Source: aithority.com Align Capital Partners announced the closing of a third strategic add-on for its utility intelligence platform E Source. TROVE Predictive Data Science is a leading provider of predictive analytics solutions for the utility industry. TROVE’s talented team of data scientists and engineers have developed artificial intelligence software to help clients make better, data-driven decisions Read More

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Source: greenbiz.com “Big data.” “Artificial intelligence.” “Supply chain.” These buzzwords are fast becoming a part of our everyday lexicon. And because they’re bandied about so much, it’s worth taking a closer look at each of them and their role in shaping more responsible consumption. Consumerism isn’t going away — and we don’t believe it needs Read More

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Source: dqindia.com The next step in industrial technology is about robotics, computers and equipment becoming connected to the Internet of Things (IoT) and enhanced by machine learning algorithms. Industry 4.0 has the potential to be a powerful driver of economic growth, predicted to add between $500 billion- $1.5 trillion in value to the global economy Read More

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Source: cio.com Oracle Wednesday staked its claim in the data science platform space with the availability of the Oracle Cloud Data Science Platform. The platform, built on the foundation of DataScience.com acquired by Oracle in 2018, is geared for teams of data scientists working collaboratively. Its capabilities include shared projects, model catalogs, team security policies, Read More

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Source: rtinsights.com Smart thermostats have been around for a while, but researchers at Swiss federal laboratory Empa have gone one step further, adding machine learning to the heating control systems. Initial results, (which will be published along with other findings next month), are promising, with the AI control system providing greater comfort and lower energy costs. Read More

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Source: venturebeat.com Optical sensors such as cameras and lidar are a fundamental part of modern robotics platforms, but they suffer from a common flaw: transparent objects like glass containers tend to confuse them. That’s because most of the algorithms analyzing data from those sensors assume all surfaces are Lambertian, or that they reflect light evenly Read More

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Source: techcrunch.com The worlds of artificial intelligence and cybersecurity have become deeply entwined in recent years, as organizations work to keep up with — and ideally block — increasingly sophisticated malicious hackers. Today, a startup that’s built a deep learning solution that it claims can both identify and stop even viruses that have yet to Read More

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Source: colombogazette.com Govipola, the cloud-based mobile app designed to facilitate direct selling platforms for fruit and vegetable farmers—a move aimed at cutting out middlemen and containing food inflation in Sri Lanka, will run on Microsoft Azure, a collection of cloud-based services for building reliable, scalable, and maintainable applications. The platform lowers the total cost of Read More

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Source: searchapparchitecture.techtarget.com Microservices architecture became popular for its ability to create applications that are flexibly scalable, resilient and independently deployable. But despite the on-paper benefits, not all organizations will gain much from microservices adoption, due to the inherent operational complexity of these architectures. That’s what makes it important to make the transition to microservices a Read More

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Source: analyticsindiamag.com A team at NYU and Modl.ai have posited in their recent work, that simple image processing techniques (listed below) can improve the generalisation in deep reinforcement learning systems.  RL systems are typically trained on gaming platforms which are test beds for teaching agents new tasks through visual cues. By exploiting the field of views of Read More

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Source: moderndiplomacy.eu Artificial intelligence and automated decision making processes can pose certain threats to consumers. Find out how the European Parliament wants to protect them. What is artificial intelligence and why can it be dangerous? As learning algorithms can process data sets with precision and speed beyond human capacity, artificial intelligence (AI) applications have become Read More

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Source: aithority.com Tickeron, an artificial and human intelligence platform delivering unparalleled trading insights and analysis, announces its AI-driven feature generating instant historic and predictive analysis by precalculating the odds of success for self-directed investors and investment advisors. Tickeron is a subscription-based market intelligence platform giving access to the latest trading news and AI-generated predictions. This Read More

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Source: sg.channelasia.tech Microsoft has released DeepSpeed, a new deep learning optimisation library for PyTorch, that is designed to reduce memory use and train models with better parallelism on existing hardware. According to a Microsoft Research blog post announcing the new framework, DeepSpeed improves PyTorch model training through a memory optimisation technology that increases the number of possible parameters Read More

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Source: securityboulevard.com Tufin today announced the availability of Tufin SecureCloud, which combines two existing offerings to manage cybersecurity policies for both monolithic applications and emerging microservices-based application environments. Company CTO Reuven Harrison said rather than moving forward with separate products, previously known as Tufin Orca and Tufin Iris, Tufin is aiming to appease IT organizations Read More

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Source: helpnetsecurity.com ZeroFOX, the leading provider of public attack surface protection, announced it has extended its artificial intelligence (AI) powered platform to now include advanced protection capabilities to solve intractable challenges in the cloud email security market and complement existing email security. The ZeroFOX Advanced Email Protection suite includes capabilities that address Business Email Compromise Read More

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Source: venturebeat.com In reinforcement learning, the goal generally is to spur an AI-driven agent to complete tasks via systems of rewards. This is achieved either by learning a mapping (a policy) from states to actions that maximize an expected return (policy gradients), or by inferring such a mapping by calculating the expected return for a given Read More

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Source: ksusentinel.com Kennesaw State Professor of computer science Dr. Dan Lo and his team of students created a program last semester to data mine Chinese social media sites in partnership with the U.S. Embassy in Beijing, China. Lo said the program retrieves and deciphers posts on popular Chinese social media outlets like Weibo and WeChat. Lo’s team Read More

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Source: analyticsinsight.net Deep learning which is also termed as hierarchical learning or deep structured learning uses a layered algorithmic architecture to analyze data. Its peculiarity helps organizations and researchers achieve the unachievable in a most innovative manner. Recently, researchers at the University of Eastern Finland developed a new deep learning model that can identify sleep stages Read More

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Source: infoworld.com Microsoft has released DeepSpeed, a new deep learning optimization library for PyTorch, that is designed to reduce memory use and train models with better parallelism on existing hardware. According to a Microsoft Research blog post announcing the new framework, DeepSpeed improves PyTorch model training through a memory optimization technology that increases the number of possible parameters Read More

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Source: e27.co CEOs are confronted daily with the speed of technology evolution, under pressure to transform organisations to ensure they stay competitive, relevant and prepared for the next wave of change. Business leaders are also challenged to be informed about new technology and resources and to determine the best for their organisations. All while also Read More

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Source: zdnet.com Artificial intelligence has to go in new directions if it’s to realize the machine equivalent of common sense, and three of its most prominent proponents are in violent agreement about exactly how to do that. Yoshua Bengio of Canada’s MILA institute, Geoffrey Hinton of the University of Toronto, and Yann LeCun of Facebook, who Read More

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Source: plasticstoday.com Differentiation is the name of the game when marketing products to consumers.  Differentiation’s mandatory companion is performance. Both of these are driven by creative individuals who use the latest technological tools to create viable, commercial packages that will deliver desired attributes all the way to their expiration date. However, there is room for Read More

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Artificial Intelligence