. Watson Researcher Center are working to create wires that would simply assemble themselves in chips. The scientists use a flat substrate loaded with particles that encourage growth, and then add the materials they wish to grow the wire from.

Read more

You may have never heard of AMD, but you’ve almost certainly used products powered by the company’s technologies.

AMD, or Advanced Micro Devices, is one of the biggest chipmakers in the world. The 46-year-old California company makes computer chips and all the related tech needed to power applications on PCs, smartphones, tablets, and more.

On Monday, AMD surprised everyone with its newest initiative: The Sulon Q, built out of a partnership with Ontario-based Sulon Technologies.

Read more

A few weeks ago DJI unveiled its newest drone, the Phantom 4, the first craft to offer robust obstacle avoidance at a price the average consumer can afford. It relied on computer vision to power its autonomous flight, and since DJI had shown off this kind of tech before, we assumed that all the hardware on the Phantom 4 was homegrown, or backed by a giant like Intel. But today the chipmaker Movidius announced that its latest offer, the Myriad 2, was at the center of the onboard processor powering the Phantom 4’s incredible new abilities.

As it turns out this isn’t the first time Movidius has partnered with a big name to develop cutting edge technology. Back in 2014 its first chip, the Myriad 1, was revealed as the brains inside of Google’s first generation of Project Tango tablets. After a decade toiling in relative obscurity, the small 125 person company is suddenly poised to emerge as a leader at the intersection of several major markets — from drones to phones to virtual reality — which are looking for ways to enable cheap, power-efficient computer vision.

“The company was founded in late 2005, so we’ve had a long gestation,” says CEO Remi El-Ouazzane with a laugh. In its early years it found some business converting old movies into 3D, helping to shore up content offerings for the 3D TV market that never took off. In 2010 its chips were put to use as an engine for 3D rendering, but it was competing with plenty of established chip makers in that market. It wasn’t until 2013, and its partnership with Tango, that the company realized how widespread the application of computer vision could be, and focused in on optimizing for what it believed would be the next wave of devices.

Read more

The legendary hacker George Hotz, known by his nom de guerre “geohot,” who first came to public attention by hacking Apple’s (AAPL) first iPhone, spoke this morning at the South by Southwest conference about taking on Tesla’s (TSLA) self-driving car initiatives with his own garage efforts, a talk titled “I built a better self-driving car than Tesla.”

By the end of the talk, it was clear he had numerous targets, including Alphabet’s (GOOGL) self-driving car efforts, despite mighty respect for the search giant.

Hotz’s achievement, rigging up home made parts to an Acura ILX to make it self-driving, first came to prominence with an article in mid-December by Bloomberg’s Ashlee Vance.

Read more

The Defense Advanced Research Projects Agency (DARPA) is seeking techies to help fight terrorism. The US military, after spending decades in a struggle to defend itself against improvised weapons, is now inviting inventors to get explosively creative.

Whatever device this article is currently being read on, in the wrong hands, could become a weapon. Technology such as USBs, off-the-shelf software and cell phones have all been deployed against US or US-backed forces. Now the US hopes to return the favor, according to Ars Technica.

What makes fighting against improvised weapons so difficult is that they can be made from almost anything, from non-military drones to gardening tools. In its announcement, DARPA encouraged inventors to use anything from widely-available commercial technology to “highly specialized, domain-specific technology such as construction, salvage, or surveying equipment.”

Read more

Chipset maker Qualcomm Technologies has introduced a virtual reality (VR) software development kit (SDK) targeting VR-capable Android smartphone and headset makers.

The Snapdragon VR SDK offers access to optimized VR features, to simplify development and to help developers with attain improved VR performance and power efficiency with the Snapdragon 820 for Android smartphones and upcoming VR headsets.

Qualcomm will be offering the SDK in the second quarter of 2016 through the Qualcomm Developer Network.

Read more

It can be easy to take things like modern email for granted, and nothing highlights that more than this clip from the “Database,” an old tech show that aired in the 80s.

In the segment above, you can see what sending and receiving an email was like in 1984, back when you were greeted with prompts like “phone computer” and literally had to dial in using a rotary phone. These were the days when webpages were numbered and email was such a luxury that people would excitedly sign off on messages with phrases like “electronically yours.”

The network shown here is Micronet, an internet portal that Gizmodo points out was a lot like an early version of AOL. Micronet featured online games, a magazine, rudimentary message boards, news, downloadable software, and yes, even email.

Read more

Google has smartened up several of its products with a type of artificial intelligence called deep learning, which involves training neural networks on lots of data and then having them make predictions about new data. Google Maps, Google Photos, and Gmail, for example, have been enhanced with this type of technology. The next service that could see gains is Google Translate.

Well, let me back up. Part of Google Translate actually already uses deep learning. That would be the instant visual translations you can get on a mobile device when you hold up your smartphone camera to the words you want to translate. But if you use Google Translate to just translate text, you know that the service isn’t always 100 percent accurate.

In an interview at the Structure Data conference in San Francisco today, Jeff Dean, a Google senior fellow who worked on some of Google’s core search and advertising technology and is now the head of the Google Brain team that works on deep learning, said that his team has been working with Google’s translation team to scale out experiments with translation based on deep learning. Specifically, the work is based on the technology depicted in a 2014 paper entitled “Sequence to Sequence Learning with Neural Networks.”

Read more