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Crowdsourcing Accurate and Creative Word Problems and Hints

AAAI Conferences

The current state-of-the-art method for generating educational content, such as math word problems and hints, is manual authoring by domain experts. Unfortunately, this is costly, time consuming, and produces content that lacks diversity. Attempts to automatically address the time and diversity issues through natural language generation still do not produce content that is sufficiently creative and varied. Crowdsourcing is a viable alternative - there has been a great deal of research on leveraging human creativity to solve complex problems, such as user interface design. However, these systems typically decompose complex tasks into subtasks. Writing a single word problem or hint is a small enough problem that it is unclear how to further break it down, but also far more complex than typical microtasks like image labeling. Therefore, it is not obvious how to apply these worker improvement methods or which ones are most effective (if at all). We build upon successful task design factors in prior work and run a series of iterative studies, incrementally adding different worker-support elements. Our results show that successive task designs improved accuracy and creativity.


Modeling Short Over-Dispersed Spike Count Data: A Hierarchical Parametric Empirical Bayes Framework

arXiv.org Machine Learning

In this letter, a Hierarchical Parametric Empirical Bayes model is proposed to model spike count data. We have integrated Generalized Linear Models (GLMs) and empirical Bayes theory to simultaneously provide three advantages: (1) a model of over-dispersion of spike count values; (2) reduced MSE in estimation when compared to using the maximum likelihood method for GLMs; and (3) an efficient alternative to inference with fully Bayes estimators. We apply the model to study both simulated data and experimental neural data from the retina. The simulation results indicate that the new model can estimate both the weights of connections among neural populations and the output firing rates (mean spike count) efficiently and accurately. The results from the retinal datasets show that the proposed model outperforms both standard Poisson and Negative Binomial GLMs in terms of the prediction log-likelihood of held-out datasets.


Cognonto Empowers Knowledge-Based Artificial Intelligence - DATAVERSITY

#artificialintelligence

According to a recent press release, "Cognonto, a new start-up in knowledge-based artificial intelligence (KBAI), announced today the dual release of its Cognonto Platform and KBpedia, a computable knowledge structure to automate much of the effort needed for machine learning. KBpedia leverages six large-scale knowledge bases -- Wikipedia, Wikidata, GeoNames, OpenCyc, DBpedia and UMBEL -- into a single structure expressly designed to support artificial intelligence (AI) within enterprises." Michael Bergman, a co-founder of Cognonto, commented, "Many of the AI advances in recent years, such as question answering on smart phones or systems that beat human contestants in Jeopardy, are built around Web knowledge bases like Wikipedia… But these are one-off systems that only the largest tech firms or research outfits can afford… The idea behind Cognonto is to democratize this process such that any enterprise can afford to train their own machine learners or gain the advantages of knowledge-based artificial intelligence." The release continues, "KBpedia combines the hundreds of thousands of concepts and 20 million entities in its source knowledge bases in a structure that separately captures entities, attributes, relations and topics, the types by which they are categorized, and the connections between them. One innovation of the system, according to Bergman, is the schema, or "knowledge graph," that organizes KBpedia according to the logic of Charles Sanders Peirce, a noted 19th century American mathematician, philosopher and polymath."


Amazon.com: Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner (9780470526828): Galit Shmueli, Nitin R. Patel, Peter C. Bruce: Books

@machinelearnbot

I am a data mining trainer and consultant. This book not only has good content, but it offers a 90 day license of software with which to rehearse the case study examples. My comments on the book will be accompanied by comments on the software. The book is the perfect fit for its intended audience. With the caution that certain readers will do better elsewhere, I think it is a great book.


Will UPS beat Amazon to drone delivery? Firm spotted testing craft for urgent medical deliveries over Massachusetts

Daily Mail - Science & tech

United Parcel Service (UPS) is newest competitor in the race to unleash the first fleet of delivery drones. The firm began testing the use of drones this week with a focus of bringing packages to remote or difficult-to-access locations. A mock delivery of urgent medical supplies was delivered from Beverly, Massachusetts to Children's Island as a test, which is the first drone delivery to be made by a major delivery firm in the US. United Parcel Service (UPS) is newest competitor in the race to unleash the first fleet of delivery drones. UPS announced today that it has begun testing the use of drones to make commercial deliveries of packages to remote or difficult-to-access locations, working together with drone-maker CyPhy Works.


Google's 'Show and Tell' AI can tell you what's in a photo with nearly 94% accuracy

Daily Mail - Science & tech

Artificial intelligence systems have recently begun to try their hand at writing picture captions, often producing hilarious, and even offensive, blunders. But, Google's Show and Tell algorithm has almost perfected the craft. According to the firm, the AI can now describe images with nearly 94 percent accuracy and may even'understand' the context and deeper meaning of a scene. According to the firm, Google's AI can now describe images with nearly 94 percent accuracy and may even'understand' the context and deeper meaning of a scene. Google has released the open-source code for its image captioning system, allowing developers to take part, the firm revealed on its research blog.


Elon Pew Future of the Internet Survey Report: Impacts of AI, Robotics by 2025

#artificialintelligence

Internet experts and highly engaged netizens participated in answering an eight-question survey fielded by Elon University and the Pew Internet Project from late November 2013 through early January 2014. Self-driving cars, intelligent digital agents that can act for you, and robots are advancing rapidly. Will networked, automated, artificial intelligence (AI) applications and robotic devices have displaced more jobs than they have created by 2025? Describe your expectation about the degree to which robots, digital agents, and AI tools will have disrupted white collar and blue collar jobs by 2025 and the social consequences emerging from that. Among the key themes emerging from 1,896 respondents' answers were: - Advances in technology may displace certain types of work, but historically they have been a net creator of jobs. This page holds the content of the survey report, which is an organized look at respondents elaborations derived from 250 single-spaced pages of responses from ...


Grocery retailers struggling with the speed of decisions

#artificialintelligence

A global study of 750 grocery decision-makers reveals key challenges in meeting customer expectations. Grocery retailers face many challenges and barriers to delivering on their customer experience promises of'any time, anywhere'. To understand these challenges, we commissioned a global survey to discover how grocery retail managers and directors feel about their customer experience delivery. The research also uncovered thoughts on how to overcome the hurdles of delivering the best customer experience. The findings are the result of interviews with 750 grocery managers and directors across the globe, in the UK, USA, Germany and France.


Shitposting: What is the bizarre online behaviour that could win Donald Trump the election?

The Independent - Tech

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display