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Machine learning - What Innovation Will Bring To The AI World

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The world of high-tech innovation can change the destiny of industries seemingly overnight. Now we are on the cusp of a new grand leap thanks to the decomcratization of machine learning and artificial intelligence already underway, according to this opinion piece by Kartik Hosanagar (@khosanagar), Wharton professor of operations, information and decisions, and a cofounder of Yodle Inc., and, Apoorv Saxena (@apoorvsaxena1), a product manager at Google and co-chair of the recent AI Frontiers conference. Last month, at the CloudNext conference in San Francisco, Google announced its acquisition of Kaggle, an online community for data scientists and machine-learning competitions. Although the move may seem far removed from Google's core businesses, it speaks to the skyrocketing industry interest in machine learning (ML). Kaggle not only gives Google access to a talented community of data scientists, but also one of the largest repository of datasets that will help train the next generation of machine-learning algorithms.


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 .


Accenture Combines AI And IoT To Build Technology That Serves Humans

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Global technology major Accenture is looking to use the power of combination of the best technologies in the world to build solutions that are unique for their clients. "Accenture is like a glue organisation," says Marc Carrel-Billiard, global managing director -Technology R&D, Accenture. Accenture's technology R&D division is working towards combining different technologies wherein Artificial intelligence (AI) and Internet of Things (IoT) are at the core of it. Their engineers are combining AI with deep learning and machine learning to interpret the large amounts of data being generated from the 20 billion connected devices today. "So, if you combine all the data coming from the sensors with all the computing power, machine learning...we have the best of both worlds.


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.


Artificial intelligence is now Intel's major focus

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At the forefront of these AI ambitions is a new platform called Nervana, which follows Intel's acquisition of deep-learning startup Nervana Systems earlier this year. Setting its sights on an area currently dominated by Nvidia's graphics processing unit (GPU) technology, one of the Nervana platform's main focuses will be deep learning and training neural networks – the software process behind machine learning that is based on a set of algorithms that attempt to model high-level abstractions in data. Google, for instance, is investing heavily in research exploring virtually all aspects of machine learning, including deep learning and more classical algorithms, something it calls "Machine Intelligence". One way is in manufacturing, as intelligent computer systems replace certain human-operated jobs.


The Business Of HPC Is Evolving

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With most of the year finished and a new one coming up fast, and a slew of new compute and networking technologies ramping for the past year and more on the horizon for a very exciting 2017, now is the natural time to take stock of what has happened in the HPC business and what is expected to happen in the coming years. The theme of the SC16 supercomputing conference this year is that HPC matters, and of course, we have all known this since the first such machines were distinct from enterprise-class electronic computers back in the 1960s. HPC not only matters, but the growing consensus at the conference is that HPC will possibly be returning to its roots as a sector for innovation and specialization to solve very specific and computational intensive and complex problems. We could be seeing the waning of the Era of General Purpose HPC even as the simulation, modeling, analytics, and machine learning workloads that comprise modern HPC continue to evolve at a rapid pace. It takes money to make HPC happen, and HPC also makes money happen, and it is supposed to be a virtuous cycle where more innovation in HPC systems drives more innovation in product design and various kinds of simulation such as weather forecasting or particle physics or cosmology, just to name a few.


Exploring the Artificially Intelligent Future of Finance

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Exploring the Artificially Intelligent Future of Finance With technological enhancements increasing computing power and decreasing its cost, easing access to big data and innovating algorithms, there has been a huge surge in interest of artificial intelligence, machine learning and its subset, deep learning, in recent years. What have been the leading factors enabling recent advancements and uptake of deep learning? Yuanyuan: Customer experience could be significantly improved using AI by analyzing individual level attributes to make traditional service much more tailor-made. Alesis: One of the main challenges for start-ups when applying Machine Learning specifically to financial services is educating the customers on the importance of data and access to it.


Staff Engineer - Artificial Intelligence/siliconarmada.com

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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 .


Principal Scientist - Artificial Intelligence Lead/siliconarmada.com

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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. Work on world class cutting-edge technologies in related fields, including but not limited to the following: Affective Computing, Machine Learning, Computer Vision, Human Robot Interaction, Deep Learning. Build up collaborative relationship and set up collaborative projects with industry partners and top tier academia research institutes Initiate and participate in technology conversations with distinguished scholars and industry leaders Qualifications Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field 10 years R&D experiences in relevant fields Strong publication records in relevant fields (patents, top conferences and journals) Solid professional and state-of-the-art knowledge in Human- Robot Interaction Affective Computing Machine learning theory and platforms (such as supervised/unsupervised learning, transfer learning, reinforcement learning) Deep learning theory and platforms Strong research and innovation skills and ability to solve difficult vision and learning problems Hands-on experience in machine learning/artificial intelligent (in robotics applications preferred) Excellent communication and teamwork skills Flexibility and adaptability to work in a growing, dynamic team Preferred industrial experience in leading research projects and teams Futurewei Technology Inc. is proud to be an Equal Opportunity Employer .


AI-powered robo adviser takes aim at the richest clients

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It's another step in the march toward advice that erodes investors' needs for human help: A robo adviser focused on serving the high-net-worth client, powered by artificial intelligence and designed to automate their specific tax management concerns. The technology differs from other AI-enhanced wealth management tools, adds Kane, whose platform has started offering advanced features for its clients, such as providing loans as an asset class. "[Other] AI is built for a robo adviser client, [but] Hedgeable's AI is built for a private banking client," he says, adding that Katana's goal is to provide live financial planning and alerts, estate and trust services, and eventually full family office and legal functionality. To that point, Kane sees AI rapidly spreading across wealth management, as the technology has already found a footing in the banking industry.