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Source:- itworld.com Reinforcement learning uses rewards and penalties to teach computers how to play games and robots how to perform tasks independently You have probably heard about Google DeepMind’s AlphaGo program, which attracted significant news coverage when it beat a 2-dan professional Go player in 2015. Later, improved evolutions of AlphaGo went on to beat a 9-dan (the Read More

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Source:- insights.dice.com If you listen to the tech pundits (and many tech-firm CEOs), artificial intelligence (A.I.) and machine learning (ML) will define the future. And they’re certainly not wrong: virtually every industry is interested in how A.I. and ML can streamline business processes and boost profits. These are clearly areas worth any tech professional’s time and attention. But for students Read More

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Source:- cmu.edu Carnegie Mellon University Libraries recently hosted a conversation on harnessing the power of artificial intelligence for scientific data discovery. The AIDR (Artificial Intelligence for Data Discovery and Reuse) 2019 conference took place May 13-15 and brought 150 researchers, computer scientists, librarians and industry representatives from 10 countries and 65 institutions and organizations to CMU May 13-15. Read More

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Source:- analyticsindiamag.com 1| Apache SAMOA Apache Scalable Advanced Massive Online Analysis (SAMOA) is a distributed streaming machine learning framework which contains a programming abstraction for distributed streaming machine learning algorithms. It provides a collection of distributed streaming algorithms for the most common data mining and machine learning tasks such as classification, clustering, and regression. Apache SAMOA enables Read More

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Source:-nextgov.com The bureau for years ignored concerns about the accuracy and transparency of its facial recognition efforts, and the House Oversight Committee isn’t happy about it. Lawmakers on Tuesday grilled federal law enforcement officials on the integrity and legality of the government’s facial recognition programs, and criticized the nearly nonexistent oversight Congress has over those Read More

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Source:- beincrypto.com Microsoft Dominates the Charts Microsoft’s Research Asia team took home first place in eight of the 11 categories in which it participated (out of 19 categories in total). For the remaining three entries (English-Kazakh, Finnish-English, and Lithuanian-English), it won the second prize. When we think of AI, voice recognition and translation likely isn’t the first thing that comes Read More

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Source:-fudzilla.com SoftwareONE has written a cheque for a controlling stake in InterGrupo, one of Latin America’s cloud technology consulting and application modernisation providers. The move enables SoftwareONE to strengthen its service offerings in the region and to add Application Modernisation and Development, a strategic priority, to its global portfolio of Solutions and Services. InterGrupo will Read More

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Source:- martechseries.com CognitiveScale Inc., an Enterprise AI software pioneer, has expanded its strategic relationship with Microsoft to further accelerate adoption of CognitiveScale’s Cortex software amongst businesses using Microsoft Azure. Today, enterprises spend weeks deploying AI platforms and building intelligent business processes in their cloud or data center environments. As a result, AI projects take a long time Read More

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Source:- crn.com Snowflake Computing will provide its cloud-native data warehouse services on Google Cloud Platform starting later this year, putting it in a position to better support customers’ multi-cloud strategies. The move completes a trifecta for Snowflake, which has run its expanding portfolio of data management and data warehouse services on Amazon Web Services since 2015 Read More

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Source:- analyticsinsight.net Artificial intelligence and machine learning stand out as the most transformational technology in this data-driven age. The rate of development and innovation in machine learning is relentless and what seemed impossible a few years ago is commonplace today. Machine learning’s practical application throughout the economy is growing apace, resulting from the accelerated development of Read More

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Source:- towardsdatascience.com Introduction In this part of the series, we will put together everything we have learned to train a classification model. The objective is to learn how to build a complete classification workflow from the beginning to the end. Problem Definition The problem we are going to solve is the infamous Titanic Survival Problem. We are Read More

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Source:- phys.org Researchers, from biochemists to material scientists, have long relied on the rich variety of organic molecules to solve pressing challenges. Some molecules may be useful in treating diseases, others for lighting our digital displays, still others for pigments, paints, and plastics. The unique properties of each molecule are determined by its structure—that is, by Read More

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Source:- builtin.com What is machine learning? How does it work? How much math is involved? An engineer breaks it all down. Machine learning is the idea that computers can learn from examples and experience, without being explicitly programmed to do so. Instead of writing code, you feed data to the generic algorithm, and it builds logic Read More

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Source:-forbes.com The explosive use of big data, predictive analytics and other modeling techniques to help understand and drive outcomes in all types of organizations has significantly increased over the past decade. Advocates of artificial intelligence enthusiastically tout the benefits of data to predict and, in some cases, alter key processes and outcomes. Higher education institutions are no different. They Read More

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Source:- bumc.bu.edu Know What’s Good for Your Health? Artificial Intelligence Data and algorithms can spot medical concerns early and point to solutions Let’s take a look at a few of the many BU projects that use big data to tackle medical problems by utilizing the multidisciplinary expertise of the University—matching public health experts with computer science Read More

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Source:- via.news Artificial intelligence, machine learning, and deep learning are arguably the most significant innovations taking the 21stcentury by storm. Differentiating between the three terminologies is no easy feat, which explains why they are often used interchangeably. What is Artificial Intelligence? Artificial intelligence is the art of trying to integrate human intelligence into machines. Put, it Read More

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Source:- ecns.cn President’s message calls for tackling legal, security, governance challenges President Xi Jinping called on Sunday for strengthened cooperation among countries to explore opportunities of digital, internet-based intelligent development and to properly address legal, security and governance challenges arising from big data industry development. He made the remarks in a congratulatory letter to the China Read More

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Source:- builtin.com At their core, data scientists have a math and statistics background. Out of this math background, they’re creating advanced analytics. On the extreme end of this applied math, they’re creating machine learning models and artificial intelligence. Just like their software engineering counterparts, data scientists will have to interact with the business side. This includes Read More

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Source:- uctoday.com Data is everywhere, but are we using It correctly? Big data is an ever-evolving and dynamic term that describes large volumes of data with the potential to deliver useful insights and information. Big data can inform machine learning strategies, form the basis of artificial intelligence applications, and transform business operations. For years, Big Data was defined by Read More

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Source:- thedailybeast.com Online data plays an almost inextricable role in American consumers’ lives. Following a host of large-scale data breaches and subsequent questions about corporations’ use of consumer data, Capitol Hill has been abuzz with talk of creating federal data privacy legislation. Amidst calls for federal data privacy protection laws, many industries that handle sensitive consumer Read More

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Source:- themandarin.com.au Data science is increasingly important across both Federal and State Government sectors, especially with the implementation of machine learning. Machine learning is helping these sectors organise, program and analyse data, by automating processes and freeing up human resources that can be better applied in other areas. A more specific subset of artificial intelligence (AI), Read More

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Artificial Intelligence