Source – techxplore.com Researchers from the Universitat Autonoma de Barcelona and Carnegie Mellon University have developed a technique that could allow deep learning algorithms to learn the visual features of images in a self-supervised fashion, without the need for annotations by human researchers. To achieve remarkable results in computer vision tasks, deep learning algorithms need to Read More

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Source – bgr.in Today, Artificial Intelligence (AI) and Machine Learning (ML) are two popular terms that tech companies cannot stop talking about. Everyone from Google and Microsoft to Apple, Samsung and Amazon are going big on AI. Besides smartphones, smart speakers, voice assistants, apps, connected cars, security surveillance, healthcare and customer support are other areas where AI is used. Machine Read More

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Source – phys.org Understanding how a robot will react under different conditions is essential to guaranteeing its safe operation. But how do you know what will break a robot without actually damaging it? A new method developed by scientists at the Institute of Science and Technology Austria (IST Austria) and the Max Planck Institute for Intelligent Read More

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Source – zdnet.com Google on Tuesday detailed a new suite of marketing tools that taps into the company’s vast repertoire of machine learning technology. Overall, the tools are aimed at helping marketers create more effective and optimized ads — but there’s a noticeable element of anti-Amazon underlining some of the key products. Namely, Google’s new Local Campaigns service. Read More

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Source – which-50.com Artificial intelligence (AI) and machine learning are variously portrayed as the future of our workplaces or the death of employment as we know it. Somewhere between those two extremes lies the reality. These emerging technologies will be core parts not just of technology strategies, but of how we deliver services across our businesses. Read More

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Source – analyticsindiamag.com This is the time when a strong Computer Science background is highly-recommended for budding Machine Learning practitioners. In fact, students are closing the statistics gap with online programs as well. So is it time Indian universities start offering a major in machine learning? ML jobs are booming in India — recent example being Read More

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Source – .c4isrnet.com As artificial intelligence advances there has been an increased push to incorporate it into defense technology. Recently, the Department of Defense ordered the creation of the Joint Artificial Intelligence Center, which will be a hub for AI research. The JAIC is not the first attempt to incorporate AI into the DoD, however. Project Maven, Read More

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Source – eurekalert.org There are limits to how accurately you can measure things. Think of an X-ray image: it is likely quite blurry and something only an expert physician can interpret properly. The contrast between different tissues is rather poor but could be improved by longer exposure times, higher intensity, or by taking several images and Read More

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Source – hcanews.com When a patient is in the intensive care unit (ICU), every second counts. And the decisions healthcare professionals make can have life-or-death consequences. Gal Salomon, MBA, is intimately involved in those decisions, working hard each day to ensure patients get the right treatment at the right time, every time. But Salomon is not Read More

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Source – analyticsinsight.net Big data, artificial intelligence and machine learning are ruling the tech structure of most industries.  We all know how Amazon combines a customer’s historical data and other customers’ data to power recommendations. Likewise, for Google, it’s not difficult to predict our preferences and interests. They make use of big data, analytics and machine Read More

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Source – theverge.com Experts around the world are getting increasingly worried about new AI tools that make it easier than ever to edit images and videos — especially with social media’s power to share shocking content quickly and without fact-checking. Some of those tools are being developed by Adobe, but the company is also working on an antidote Read More

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Source – hindustantimes.com Facebook is turning to machine-learning technologies to amplify the impact of human fact-checkers reviewing hoax news articles, as part of the company’s efforts to combat the spread of misinformation on its platform. The social network announced Thursday it was starting to use automated systems to identify duplicates of fake news articles previously flagged by Read More

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Source  – financialexpress.com All of us have heard about driverless cars, automated machines, bots and virtual assistants, even if we don’t fully understand what these terms mean. All of these are manifestations of self-learning algorithms, smart technologies such as Artificial Intelligence (AI) and Machine Learning (ML). The application of these technologies is no longer just limited Read More

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Source – eurekalert.org A major challenge in current climate prediction models is how to accurately represent clouds and their atmospheric heating and moistening. This challenge is behind the wide spread in climate prediction. Yet accurate predictions of global warming in response to increased greenhouse gas concentrations are essential for policy-makers (e.g. the Paris climate agreement). In Read More

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Source – forbes.com Regardless of industry, it seems that nearly every business is asking the same question nowadays: How can artificial intelligence help us? Google Trends data shows that searches for “machine learning” — a common application of AI that enables machines to process and learn from data inputs — have skyrocketed over the last several years. It’s Read More

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Source – itproportal.com The research paper, entitled “Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features”, will be presented by Matteo Pagliardini. Pagliardini is a senior machine learning engineer at Iprova and one of the three scientists that authored the research paper and developed the new model for unsupervised training, Sent2Vec. The other authors are Prakhar Read More

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Source – forbes.com Bottom line: Machine learning makes it possible to discover patterns in supply chain data by relying on algorithms that quickly pinpoint the most influential factors to a supply networks’ success, while constantly learning in the process. Discovering new patterns in supply chain data has the potential to revolutionize any business. Machine learning algorithms are Read More

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Source – entrepreneur.com Bots are dominating online communication, and most consumers don’t even realize the number of times they have interacted with a bot while browsing their favorite website or completing an online purchase. Bot technology is far from a new concept, though, as its origins date all the way back to 1966 with the invention Read More

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Source – techcrunch.com Over the last few years, Google and Coursera have regularly teamed up to launch a number of online courses for developers and IT pros. Among those was the Machine Learning Crash course, which provides developers with an introduction to machine learning. Now, building on that, the two companies are launching a machine learning specialization on Coursera. This Read More

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Source – business.com Artificial intelligence (AI) and machine learning have a lot to offer to marketers. In addition to simplifying several mundane tasks, this technology might finally help marketers achieve relevance at scale and ensure “the most pertinent content reaches the most promising customers at the moments of greatest influence across multiple channels and markets.” Many marketers have Read More

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Source – venturebeat.com In the early days of machine learning, hiring good statisticians was the key challenge for AI projects. Now, machine learning has evolved from its early focus on statistics to more emphasis on computation. As the process of building algorithms has become simpler and the applications for AI technology have grown, human resources professionals Read More

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Source  – forbes.com Just a few short years ago, having “conversations” in human languages with machines was pretty much universally a frustratingly comedic process. Today that has changed. While natural language processing (NLP) and recognition is far from perfect, thanks to machine learning algorithms it’s getting increasingly closer to a point where it will be harder Read More

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Artificial Intelligence