Source: supplychaindigital.com Watson is IBM’s suite of artificial intelligence (AI) services, applications and tools. Watson aims to help businesses unlock the value of data in new ways and remove repetitive tasks from employees to shift the focus to high-value work. This is in addition to allowing companies to predict and shape business outcomes in order to rethink Read More

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Source: siliconangle.com Google LLC today launched an enterprise version of TensorFlow, the popular open-source artificial intelligence framework it created to run machine learning, deep learning and other statistical and predictive analytics workloads. The TensorFlow framework simplifies the process of acquiring data, training models, serving predictions and refining future results. Common use cases include training algorithms for image Read More

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Source: infoworld.com Engineers at Google have unveiled Dex, a prototype functional language designed for array processing. Array processing is a cornerstone of the math used in machine learning applications and other computationally intensive work. The chief goal for the Dex language, according to a paper released by Google researchers, is to allow programmers to work Read More

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Source: towardsdatascience.com As you already know-how Machine learning is playing a crucial role in predicting your upcoming actions. Now it’s time to see how Machine learning is revolutionizing Mobile app development. What is Machine learning? Machine learning is the application of Artificial Intelligence which makes computers predict the outcomes automatically without the intervention of human Read More

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Source: genengnews.com Researchers at the Sanford Burnham Prebys Medical Discovery Institute say that machine learning’s powerful ability to detect patterns in complex data is revolutionizing how scientists diagnose disease and, now, how they discover new drugs. The Sanford Burnham team has developed a machine-learning algorithm that gleans information from microscope images that allow for high-throughput Read More

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Source: cardiovascularbusiness.com A novel machine learning algorithm improved patient selection for cardiac resynchronization therapy (CRT) in a study of nearly 1,000 heart failure patients in the U.S., representing an opportunity to optimize care and spare certain individuals from a pricey procedure that might not benefit them. CRT is indicated in patients with medically refractory systolic Read More

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Source: searchenterpriseai.techtarget.com MicroStrategy customers now can use DataRobot machine learning models to automate AI processes for predictive analytics and other business intelligence applications. Under a new partnership between DataRobot, a Boston-based enterprise AI vendor, and MicroStrategy, a 30-year-old independent analytics and BI vendor based in Tysons Corner, Va., business users of the MicroStrategy 2019 platform Read More

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Source: techrepublic.com Electric scooters are invading America, with scooters from popular brands including Lime, Bird, Spin, Lyft, and Uber becoming commonplace in major city centers. These dockless scooters, which are controlled by mobile app, accounted for 45.8% of all micromobility trips in 2018; this number is significant, considering 84 million micromobility trips were taken in 2018 Read More

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Source: ventsmagazine.com There has been quite a speculation about artificial intelligence and machine learning, but Artificial Intelligence has an overkill of data, opening new doors to technology. Though the two terms Artificial Intelligence and Machine learning are always together, several people are unaware of the difference between the two. Therefore, let us kick off with the example Read More

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Source: techcrunch.com Paperspace has always had a firm focus on data science teams building machine models, offering them access to GPUs in the cloud, but the company has had broader ambition beyond providing pure infrastructure, and today it announced a new set of tools to help these teams pass the model off to developers and operations Read More

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Source: wtop.com Artificial intelligence programs are multiplying like rabbits across the federal government. The Defense Department has tested AI for predictive maintenance on vehicles and aircraft. Civilian agencies have experimented with robotic process automation. RPA pilots at the General Services Administration and the IRS helped employees save time on repetitive, low-skill tasks. In February, President Donald Trump signed an Read More

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Source: itbrief.co.nz Enterprise AI service provider DataRobot has unveiled MLOps, a machine learning operations (MLOps) solution for deploying, monitoring, and managing machine learning models across the enterprise. MLOps combines DataRobot’s existing model management and monitoring solution with capabilities from MLOps category leader ParallelM, which DataRobot acquired in June. DataRobot’s new MLOps offering provides a centralised Read More

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Source: insights.dice.com Apple has struggled in recent years to establish a robust artificial intelligence (A.I.) practice. This partially stems from the company’s ironclad privacy policies—it’s more difficult to analyze datasets for insights when internal rules prevent the company from using every piece of user data it can vacuum up. Nonetheless, Apple’s newest projects show that it’s powering ahead Read More

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Source: techwireasia.com CYBERSECURITY specialists have been betting on artificial intelligence (AI) to defend their organizations against sophisticated cyberattacks for quite a while now — and it seems as though deep learning and machine learning have the potential to deliver. AI is a broad term that encompasses computer vision, machine learning, and deep learning, and generally Read More

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Source: techcrunch.com Prosthetic limbs are getting better every year, but the strength and precision they gain doesn’t always translate to easier or more effective use, as amputees have only a basic level of control over them. One promising avenue being investigated by Swiss researchers is having an AI take over where manual control leaves off. To visualize Read More

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Source: darkreading.com In the hands of enthusiastic marketing departments, the terms “artificial intelligence,” “machine learning,” and “deep learning” have become fuzzy in definition, sacrificing clarity to the need for increasing sales. It’s entirely possible that you’ll run into a product or service that carries one (or several) of these labels while carrying few of its Read More

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Source: appdevelopermagazine.com Foster City-based Aible has launched Aible Advanced, its new solution for data scientists and developers that automates the machine learning process from data-to-impact. Aible Advanced empowers data scientists with a platform that advances beyond legacy semi-AutoML solutions such as DataRobot to enable data scientists to achieve business impact quickly and efficiently. Aible Advanced automates all Read More

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Source:-blocksandfiles.com VMware is developing a cloud service to monitor software in customer deployments and tune it automatically to improve performance. This is Project Magna and its first target is vSAN in hyperconverged infrastructure. It will work like this: customers select their key performance indicator – read or write optimisation or both. Magna examines their vSAN Read More

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Source:-business.com Machine learning can help businesses develop software capable of understanding natural human language. Businesses can use machine learning to improve the efficiency of logistics and transportation networks. Machine learning helps businesses use preventative maintenance to decrease equipment breakdowns and increase profits. With machine learning, businesses can leverage consumer data to build useful customer profiles, Read More

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Source:-benzinga.com leading global provider of solutions for epigenetics research and in vitro diagnostics, has launched the industry’s first epigenetics data mining services that uses unique algorithms and machine learning to uncover the underlying biological meaning of epigenetic data and other data types. Next generation sequencing in combination with bioinformatics analyses of genomic, transcriptomic, and epigenomic Read More

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Source: informationweek.com Machine learning has grown to have a significant impact on our daily lives: From Amazon’s home assistant Alexa collecting and analyzing information to anticipate our needs, or Facebook suggesting who we should friend, to applications protecting us from credit card fraud and improving online shopping experiences. Organizations want their data to do the heavy lifting Read More

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Source: interestingengineering.com We’re officially living during the Data Science revolution. As the driving force behind machine learning and Artificial Intelligence (AI), data science can be found at the heart of some of today’s most exciting technological innovations–from self-driving cars to surgical robots and beyond. So it should come as no surprise that the best and Read More

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Source: thetradenews.com Bloomberg has rolled out early alerts using machine learning technology to provide clients with predictive insights for fixed income trading.   The data-driven early alerts use Bloomberg’s proprietary library of fixed income data alongside machine learning models for predictive intelligence that could offer users an edge in trading corporate credit markets. By analysing Read More

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Source: techxplore.com Scientists have developed an automated tool for mapping the movement of particles inside cells that may accelerate research in many fields, a new study in eLife reports. The movements of tiny molecules, proteins and cellular components throughout the body play an important role in health and disease. For example, they contribute to brain Read More

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Source: healthitanalytics.com The Pittsburgh Health Data Alliance (PHDA) is partnering with Amazon Web Services (AWS) to improve medical imaging, cancer diagnostics, precision medicine, voice-enabled technologies, and other areas of healthcare with machine learning.  The AWS Machine Learning Research sponsorship will enable PHDA scientists from the University of Pittsburgh and Carnegie Mellon University (CMU) to accelerate research and Read More

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