Imagine a security camera that can understand and analyze the scene it's capturing. The camera can spot someone who is leaving a piece of luggage behind at an airport and issue an alert. It can identify a car being sought in connection with a crime based on its color, shape, and dented left bumper, even if the license plate has been covered up. And it can spot drivers who are texting when they should be watching the road, potentially passing on this information to law enforcement officials that can then issue a ticket. These are some of the advanced security techniques being hyped by Movidius, a chip maker specializing in artificial intelligence and computer vision.

Masayoshi Son, one of the world's most successful investors, is putting his money behind the artificial intelligence revolution. Son, the world's 82nd richest man by Forbes' reckoning, leads Softbank, a Japanese telecommunications powerhouse that also holds investments in dozens of companies. The newest in the stable is ARM Holdings, developer of the chip designs that power nearly all phones, which Softbank acquired for $32 billion this year. Those ARM chips will help spread artificial intelligence and propel the world toward the so-called singularity, Son said, speaking Tuesday at ARM's developer conference here in Santa Clara, California. The singularity is the moment futurists envision when computing progress has accelerated to the point where we no longer can predict what's next for technology or humanity.

People pass by a T-Mobile store in the Brooklyn borough of New York June 4, 2015. NEW YORK T-Mobile US Inc is the likeliest acquisition target as media companies seek a wireless partner following AT&T Inc's proposed 85.4 billion takeover of Time Warner Inc, analysts said. AT&T announced the deal late on Saturday, stoking urgency in the telecoms and media sectors, where carriers facing a saturated wireless market are looking for content to attract mobile users and producers of shows and movies are seeking digital distribution. T-Mobile took most of the wireless industry's subscriber and revenue growth in the third quarter. Its strong balance sheet and fast-growing wireless business makes it an attractive target for a pay-TV or media company, analysts said.

Hal, the Terminator and Matrix movies, Ex-Machina, and I, Robot all trade on the beloved sci-fi meme of robotized AI and the public's collective psyche when it all goes wrong: fascination and fear. After all, if machines become faster, stronger, and brighter than humanity, why wouldn't they turn on their soft, meaty, and dim creators for either enslavement or a full-on purge? Let's face it – machines are getting smarter. AlphaGo's victory over Lee Sedol at Go came 10 years earlier than predicted, before in fact humanity had worked out the exact number of possible legal Go positions (a number the size of 10170 was completed on January 20, 2016, if you're interested). In 2014, a chatbot glorying in the name of Eugene Goodstead passed the Turing Test by fooling 33 percent of judges into believing it was a 13-year-old Ukrainian boy.

LONDON--(BUSINESS WIRE)--MediaGamma has announced the launch of a new Audience Prediction product, which is set to make a major impact on the ad tech market. By applying deep learning to unique data sets, coupled with MediaGamma's unique AI Decision Support Engine, the product is set to provide players in the ecosystem with over 90% certainty about a user's interests and demographic profile. The new product will help people to navigate uncertainty to make better decisions, and a major telecoms company has already signed up. The Audience Prediction product is the latest in a broad portfolio of products created by MediaGamma (http://www.mediagamma.com/), The start-up's world-renown team of data scientists deliver bespoke real time, prediction-based data science solutions focusing on online user behaviour.

In this week's Whiteboard Walkthrough Ted Dunning, Chief Application Architect at MapR, explains in detail how to use streaming IoT sensor data from handsets and devices as well as cell tower data to detect strange anomalies. He takes us from best practices for data architecture, including the advantages of multi-master writes with MapR Streams, through analysis of the telecom data using clustering methods to discover normal and anomalous behaviors. I'd like to talk a little bit about data processing in the context of telecom. In particular, what I'll be talking about is how to extend some of the ideas that we've talked about in other videos about anomaly detection to the particular case of telecom data. This is very different than some of the other data that we've been talking about.

Futurewei Technologies Inc. (DBA Huawei R&D) is a U.S. Based branch of Huawei Technologies Co. Ltd., the leading global information and communications technology solutions provider. Established in 1988, Huawei Technologies is a private high-tech enterprise specializing in research and development, the production and marketing of communications equipment, and providing customized network solutions for telecom carriers in fixed, mobile, and data communications networks. Through our dedication to customer-centric innovation and strong partnerships, we have established end-to-end advantages in telecom networks, devices and cloud computing. We are committed to creating maximum value for telecom operators, enterprises and consumers by providing competitive solutions and services. Our products and solutions have been deployed in over 170 countries, serving more than one third of the world's population.

Google has made a strong phone debut, according to the first round of reviews. Strong enough to take on the market-leading iPhone. The 5-inch Pixel and 5.5-inch Pixel XL are the company's first pure Google-branded smartphones, with the tagline "made by Google." To date, Google has released phones under the Nexus brand, which tended to emphasize the phone's manufacturer, such as LG and Huawei, not Google. Wall Street Journal: "The Google Pixel is now the best Android smartphone you can buy," the Journal said in its review.

Bright Computing, the leading provider of hardware-agnostic cluster and cloud management software, today announced that it will be exhibiting at Huawei Connect, Paris, October 20-21, 2016. Huawei Connect, a conference for Huawei's European ICT ecosystem, focuses on business innovation and open partnerships. This year's theme is "Shape the Cloud", and policy makers, industry leaders, academics and technology elites will gather together to share, discuss and debate the future technologies and new business models that are driving the world's digital transformation. At the event, Bright Computing will showcase its latest solution, Bright for Deep Learning, which makes it easy to build an enterprise-grade deep learning environment, quickly and efficiently, enabling organizations to focus on gaining actionable insights from rich, complex data. Bright will explain how it helps to find, configure, and deploy all of the dependent pieces needed to run deep learning libraries and frameworks, in order to gain advantage from the deep learning evolution.

Updated 10-18-16: We've updated our recommendation for best Phablet (5.5 inches or greater) to the excellent Pixel XL. We haven't yet reviewed the standard-size Pixel, but one of the two is a likely candidate for best overall phone. The Android universe is teeming with options, from super-expensive flagship phones, to affordable models that make a few calculated compromises, to models expressly designed for, say, great photography. Chances are that whichever phone you buy, you'll keep it for at least two years. So choosing the best Android phone for you isn't a decision you should take lightly.