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Source: allaboutcircuits.com To help engineers develop AI systems, MathWorks has added deep learning capabilities to its latest update of MATLAB and Simulink. The update, called R2020A, includes a “Deep Network Designer” app, which is said to help engineers train neural networks. Designers can also manage several deep learning experiments at a time in another app, Experiment Manager. Users will have more Read More

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Source: analyticsinsight.net Today machines can teach themselves based upon the results of their own actions. This advancement in Artificial Intelligence seems like a promising technology through which we can explore more innovative potentials of AI. The process is termed as deep reinforcement learning. Deep reinforcement learning, as defined by Bernard Marr, a well-known AI Influencer, is Read More

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Source: virtualizationreview.com Israel-based Run:AI, specializing in virtualizing artificial intelligence (AI) infrastructure, claimed an industry first in announcing a fractional GPU sharing system for deep learning workloads on Kubernetes. The company offers a namesake Run:AI platform built on top of Kubernetes to virtualize AI infrastructure in order to improve on the typical bare-metal approach that statically provisions AI Read More

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Source: analyticsindiamag.com When it comes to job hunting, there is no other place than the largest professional and employment-oriented service platform LinkedIn. With hosting over 20 million active job postings, the largest hiring marketplace has been continuously developing its platform with the help of using intelligent models to optimise various processes such as job postings, job Read More

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Source: physicsworld.com Single-photon emission computed tomography (SPECT) is a diagnostic technique that detects gamma rays emitted by an injected radiotracer to create 3D images of tracer distribution in a patient. It is employed in a range of clinical applications, such as myocardial perfusion SPECT, for example, used to evaluate the heart’s blood supply. To perform Read More

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Source: pubs.spe.org A real-time deep-learning model is proposed to classify the volume of cuttings from a shale shaker on an offshore drilling rig by analyzing the real-time monitoring video stream. As opposed to the traditional, time-consuming video-analytics method, the proposed model can implement a real-time classification and achieve remarkable accuracy. The approach is composed of Read More

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Source: enterpriseai.news Machine vision, natural language processing, data analytics and other deep learning applications will propel global AI software revenues over the next five years via a growing list of industry segments spanning automotive and health care to financial services and retail. Market tracker Omdia forecasts AI software revenues will surge through 2025 to $126 Read More

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Source: enterprisetalk.com Recent advances in intelligent technology and machine algorithms have been helping many oncologists and radiologists for diagnosing cancer. With the spike of digitization in the medical sector, AI and DL artificial intelligence and deep learning have already started to play a notable role in cancer care. However, many medical clinics lack infrastructure – Read More

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Source: mobihealthnews.com Implementation of either an automated or semi-automated deep learning system for diabetic retinopathy screening could lead to cost savings at the health-system level, according to an economic analysis modeling study recently published in The Lancet Digital Health. Backed by Singapore’s Ministry of Health, the investigation looked at data from a national diabetic retinopathy screening Read More

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Source: militaryaerospace.com ROME, N.Y. – U.S. Air Force researchers are asking for industry help in making big improvements in small, lightweight embedded computing for artificial intelligence (AI) and machine learning (AI/ML) capabilities in an embedded computing environment. Officials of the Air Force Research Laboratory’s Information Directorate in Rome, N.Y., issued a broad agency announcement on Thursday (FA875019S7007) for Read More

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Source: enterpriseai.news Is the recent progress in deep learning true artificial intelligence? A widely-discussed article by Google’s Francois Chollet discusses the skill acquisition-based approach to gathering intelligence – the one currently in use in modern DL. He argues that with huge data sets available for training models, AI is mastering skill-acquisition but not necessarily the “scope, generalization difficulty, priors, and Read More

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Source: analyticsindiamag.com Researchers from Microsoft, Princeton University, Technion and Algorand Foundation recently introduced a new framework known as Falcon. Falcon is an end-to-end 3-party protocol that can be used for fast and secure computations of deep learning algorithms on larger networks. Today, a vast amount of private data and sensitive information is continuously being generated. Read More

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Source: asianscientist.com In a study published in IEEE Robotics and Automation Letters, researchers have shown that walking robots spontaneously developed coordinated limb control when trained using deep learning. Human motor control can execute complex movements naturally, efficiently and without much thought involved. This is because of motor synergy in the central nervous system (CNS), which Read More

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Source: expresscomputer.in Zaggle had a turnover of INR 1800 Cr in FY 2018-19 and aims to target INR 3500 Cr in FY 2019-2020. The company has successfully provided innovative and disruptive fintech solutions to over 3500+ Corporates Clients and has Merchant Partner Relationship with over 8500 + merchants and has 3.5 million users. Their eminent list of clients includes Microsoft, Vodafone, Read More

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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: cmswire.com Artificial intelligence (AI) is slowly becoming more mainstream, as companies amass large amounts of data and look for the right technologies to analyze and leverage it. That’s why Gartner predicted that 80% of emerging technologies will have AI foundations by 2021.  With the trend towards predictive analytics, machine learning and other data sciences already underway, Read More

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Source: newelectronics.co.uk British technology companies XMOS and Plumerai have agreed a new strategic partnership that will support the development of binarised neural network (BNN) capabilities, enabling AI to be embedded in a wide range of everyday devices efficiently at low power and at low cost. The partnership combines Plumerai’s Larq software library for training BNNs 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: 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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Artificial Intelligence