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Source: aithority.com Over the years, containers became essential as they give more control to developers over resources and managing apps on the cloud, like Azure or AWS enabling them to create powerful, scalable applications and without spending too much money on storage, networking and compute resources. Such cloud natives are serving enterprise customers to get Read More
Source: datacentrenews.eu Super Micro Computer has announced two new systems designed for artificial intelligence (AI) deep learning applications that leverage the third-generation NVIDIA HGX technology with the new NVIDIA A100 Tensor Core GPUs as well as full support for the new NVIDIA A100 GPUs across the company’s broad portfolio of 1U, 2U, 4U and 10U Read More
Source: kmworld.com The most appreciative advancements in statistical AI, the ones with the most meaning and potential to improve data’s worth to the enterprise, are deep learning deployments of computer vision and natural language technologies. The distinctions between these applications involve much more than image recognition versus that of speech or language. Horizontal computer vision Read More
Source: analyticsinsight.net Over the last few years, deep learning has seen a huge uptake in popularity in businesses and scientific applications as well. It is defined as a subset of artificial intelligence that leverages computer algorithms to generate autonomous learning from data and information. Deep learning is prevalent across many scientific disciplines, from high-energy particle Read More
Source: analyticsinsight With the advancements in deep learning, the recent years have seen a humongous growth of artificial intelligence (AI) applications and services, traversing from personal assistant to recommendation systems to video/audio surveillance. All the more as of late, with the expansion of mobile computing and Internet of Things (IoT), billions of mobile and IoT gadgets Read More
Source: healthitanalytics.com Researchers at New York Eye and Ear Infirmary of Mount Sinai (NYEE) have developed deep learning tools that can detect age-related macular degeneration (AMD), a leading cause of blindness in the US. In patients with AMD, the central area of the retina called the macula deteriorates, causing blurry vision that can worsen significantly over time. Read More
Source: livemint.com NEW DELHI: Manipulating images to hide malware is common. Once the image is opened on a system, the malware loader starts the decryption process. The decrypted file is then loaded on to the device memory triggering a malware attack. Now, Microsoft and Intel have found a way to use images to detect malware Read More
Source: Advances in artificial intelligence in the early 2010s, particularly in deep learning, triggered a new wave of panic and fear about technological unemployment. Further intensifying those fears were a host of sensational articles about the magical capabilities of AI algorithms and ambiguous statements by company executives creating the impression that human-level AI is just around Read More
Source: livemint.com NEW DELHI: Manipulating images to hide malware is common. Once the image is opened on a system, the malware loader starts the decryption process. The decrypted file is then loaded on to the device memory triggering a malware attack. Now, Microsoft and Intel have found a way to use images to detect malware Read More
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
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
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
Source: infoworld.com Spell, an end-to-end platform for machine learning and deep learning—covering data prep, training, deployment, and management—has announced Spell for Private Machines, a new version of its system that can be deployed on your own hardware as well as on cloud resources. Spell was founded by Serkan Piantino, former director of engineering at Facebook and founder of Read More
Source: itnews.com.au Telstra is running deep learning algorithms over its Networks data to predict equipment failures before they occur and to find ways to address voice and SMS scams. Data science (Networks) team manager Tim Osborne revealed the project, which is codenamed Telstra AI Lab or TAIL, in a presentation to IBM’s Think 2020 conference Read More
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
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
Source: analyticsindiamag.com PyTorch has become popular within organisations to develop superior deep learning products. But building, scaling, securing, and managing models in production due to lack of PyTorch’s model server was keeping companies from going all in. The robust model server allows loading one or more models and automatically generating prediction API, backed by a Read More
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
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
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
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
Source: analyticsindiamag.com If your business is struggling to reduce operational costs during the ongoing economic crisis or maintain the efficiency of services or the quality products, then Data Science as a Service (DSaaS) should be used to solve these issues. DSaaS is an ideal choice for businesses to manage without a large team of data Read More
Source: ajmc.com Artificial intelligence and deep learning are beginning to make a major impact in cancer care, but a number of challenges remain before the full potential of the new technologies can be realized, according to a new study. Writing in Cancer Communications, authors from China’s Tianjin Medical University and Tsinghua University, say artificial intelligence is Read More
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
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
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
Source: Along with unsupervised machine learning and supervised learning, another common form of AI creation is reinforcement learning. Beyond regular reinforcement learning, deep reinforcement learning can lead to astonishingly impressive results, thanks to the fact that it combines the best aspects of both deep learning and reinforcement learning. Let’s take a look at precisely how deep reinforcement learning operates. Note that this article won’t Read More
Source: mit.edu The comedian Bill Burr has said he refuses to call into automated customer service lines for fear that, years later on his death bed, all he’ll be able to think about are the moments he wasted dealing with chatbots. Indeed, the frustrating experience of trying to complete even the most straightforward task through Read More
Source: techworm.net We always adopt the latest technologies, and so does the industry experts. It becomes necessary for each one of us in the technology field to remain updated with the evolving technologies. Considering it as your to-do task, we are up with a course that can earn you a better salary in 2020. What Read More
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
