Gen – a new AI programming language that goes beyond deep learning

A team of MIT researchers announced a novel probabilistic-programming language named “Gen.” Users write models and algorithms from multiple fields where AI techniques are applied — such as computer vision, robotics, and statistics — without having to deal with equations or manually write high-performance code. Gen also lets expert researchers write sophisticated models and inference algorithms — used for prediction tasks — that were previously infeasible. Link

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Association Rule Mining

Users who bought this… Also bought this…‘ can be considered as the statement of this generation. There is not a single shopping application not showcasing this feature to gain more from the buyers. We humans always look for more similar things which we like. This rule is another by-product of Machine Learning called ‘Association Rules’. Association Rule Mining is based on two set of rules:  1) Look for the transactions where there is a bundle or relevance of association of secondary items to the primary items above a certain threshold of frequency; 2) Convert them into ‘Association Rules’. Link

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The first robot artist exhibition in Oxford

Described as “the world’s first ultra-realistic AI humanoid robot artist”, Ai-Da brings “a new voice” to the art world by opening her first solo exhibition of eight drawings, 20 paintings, four sculptures and two video works. Link

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Bringing Analytics to the Soccer Transfer Season

SAS posted an article that shares how they applied analytics to optimize players movements between clubs during the soccer transfer season. Every team needs to answer the ultimate question: “How should we allocate our transfer budget to maximize the benefit we gain?” Maximizing benefit under a limited resource is known as the Knapsack problem in combinatorial optimization. Given a set of items and their values, the Knapsack problem is to find the optimal selection of items to pack within a weight limit to maximize the total value. This article deals with a similar problem: given a set of players, their values and ratings, how to choose which players to transfer to maximize total team rating within a budget limit. Link

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From “Monolithic” to “Microservices”

Traditionally web applications wrapped up business logic, data retrieval, validation, persistence, security and UI in a single bundle deployed on a web server such as Tomcat. This approach continues to work well but nowadays it’s called “monolithic” and many web applications are moving to cloud-based microservices. Java Magazine just published an article about a new simple framework “Helidon” that helps a developer to create container-friendly microservices with a minimum code running straight Java SE – Link. See also Decision Microservices Continue reading

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The math problem that could bring the world to a halt

Dynamic resource allocation problems arise from a range of different real-world scenarios and each one has its own specific issues. “Dynamic resource allocation problems deal with changing inputs and environments, which are highly dynamic and difficult to estimate and predict, as the future load is not statistically dependent on the current load. One change triggers another change, and if you want to control the system with accurate decisions, one must consider the future status of the system.Link Continue reading

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Context Rules The Modern World

John Hagel published the article “Navigating from the Industrial Age to the Contextual Age“:  “Context is becoming more and more central to value creation. If we don’t pay attention to the circumstances surrounding a person or an event, we’re unlikely to understand how to create the greatest personalized value. Those who are most insightful and adept at understanding context, will likely be those who create the most value, both for customers and for themselves.” The article explores the many dimensions of Context and lists the actions which should we be taking to generate value. Link

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Google Research Football: A Novel Reinforcement Learning Environment

Today Google Research announced the release of the Football Environment, a novel Reinforcement Learning (RL) environment where agents aim to master the world’s most popular sport—football (soccer). Modeled after popular football video games, the Football Environment provides a physics based 3D football simulation where agents control either one or all football players on their team, learn how to pass between them, and manage to overcome their opponent’s defense in order to score goals. Link

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DecisionCAMP Track at BBC-2019

Building Business Capability-2019 will be held on Nov. 11-15 at Ft. Lauderdale, FL. This conference is targeted toward professionals involved in Business Analysis, Digital Innovation, Business Strategy & Transformation, Business Architecture, Business Process, and Business Rules & Decisions. It will include a special Track called “DecisionCAMP”, a mini-camp of the main annual event. The full agenda has just been released. You can find BBC DecisionCAMP’s and related presentations here.

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After Software Eats The World, What’s Left? “Decisions”

A post with this title has been published by Data Decisioning. It refers to Andreessen Horowitz podcast that asks: Is there anything left after software eats the world?  The focus of digitization and automation is on routine work, always in a domain-specific context. Then the question comes up. What work is left to do after everything that can be digitized and automated, is digitized and automated? The prediction is that we’ll all be doing “a lot more decision-making” and interestingly, that at least in middle-management, everyone will be an analyst! Link

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