Source: iflscience.com Machine learning (ML) is a method by which algorithms adapt their activity using inputted data, rather than being programmed to do so. But building and “training” these algorithms takes time, and can often ingrain human biases. To overcome these limitations, and enable further innovation in machine learning, researchers have explored the field of AutoML, whereby Read More

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Source: sciencemag.org Artificial intelligence (AI) is evolving—literally. Researchers have created software that borrows concepts from Darwinian evolution, including “survival of the fittest,” to build AI programs that improve generation after generation without human input. The program replicated decades of AI research in a matter of days, and its designers think that one day, it could Read More

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Source: analyticsinsight.net The age of traditional computers is reaching its limit. Without innovations taking place, it is difficult to move past the technology threshold. Hence it is necessary to bring major design transformation with improved performance that can change the way we view computers. The Moore’s law (named after Gordon Moore, in 1965) states that Read More

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Source: appdevelopermagazine.com Infragistics is excited to announce a major upgrade to its embedded data analytics software, Reveal. In addition to its fast, easy integration into any platform or deployment option, Reveal’s newest features address the latest trends in data analytics: predictive and advanced analytics, machine learning, R and Python scripting, big data connectors, and much more. These Read More

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Source: towardsdatascience.com Software engineering has blown up to encompass more than 1million employees in the US as of 2018 and is not forecasted to slow in growth. Next to come is the machine learning engineer, who takes an automation or decision making problem and applies cutting edge tools to it. With the pervasive nature of machine learning (particularly deep Read More

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Source: towardsdatascience.com The following is based on my observations of machine learning teams — not an academic survey of the industry. For context, I’m a contributor to Cortex, an open source platform for deploying models in production. This March, Starsky Robotics—the popular autonomous trucking startup—announced they would be shutting down. In his post-mortem, founder Stefan Seltz-Axmacher explained Read More

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Source: geospatialworld.net We are witnessing the impact of evolving technology on multiple levels: data collection, analysis, storage, output representation. The cutting-edge collection techniques can gather much more data than ever before at the fastest rates possible. Not just the same data we once obtained, but data sets that now include new metrics such as color, intensity, even temperature. LIDAR data, for Read More

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Source: somagnews.com The new fraud method of cybercriminals is frauds using artificially cloned sounds. Experts say that along with voice cloning, their voices are no longer safe. The examples presented by Vijay Balasubramaniyan from the cyber security company Pindrop at the RSA Conference show the dimensions of fraud. According to Balasubramaniyan, cyber world fraudsters can Read More

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Source: networkworld.com Cisco and Microsoft have tied together their edge-to-cloud software packages in an effort to ease the management of IoT devices. Specifically, Cisco this week said it will meld its recently announced Intelligent Edge software with Microsoft’s Azure IoT Hub.  Cisco Edge Intelligence runs on Cisco’s IoT packages and gathers data from connected devices to create logical flows Read More

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Source: solutionsreview.com Analyst house Gartner, Inc. recently released the 2020 version of its Magic Quadrant for Data Science and Machine Learning Platforms. Gartner defines this software space as enabling “expert data scientists, citizen data scientists and application developers to create, deploy and manage their own advanced analytic models.” The market is seeing rapid changeover as vendors incorporate Read More

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Source: poetsandquants.com From Wall Street trading floors to Amazon’s huge knowledge base on customer preferences to Tesla’s self-driving software to Major League Baseball’s analytics-driven front offices, Big Data—which, when connected to machine learning and/or artificial intelligence, aggregates massive datasets to analyze patterns of behavior and performance—appears to offer unlimited upside. As of 2015, information and Read More

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Source: searchdatamanagement.techtarget.com Oracle introduced new data services that expand the number of services available on its cloud platform. The marquee new service from the software giant is the Oracle Cloud Infrastructure Data Science offering — an evolved version of the DataScience.com platform that Oracle acquired in 2018. The Oracle Data Science service provides an automated 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: datacenterdynamics.com Businesses and organizations, from the likes of Netflix to the BBC, are increasingly migrating from a monolithic to a microservices architecture. Microservices are a great fit for the cloud model and provide businesses with agile and customizable software. Businesses have the opportunity to quickly develop their software and stand out in an increasingly Read More

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Source: searchapparchitecture.techtarget.com Microservices should simplify software development. In theory, we can stitch microservices together with a top layer, assembling applications out of components. The promise isn’t new, but it is worth examining. Ivar Jacobson proposed the idea of software components, like circuit-board components, in 1967. He wanted to make building software more like assembling prefabricated Read More

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Source: novuslight.com Euresys announced the availability of a new Deep Learning library: EasySegment works in unsupervised mode. After being trained with “good” images only, it can detect and segment anomalies and defects in new images. EasySegment works with any image resolution, supports data augmentation and masks, and is compatible with CPU and GPU processing. The new Read More

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Source: techerati.com Microservices represent a radical shift in how organisations approach application development The world of enterprise software development came of age with the emergence of ‘single purpose’ software applications aligned to a specific business function. It started with accounting programmes in finance, but with time, many areas such as manufacturing, supply chain and inventory Read More

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Artificial Intelligence