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Sundar Pichai Sees Google's Future in the Smartest Cloud

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In other words, he hopes the new chip and the new service will set Google's cloud business apart from services offered by its main rivals, including Amazon and Microsoft, the unnamed competitive threat underlying his I/O keynote. Between its two AI labs--Google Brain, based at company headquarters in Silicon Valley, and DeepMind, a London AI startup Google purchased a little more than three years ago--Google is leading the new wave of artificial intelligence research and development so rapidly changing entire industries and economies. But the company believes cloud computing--where computing power is rented over the internet to businesses and software developers--could one day bring in far more. Google built its new chip as a better way of serving its own AI services, most notably Google Translate, says Jeff Dean, the uber-engineer who oversees Google Brain, the company's main AI lab.


Silicon Armada - Tech Jobs for Tech People

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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. Solid background and state-of-the-art knowledge in machine learning or artificial intelligent methods, such as supervised/unsupervised learning, transfer learning, reinforcement learning 5 years' experience with one or more of the following areas: Human- Robot Interaction Affective Computing Machine Learning Artificial Intelligence Deep learning Computer Vision Robot Perception and Manipulation Practical knowledge and hands-on experience in machine learning, artificial intelligence in computer vision or robotics related applications Strong research and problem solving skills Excellent communication and teamwork skills Futurewei Technology Inc. is proud to be an Equal Opportunity Employer .


The 2016 tech job market reveals 2017 tech trends, says Indeed - TechRepublic

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It can be tricky to predict trends, but job search site Indeed thinks it has the answer. Its team put together information from job postings and site searches going all the way back to 2014. IoT is following in a close second place and it's obvious why: Data gathered by IoT devices is best sorted and organized using machine learning techniques. There hasn't been any movement in the number of searches for cloud computing jobs--a good sign that the industry is saturated.


The death of the statistician

@machinelearnbot

Given that in general, algorithmic (and ML) approaches to extracting information could be more easily iterated into smaller chunks than the production of a robust statistical model, naturally industry was quick to adopt the idea. Someone who is sufficiently trained in statistics *should* be able to answer questions like that clearly, as statistical work includes developing an expertise in the subject under study. With the introduction of new data architectures (column based, streaming, batch/file-based, direct I/O) and the exponential increase in power of computer hardware (cloud computing, GPU computing, RAM speeds, solid-state storage, CPU capacity, etc. PMML helped create model portability, computing algorithms began to leverage GPU processing, multiple CPU threads, and manage memory better.


Intel To Duke It Out With Nvidia In The Coprocessor Market

Forbes

In our previous analysis, we discussed how Intel is competing with Nvidia in the data center coprocessor market. These computational capabilities make GPUs ideally suited for use as coprocessors in High Performance Computing environments. It is worth noting that GPUs have a parallel architecture with hundreds of cores, making it highly suited for matrix and vector operations in both deep learning and 3D computer graphics. Currently, it is debatable as to which one – Intel's Xeon Phi processor family (formerly code-named Knightsbridge) or Nvidia's Tesla processors – is better in terms of performance.


Evernote Said It Will Read Customer Notes to Improve Machine Learning

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In a corporate blog post published this week, the company said it's updating the terms of its privacy policy to include a change that lets its employees access user notes to improve its machine-learning technologies. It's unclear if Evernote updated its privacy policy in light of the company's recent decision to move its corporate infrastructure--which includes its customer data--to Google's goog cloud computing service. In September, Evernote chief technology officer Anirbin Kundu told Fortune's Barb Darrow that Google's machine-learning technology services were a big draw to the company selecting Google from other cloud computing companies that he did not name. "Many people put travel itineraries, and we can notify you if your flight is delayed," Kundu said at the time regarding how Evernote planned to use Google's goog machine learning tools.


The AI-First Cloud: Can artificial intelligence power the next generation of cloud computing?

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Cloud Machine Learning (ML) Platforms: Technologies like Azure Machine Learning, AWS Machine Learning and the upcoming Google Cloud Machine Learning enable the creation of machine learning models using a specific technology. AI Cloud Services: Technologies like IBM Watson, Microsoft Cognitive Services, Google Cloud Vision or Natural Language APIs enable abstract complex AI or cognitive computing capabilities via simple API calls. Cloud Machine Learning (ML) Platforms: Technologies like Azure Machine Learning, AWS Machine Learning and the upcoming Google Cloud Machine Learning enable the creation of machine learning models using a specific technology. AI Cloud Services: Technologies like IBM Watson, Microsoft Cognitive Services, Google Cloud Vision or Natural Language APIs enable abstract complex AI or cognitive computing capabilities via simple API calls.


Beyond Moore's Law: Human-plus-machine computing

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Tend claims'world's first' hardware-agnostic cloud platform for industrial robots A startup company in the US, founded by a group of computer and artificial intelligence experts, claims to have launched the world's first cloud robotics platform which can be made to work with any industrial robot or device. It's just a handful of jobs in that particular department, but… Tags: artificial, intelligence, will, innovation, development, machines, cognitive, computing, marketing Art created with Google DeepDream neural networks to feature in exhibition Artists who have been experimenting with Google's DeepDream source code – designed for visualisation using artificial intelligence techniques – are to display their work at an art exhibition. Entitled DeepDream: The Art of Neural Networks, all the artworks in the exhibition are made using artificial neural networks, which are "a biologically… Tags: neural, artificial, software, learning, computing, intelligence, algorithms, will, human Tend claims'world's first' hardware-agnostic cloud platform for industrial robots A startup company in the US, founded by a group of computer and artificial intelligence experts, claims to have launched the world's first cloud robotics platform which can be made to work with any industrial robot or device. It's just a handful of jobs in that particular department, but… Tags: artificial, intelligence, will, innovation, development, machines, cognitive, computing, marketing Art created with Google DeepDream neural networks to feature in exhibition Artists who have been experimenting with Google's DeepDream source code – designed for visualisation using artificial intelligence techniques – are to display their work at an art exhibition.


Google, Facebook, and Microsoft Are Remaking Themselves Around AI

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Intel Looks to a New Chip to Power the Coming Age of AI Giant Corporations Are Hoarding the World's AI Talent OpenAI Joins Microsoft on the Cloud's Next Big Front: Chips Facebook Manages to Squeeze an AI Into Its Mobile App Giant Corporations Are Hoarding the World's AI Talent Giant Corporations Are Hoarding the World's AI Talent Alongside a former Stanford researcher--Jia Li, who more recently ran research for the social networking service Snapchat--the China-born Fei-Fei will lead a team inside Google's cloud computing operation, building online services that any coder or company can use to build their own AI. And in recent weeks, Microsoft reorganized much of its operation around its existing machine learning work, creating a new AI and research group under executive vice president Harry Shum, who began his career as a computer vision researcher. This came just weeks after Amazon hired a notable Carnegie Mellon researcher to run its own cloud computing group for AI--and just a day after Microsoft formally unveiled new services for building "chatbots" and announced a deal to provide GPU services to OpenAI, the AI lab established by Tesla founder Elon Musk and Y Combinator president Sam Altman. As it revealed last spring, Google is now running internal classes in the art of deep learning, and Facebook offers machine learning instruction to all engineers inside the company alongside a formal program that allows employees to become full-time AI researchers.


[video] An Era of #Docker & #Kubernetes @CloudExpo #DevOps #CD #AI #IoT

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With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA. Join Cloud Expo / @ThingsExpo conference chair Roger Strukhoff (@IoT2040), June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 20th Cloud Expo / @ThingsExpo June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track. The upcoming 20th International @CloudExpo @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA announces that its Call For Papers for speaking opportunities is open.