Archive for the ‘mobile phones’ category: Page 119

Mar 7, 2016

Beauty brands hope virtual makeovers encourage shoppers to try new looks

Posted by in categories: mobile phones, virtual reality

VR latest experience in shopping.

Some beauty product retailers have turned to virtual reality technology to let customers try on products from their smartphones.

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Mar 6, 2016

The Galaxy S7‘s water resistance is tested with an underwater unboxing video

Posted by in category: mobile phones

Here’s a novel way to do an unboxing video.

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Mar 6, 2016

Flexible Glass Could Bring Back the Flip Phone

Posted by in category: mobile phones

Schott can make a sheet of glass thinner than your hair and half a kilometer long that bends, but doesn’t yet fold.

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Mar 5, 2016

Malware, Accessibility Clickjacking, Affects 65% Of Androids

Posted by in categories: cybercrime/malcode, mobile phones

To all my Android friends — new impacts revealed around Clickjacking.

Skycure co-founders Adi Sharabani and Yair Amit revealed that a new kind of malware puts a stunning 500,000,000 Android phones at risk.

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Mar 3, 2016

Ask Ray | Ethan Kurzweil debates the role of tech firms in personal privacy

Posted by in categories: business, energy, government, law enforcement, mobile phones, Ray Kurzweil

Dear readers,

My son Ethan Kurzweil — who is a partner at Bessemer Ventures Partners — tracks the future of web innovation, social and legal concerns about privacy, and start-ups who have an edge with their business or consumer applications, like team sourcing or software-as-a-service.

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Mar 2, 2016

Artificial Intelligence Risk — 12 Researchers Weigh in on the Danger’s of Smarter Machines

Posted by in categories: biotech/medical, economics, mobile phones, robotics/AI, security

A realistic article on AI — especially around AI being manipulated by others for their own gain which I have also identified as the real risks with AI.

Artificial intelligence (AI), once the seeming red-headed stepchild of the scientific community, has come a long way in the past two decades. Most of us have reconciled with the fact that we can’t live without our smartphones and Siri, and AI’s seemingly omnipotent nature has infiltrated the nearest and farthest corners of our lives, from robo-advisors on Wall Street and crime-spotting security cameras, to big data analysis by Google’s BigQuery and Watson’s entry into diagnostics in the medical field.

In many unforeseen ways, AI is helping to improve and make our lives more efficient, though the reverse degeneration of human economic and cultural structures is also a potential reality. The Future of Life Institute’s tagline sums it up in succinct fashion: “Technology is giving life the potential to flourish like never before…or to self-destruct.” Humans are the creators, but will we always have control of our revolutionary inventions?

To much of the general public, AI is AI is AI, but this is only part truth. Today, there are two primary strands of AI development — ANI (Artificial Narrow Intelligence) and AGI (Artificial General Intelligence). ANI is often termed “weak AI” and is “the expert” of the pair, using its intelligence to perform specific functions. Most of the technology with which we surround ourselves (including Siri) falls into the ANI bucket. AGI is the next generation of ANI, and it’s the type of AI behind dreams of building a machine that achieves human levels of consciousness.

Continue reading “Artificial Intelligence Risk — 12 Researchers Weigh in on the Danger’s of Smarter Machines” »

Mar 2, 2016

AT&T will start selling you cable TV over the Internet

Posted by in categories: internet, mobile phones

AT&T is going “over the top” with television.

In the fourth quarter of this year, AT&T will start selling cable-like bundles of TV to people across the country through a new app. Subscribers won’t need an AT&T wireless phone or an AT&T broadband connection at home.

It’ll be like Netflix — download the app, sign up, type in a credit card number, and start streaming a TV show.

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Mar 1, 2016

Shape-shifting tech will change work as we know it | Sean Follmer

Posted by in categories: futurism, mobile phones

What will the world look like when we move beyond the keyboard and mouse? Interaction designer Sean Follmer is building a future with machines that bring information to life under your fingers as you work with it. In this talk, check out prototypes for a 3D shape-shifting table, a phone that turns into a wristband, a deformable game controller and more that may change the way we live and work.

TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world’s leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design — plus science, business, global issues, the arts and much more.

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Feb 29, 2016

How modern technology could have solved every problem in literary history

Posted by in category: mobile phones

Your favorite classic books are really, really different with an iPhone.

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Feb 29, 2016

AI learns to predict human reactions

Posted by in categories: information science, mobile phones, robotics/AI, wearables

A team of Stanford researchers have developed a novel means of teaching artificial intelligence systems how to predict a human’s response to their actions. They’ve given their knowledge base, dubbed Augur, access to online writing community Wattpad and its archive of more than 600,000 stories. This information will enable support vector machines (basically, learning algorithms) to better predict what people do in the face of various stimuli.

“Over many millions of words, these mundane patterns [of people’s reactions] are far more common than their dramatic counterparts,” the team wrote in their study. “Characters in modern fiction turn on the lights after entering rooms; they react to compliments by blushing; they do not answer their phones when they are in meetings.”

In its initial field tests, using an Augur-powered wearable camera, the system correctly identified objects and people 91 percent of the time. It correctly predicted their next move 71 percent of the time.

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