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LG, Qualcomm Join Hands for Autonomous Driving

U.S. News

Their joint research will focus on developing the fifth-generation wireless technology known as 5G, which could deliver data at a much faster speed than the current wireless technology and is seen as crucial for autonomous vehicles. They will also research other wireless technologies needed for the safety of connected cars, LG said in a statement.


6 AI ingredients every wireless networking strategy needs

#artificialintelligence

Artificial intelligence is all the rage these days. There's broad consensus that AI is the next game-changing technology, poised to impact virtually every aspect of our lives in the coming years, from transportation to medical care to financial services. Gartner predicts that by 2020, AI will be pervasive in almost every new software product and service and the technology will be a top five investment priority for more than 30 percent of CIOs. An area where AI is already showing enormous value is wireless networking. The use of machine learning can transform WLANs into neural networks that simplify operations, expedite troubleshooting and provide unprecedented visibility into the user experience.


Assessing the Barriers to AI

#artificialintelligence

Artificial intelligence (AI) is the next technology to enter the hype cycle, and while it will most certainly have an effect on IT operations, the details as to how it will be implemented and how to generate a maximum return on investment are still unknown. At the moment, of course, the key challenge is overcoming the significant barriers to deployment, which include not only disruption to legacy architectures but to long-established business cultures as well. According to a recent study by Vanson Bourne on behalf of Teradata, a good 80 percent of enterprises are currently investing in AI, with telecommunications firms, professional and customer service providers and financial institutions leading the charge. While most outfits believe that the technology will produce significant ROI over the next decade, only about one-third see the need for additional investment over the next three years in order to remain competitive. At the same time, issues like the lack of advanced IT infrastructure and the need for AI-related skillsets in the workforce are seen as major barriers, as are the ever-present budgetary concerns.


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ZDNet

Qualcomm is continuing to place emphasis on the wearables segment, with senior director of Product Management for Qualcomm Atheros Pankaj Kedia telling media that the chip giant will be "doubling" its play in the market. "We have seen public announcements from some of our competitors that they are exiting the wearables space; Qualcomm is doubling our investment, because we are winning today and we intend to continue," Kedia said during the Qualcomm 4G/5G Summit in Hong Kong. Over the next two to three years, you will really see growth around all of this." Kedia said Qualcomm has a cyclical relationship in wearables market growth, increasing its investments alongside growth while in return driving the market with these investments. "Because we are investing in wearable-specific chipsets, we are able to drive market growth, and we are able to do that in a leadership fashion where a majority of wearables shipping today are based on Qualcomm," he said.


How Artificial Intelligence Will Change Decision-Making For Businesses

#artificialintelligence

From The Terminator to Blade Runner, pop culture has always leaned towards a chilling depiction of artificial intelligence (AI) and our future with AI at the helm. Recent headlines about Facebook panicking because their AI bots developed a language of their own have us hitting the alarm button once again. Should we really feel unsettled with an AI future? News flash: that future is here. If you ask Siri, the helpful assistant who magically lives inside your phone, to read text messages and emails to you, find the nearest pizza place or call your mother for you, then you've made AI a part of your everyday life.


A Guide to Designing a Data Science Project

@machinelearnbot

Recently, our team of data consultants had an awesome opportunity to present to a class of future data scientists at Galvanize Seattle. One student who came to hear our talk was Rebecca Njeri. Below, she shares tips on how to design a Data Science project. To Begin, Brainstorm Data Project Ideas To begin your data science project, you will need an idea to work on. To get started, brainstorm possible ideas that might interest you.


Huawei Mate 10 Porsche Design Edition Smartphone Has Integrated AI Tech - TechEBlog

#artificialintelligence

The Huawei Mate 10 Porsche Design Edition smartphone could be one of the sleekest yet. Featuring a dedicated Artificial Intelligence processor with machine learning, 6GB of RAM, 256GB of internal storage, a rear dual camera setup consisting of a 12-megapixel RGB and 20-megapixel monochrome modules offering f/1.6 aperture dual lenses. "Powered by AI technology, the camera takes photography to the next level, from artistic to intelligent, identifying different scenes in real time. It automatically adjusts the color, contrast, brightness and exposure to produce vibrant, sharp, perfectly framed photographs. It delivers AI-powered'bokeh' effect by shifting the focal point onto the subject of the photograph for picture-perfect portraits and selfies, and is even capable of capturing clear and sharp pictures of objects in motion," according to Design Boom.


Huawei Mate 10 hands-on: Five ways the neural processor is a game-changer

PCWorld

On the surface, there's very little to distinguish Huawei's Mate 10 and Mate 10 Pro from the Pixel 2 XL or Galaxy S8. They have the same 6-inch screens, small bezels, curved edges, and sleek design as their premium peers, but Huawei isn't trying to wow you with the Mate 10's beauty. It wants you to fall in love with its brain. And the Mate 10s have a big, beautiful one. Powered by the Kirin 970 chip, Huawei's newest flagships aren't just about speed boost and power efficiency.


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International Business Times

Huawei announced its Mate 10 series in Munich Monday, showcasing three models of the device, which features the new Kirin 970 chip. The SoC is the first on the market to introduce a dedicated NPU or Neural Network Processing Unit to enable artificial intelligence capabilities natively on the device. The Huawei Mate 10 will be available to markets including Spain, UAE, Saudi Arabia, Malaysia, Singapore and Australia in late October for €699, while the Mate 10 Pro will be available to markets including Germany, France, Italy, UAE, Saudi Arabia, Malaysia, Singapore, and Thailand in November for €799. The Porsche Design Mate 10 will also be available to select markets in mid-November for €1395. With the Mate 10 series, Huawei is promoting the transition from the smartphone to the "intelligent machine."


Huawei Mate 10 hands-on review: An artificially intelligent phone designed to think like a human

The Independent - Tech

Chinese powerhouse Huawei makes smartphones, smartwatches and the hardware that powers mobile phone networks around the world. Today, in Munich, the company revealed its latest high-end mobile, the Mate 10. Get past the branding, both of the company's name which can sound like you've sneezed (Hwah-way!), and the idea that the phone in your pocket can be considered your mate, and you find a capable, glossy handset from a manufacturer reaching its greatest level of confidence. Like Google, which recently announced its Pixel 2 handset, Huawei is betting the farm on artificial intelligence (AI) with a powerful processor, called the Kirin 970. It boasts eight cores and a neural processing unit (NPU).