Source: analyticsinsight.net Artificial Intelligence (AI) made leapfrogs of development and saw broader adoption across industry verticals when it introduced machine learning (ML). ML helps in learning the behavior of an entity using patterns detection and interpretation methods. However, despite its unlimited potential, the conundrum lies in how machine learning algorithms arrive at a decision in the first place. Read More

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Source: healthitanalytics.com A deep learning tool could improve genomic sequencing processes, identifying disease-causing mechanisms that might otherwise be missed by traditional screening methods, according to a study published in Nature Machine Intelligence. Researchers from Children’s Hospital of Philadelphia (CHOP) and New Jersey Institute of Technology (NJIT) developed the tool, which can help predict sites of DNA methylation – Read More

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Source: insights.dice.com If you’re interested in artificial intelligence (A.I.) and deep learning, OpenAI has a new “class” of scholarships opening up for Fall 2020. The organization is specifically asking engineers and scientists from underrepresented groups to apply.  “Diversity is key to AI having a positive effect on the world—it’s necessary to ensure the advanced AI systems of the Read More

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Source: roboticsbusinessreview.com The Mid-twentieth century sociologist David Reisman was perhaps the first to wonder with unease what people would do with all of their free time once the encroaching machine automation of the 1960s liberated humans from their menial chores and decision-making. His prosperous, if anxious, vision of the future only half came to pass Read More

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Source: thenextweb.com Two things often mentioned with deep learning are “data” and “compute resources.” You need a lot of both when developing, training, and testing deep learning models. When developers don’t have a lot of training samples or access to very powerful servers, they use transfer learning to finetune a pre-trained deep learning model for a new task. Read More

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Source: aithority.com Luminoso, the company that automatically turns unstructured text data into business-critical insights, unveiled its new deep learning model for analyzing sentiment of multiple concepts within the same text-based document. “While sentiment analysis has been prevalent for well over a decade, the most common form of sentiment analysis today involves evaluating whether a document’s sentiment is Read More

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Source: newswise.com Newswise — Researchers at the University of Chicago Medicine Comprehensive Cancer Center, working with colleagues in Europe, created a deep learning algorithm that can infer molecular alterations directly from routine histology images across multiple common tumor types. The study, published July 27 in Nature Cancer, highlights the potential of artificial intelligence to help clinicians Read More

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Source: singularityhub.com When Deep Blue defeated world chess champion Garry Kasparov in 1997, it may have seemed artificial intelligence had finally arrived. A computer had just taken down one of the top chess players of all time. But it wasn’t to be. Though Deep Blue was meticulously programmed top-to-bottom to play chess, the approach was too labor-intensive, Read More

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Source: itnews.iu.edu From decoding genomes to analyzing the contents of thousands of images and videos, artificial intelligence (AI) is redefining research. At Indiana University (IU), the Deep Learning (DL) Resource on Carbonate provides processing power and specialized support for over 100 projects across a wide range of fields that engage the potential of AI. Starting Read More

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Source: the-hookup.gadgethacks.com In the coming years, artificial intelligence (AI) will revolutionize every facet of technology and business. AI researchers are in high demand. Salaries in this field are regularly in the hundreds of thousands of dollars. AI is already disrupting and transforming numerous industries, including transportation, manufacturing, health care, education, media, and customer service. Businesses in practically every Read More

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Source: wired.com EARLY LAST YEAR, a large European supermarket chain deployed artificial intelligence to predict what customers would buy each day at different stores, to help keep shelves stocked while reducing costly spoilage of goods. The company already used purchasing data and a simple statistical method to predict sales. With deep learning, a technique that has helped produce spectacular Read More

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Source: analyticsinsight.net When you pick up a magazine, scroll through the tech blogs, or simply chat with your peers about technology, you’ll quickly notice that almost everything related to the technology world seems to have some element of artificial intelligence or machine learning to it. Computer power is developing, calculations and Artificial Intelligence (AI) models Read More

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Source: rtinsights.com New research from the Lawrence Livermore National Laboratory (LLNL) demonstrated deep learning surrogate models performing as well, and sometimes better, than more expensive simulators. The researchers tested the surrogate model on complicated inertial confinement fusion problems and found it could accurately emulate scientific processes, while also reducing compute time from half an hour to a Read More

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Source: bestgamingpro.com Deep learning opens a brand new stage of capabilities inside the synthetic intelligence realm, however its use has been restricted to knowledge scientists. These days, lastly, it could be ripe for “democratization,” that means it’s poised to turn out to be an accessible set of applied sciences accessible to all who want it — Read More

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Source: biometricupdate.com Hikvision has enhanced its DeepinView camera line by adding AI-powered deep learning algorithms to improve performance and deliver competitive pricing, the company announced. The Dedicated Subseries are an example of AI chipset performance and how the technology can be used in security. Hikvision says its algorithms can be switched to have as many as Read More

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Source: aithority.com Hikvision, an IoT solution provider with video as its core competency, announced a brand-new addition to its DeepinView camera line: the Dedicated Subseries. This unprecedented new addition loads a batch of AI-powered deep learning algorithms into each unit, boasting stunning performance and cost-effective pricing. Over the last few years, artificial intelligence (AI) has been applied in many ways in Read More

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Source: newsdeskindia.com For those unaware, Artificial Intelligence alludes the re-enactment of human insight into machine so as to enable them to think like members of the human race. Thus, attributes like problem solving, learning and critical thinking are carried on by machines. Artificial intelligence brings along a colossal potential to the table which is ultimately Read More

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Source: Machine learning had a rich history long before deep learning reached fever pitch. Researchers and vendors were using machine learning algorithms to develop a variety of models for improving statistics, recognizing speech, predicting risk and other applications. While many of the machine learning algorithms developed over the decades are still in use today, deep learning — Read More

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Source: analyticsinsight.net Machine learning-based personalization has gained traction over the years due to volume in the amount of data across sources and the velocity at which consumers and organizations generate new data. Traditional ways of personalization focused on deriving business rules using techniques like segmentation, which often did not address a customer uniquely. Recent progress Read More

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Source: techxplore.com Surrogate models supported by neural networks can perform as well, and in some ways better, than computationally expensive simulators and could lead to new insights in complicated physics problems such as inertial confinement fusion (ICF), Lawrence Livermore National Laboratory (LLNL) scientists reported. In a paper published by the Proceedings of the National Academy of Read More

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Source: intelligenttransport.com Autonomous vehicle software company Oxbotica has developed and deployed deepfake technology to help expose its autonomous vehicles to near-infinite variations of the same situation – without the need for genuine real-world testing of a location. Deepfaking uses deep learning artificial intelligence (AI) to generate fake photo-realistic images. Seeing beyond its potential to create Read More

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Source: analyticsinsight.net The idea of creating intelligent systems has always fascinated data science professionals. The advent of computers and technology uplifts the notion that an algorithm that can learn from itself and adapt to changing model inputs. The art of self-learning algorithms helping data science with valuable information is an uncharted territory that AI-powered neural networks would like Read More

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