Source – venturebeat.com As it relates to technology, the private aviation industry has been flagging lately. While some industries — health, retail, manufacturing, automotive — have adopted machine learning in recent years and used it to transform their businesses, our sector has fallen behind. What the private aviation industry specifically lacks is machine learning technology to Read More

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Source – infoworld.com There’s now a JavaScript library for executing neural networks inside a webpage, using the hardware-accelerated graphics API available in modern web browsers. Developed by a team of MIT graduate students, TensorFire can run TensorFlow-style machine learning models on any GPU, without requiring the GPU-specific middleware typically needed by machine learning libraries such as Keras-js. TensorFire is another step Read More

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Source – bgr.com Nearly a month after YouTube said it was going to combat online terrorist content on its platform, the video-sharing site said the process is going well, thanks to machines and humans alike. In an August 1 blog post, the Google-owned site said its multi-pronged approach is being aided by machine learning, where computers are Read More

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Source – financialexpress.com To build out a more elaborate personal assistant for the Messenger users, Facebook has acquired an artificial intelligence (AI) startup Ozlo that specialises in understanding text-based conversations. The four-year-old start-up claims that its virtual assistants can understand and provide answers to questions which do not have simple “yes” or “no” answers. “By joining Read More

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Source – firstpost.com Automation is bringing about changes in work choices like never before as some profiles get obsolete and new job roles make their way to cyber security, cloud and Big Data, among others, says a report. According to a recent research by Simplilearn Career Data Labs, some of the job roles that may soon go Read More

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Source – informationweek.com Artificial intelligence, machine learning, natural language processing, and other advanced analytics technologies are driving the growth of some of the most forward-looking  and admired organizations, from Amazon to Netflix to GE. This leading-edge of analytics combines big data and near real-time processing with other advanced tools to deliver the insights you need, before Read More

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Source – techtarget.com In this Q&A, Daniel Bryant, CTO at SpectoLabs and an independent technical consultant, talks about some of the challenges that come up when addressing microservices security and some of the tools and techniques you can use. Compared to more traditional architectures, what new challenges have microservices introduced in terms of security? Daniel Bryant: Read More

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Source – techtarget.com Most enterprise development teams will end up using cloud-hosted microservices. The question for most will be where to start, because picking poor candidates early will slow or even discredit microservices adoption. The best microservices use cases fall into four categories, and every enterprise should look for one or more of these for suggested early Read More

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Source – nextplatform.com For developers, deep learning systems are becoming more interactive and complex. From the building of more malleable datasets that can be iteratively augmented, to more dynamic models, to more continuous learning being built into neural networks, there is a greater need to manage the process from start to finish with lightweight tools. “New Read More

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Source – independent.co.uk Facebook has shut down two artificial intelligences that appeared to be chatting to each other in a strange language only they understood. The two chatbots came to create their own changes to English that made it easier for them to work – but which remained mysterious to the humans that supposedly look after Read More

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Source – equaltimes.org Artificial intelligence is fast changing the world. The premise that intelligent machines will perform tasks more efficiently and at a lower cost than human beings is by no means far-fetched. The challenges facing the workers of the future are multiplying before our very eyes. Some of the most vulnerable jobs in the transition Read More

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Source – financialexecutives.org Few people will dispute that organizations have more data than ever at their disposal. But actually gaining meaningful insights from that data—and transforming these insights into action—is easier said than done. The bigger challenge, however, is how to effectively navigate through this massive amount of data in search for the right data needed to provide Read More

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Source – eschoolnews.com As technology continues to evolve, it’s not surprising that apps are starting to be incorporated into daily classroom activities. With more than 80,000 apps considered ‘educational’ in Apple’s app store, educators will never have a shortage of applications to use with students while teaching various lessons. And, while most educators welcome the use of applications Read More

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Source – deccanchronicle.com The lending ecosystem around the world has been at the centre of significant changes in the last decade. From financial technology disrupting the financial services sector industry with highly efficient and cost-effective processes, to stringent regulations following the 2008 global financial crisis, the growing technological intervention has played a significant role in the Read More

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Source – yourstory.com Technology-driven automation is omnipresent and pervading our lives like never before. From robots and chatbots to virtual/augmented reality, machine learning, artificial intelligence (AI) and beyond, the physical space is littered with digital influence. The impact of increased automation is already upon us and influencing our lives in all possible ways. Up till now Read More

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Source – edsurge.com Don’t doubt it: Machine learning is hot—and getting hotter. For the past two years, public interest in building complex algorithms that automatically “learn” and improve from their own operations, or experience (rather than explicit programming) has been growing. Call it “artificial intelligence,” or (better) “machine learning.” Such work has, in fact, been going Read More

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Source – geektime.com We live in a world of chatbots. Chatbots improve human interaction with systems by giving a response based on the user input. This means chatbots are simple automated programs that can process simple user inputs and provide a meaningful output. But with time, chatbots evolved and now are impacting the industries around us. The last decade has been Read More

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Source – financialexpress.com Are we humans or data points? Over the last decade, quantification of human nature has been the primary aim of companies. Instead of understanding human nature, they have invested in simplifying it. Big data has been about extracting the minutest detail to understand consumer patterns and translate them into successful sales models. But Read More

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Source – information-age.com Synechron Inc., the global financial services consulting and technology services provider, has announced that nearly 60 financial institutions are set to implement artificial intelligence (AI) technology – with interest spanning across four continents. Currently, 57 financial institutions based in Europe, the US, Middle East and Asia are being helped to adopt AI technology by Read More

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Artificial Intelligence