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Source: cxotoday.com Deep learning, a subset of machine learning and artificial intelligence (AI), has been there since a while, but became an overnight “sensation” when in 2016, Google’s AI program, a robot player beat human grandmaster Lee Seedol in the famed game of AlphaGo . Since then, deep learning training and learning methods became widely acknowledged for Read More

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Source: OctoML is charging ahead with its machine learning deployment software and on Friday announced a $15 million investment round to help support growth. The Seattle startup spun out of the University of Washington this past July, when it raised a $3.9 million seed round. Founded by a group of computer science experts, the company aims to Read More

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Source: DataRobot, the leader in enterprise AI, announced enhancements to its enterprise AI platform, including AI Applications, Automated Deep Learning, and Visual AI. These new introductions further unlock the value of AI by putting the power of AI into the hands of more users and making it simpler to build and deploy deep learning models. “Subject Read More

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Source: fortune.com One of the most promising approaches to artificial intelligence is to try to mimic how the human brain works in software. But now an Australian startup has gone a step further. It’s actually building miniature disembodied brains, using real, biological neurons embedded on a specialized computer chip. Cortical Labs, based in Melbourne, is hoping Read More

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Source: forbes.com This past week, NVIDIA announced an update to its Deep Learning Super Sampling technology, aptly dubbed DLSS 2.0. If you recall, DLSS originally a launched alongside the company’s Turning-based GeForce RTX series graphics cards in the fall of 2018, and this latest iteration improves the technology in a number of meaningful ways, that benefit Read More

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Source: securityintelligence.com Technologies like artificial intelligence (AI) and neural networks are driven by deep learning — machine learning algorithms that get “smarter” with more data. The deepfake, a severe cybersecurity threat, wouldn’t be possible without deep learning. Deepfakes aside, we need to be aware that several machine learning models, including state-of-the-art neural networks, are vulnerable to Read More

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Source: pandaily.com Beijing based AI startup Megvii announced today that it will open source its deep learning framework MegEngine. The open sourced framework will allow global developers to create AI solutions for industrial and commercial scenarios and foster an ecosystem around Megvii’s new generation AI productivity platform, Brain++. Initially developed in 2014 and now in Read More

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Source: techxplore.com To effectively interact with their surrounding environment, robots should be able to identify characteristics of different objects just by touching them, like humans do. This would allow them to get hold of and manage objects more efficiently, using feedback gathered by sensors to adjust their grasp and manipulation strategies. With this in mind, Read More

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Source: unite.ai Researchers from Cornell University have created a computer algorithm inspired by the mammalian olfactory system. Scientists have long sought out explanations of how mammals learn and identify smells. The new algorithm provides insight into the workings of the brain, and applying it to a computer chip allows it to quickly and reliably learn Read More

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Source: inc42.com The last decade of tech was to a large part defined by the advent of Deep Supervised Learning (DL). The availability of cheap data at scale, computational power, and researcher interest have made it the de-facto school of algorithms used for most pattern recognition problems. Face recognition on social media, product recommendations on sites, voice Read More

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Source: eurekalert.org An Australian-German collaboration has demonstrated fully-autonomous SPM operation, applying artificial intelligence and deep learning to remove the need for constant human supervision. The new system, dubbed DeepSPM, bridges the gap between nanoscience, automation and artificial intelligence (AI), and firmly establishes the use of machine learning for experimental scientific research. “Optimising SPM data acquisition Read More

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Source: techrepublic.com The spread of artificial intelligence (AI) is not slowing down: 85% of organizations said they are evaluating or using AI in production, a report from the technology and business training company O’Reilly found. More than half of companies identified themselves as mature adopters of AI, or as using AI for analysis or in production.  O’Reilly’s AI Read More

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Source: rtinsights.com Almost every update by an operating system provider inevitably comes with new bugs. The recent Windows 10 update, published by Microsoft earlier this week, significantly slowed PC boot time. While most software developers test updates well in advance, publishing it to millions of different machines can lead to significant differences in how the software performs. Read More

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Source: agrinews-pubs.com URBANA, Ill. – With some reports predicting the precision agriculture market will reach $12.9 billion by 2027, there is an increasing need to develop sophisticated data-analysis solutions that can guide management decisions in real time. A new study from an interdisciplinary research group at University of Illinois offers a promising approach to efficiently Read More

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Source: digitaltrends.com Deep-learning artificial intelligence is helping grapple with plenty of problems in the modern world. But it also has its part to play in helping solve some ancient problems as well — such as assisting in the translation of 2,500-year-old clay tablet documents from Persia’s Achaemenid Empire. These tablets, which were discovered in modern-day Iran in 1933, Read More

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Source: gizbot.com Prama Hikvision recently demonstrated its intelligent technologies and solutions showcasing some of its latest as well as forthcoming innovations. The company demonstrated its AI applications which is driven by Deep Learning Algorithms were demonstrated through various application scenarios related to Face Recognition, People Tracking and Perimeter Security. The company explained its emerging technologies Read More

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Source: analyticsinsight.net The promise of deep learning in the field of computer vision is better performance by models that may require more data however, less digital sign preparing ability to train and work. There is a ton of promotion and large claims around deep learning methods, however, past the hype, deep learning techniques are accomplishing cutting edge Read More

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Source: radiology.ucsf.edu Hip osteoarthritis can be a painful and debilitating condition. Unfortunately, osteoarthritis is a degenerative disease with no cure, as of yet. A long term research goal of the Musculoskeletal Quantitative Imaging Research (MQIR) interdisciplinary group in the UC San Francisco Department of Radiology and Biomedical Imaging, led by Sharmila Majumdar, PhD (director), and Thomas Link, MD, PhD (clinical director), Read More

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Source: techexplorist.com Inverse problems are addressed in numerous areas of physics, with the analytic continuation of the imaginary Green’s function into the real frequency domain being an especially significant example. Be that as it may, the analytic continuation problem is poorly characterized, and presently, no analytic change for unraveling it is known. As a part Read More

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Source: indiaeducationdiary.in Srinagar: The Week-long National Faculty Development Programme (FDP) on “Deep Learning and its Applications” was inaugurated at Amar Singh College, here today. The programme is organised by the College in collaboration with E&ICT Indian Institute of Technology, Roorkee Supported by Ministry of Electronics and Information Technology (MeitY), Government of India.Vice-Chancelleor, Cluster University Srinagar, Read More

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Source: menafn.com In 2012, a researcher Krizhevsky entered the renowned image classification contest – ImageNet with a Convolutional Neural Network called AlexNet designed by his team. And to everyone’s astonishment, AlexNet won the first prize by beating other contemporary techniques by a huge margin of accuracy. With this success, suddenly the AI research community became Read More

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Source: phys.org Applying deep learning to seismic data has revealed tremor and slip occur at all times—before and after known large-scale slow-slip earthquakes—rather than intermittently in discrete bursts, as previously believed. Even more surprisingly, the machine learning generalizes to other tectonic environments, including the San Andreas Fault. “The work tells us that the physics of Read More

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Source: Distributing malware by attaching tainted documents to emails is one of the oldest tricks in the book. It’s not just a theoretical risk—real attackers use malicious documents to infect targets all the time. So on top of its anti-spam and anti-phishing efforts, Gmail expanded its malware detection capabilities at the end of last year to include more tailored Read More

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Source: infoq.com PyTorch, Facebook’s open-source deep-learning framework, announced the release of version 1.4. This release, which will be the last version to support Python 2, includes improvements to distributed training and mobile inference and introduces support for Java. This release follows the recent announcements and presentations at the 2019 Conference on Neural Information Processing Systems (NeurIPS) in December. For training large models, Read More

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Artificial Intelligence