BigDataFr recommends: MultiModel: Multi-Task Machine Learning Across Domains […] Over the last decade, the application and performance of Deep Learning has progressed at an astonishing rate. However, the current state of the field is that the neural network architectures are highly specialized to specific domains of application. An important question remains unanswered: Will a convergence […]
Technologies
[arXiv] BigDataFr recommends: Recipes for Translating Big Data Machine Reading to Executable Cellular Signaling Models
BigDataFr recommends: Recipes for Translating Big Data Machine Reading to Executable Cellular Signaling Models […] With the tremendous increase in the amount of biological literature, developing automated methods for extracting big data from papers, building models and explaining big mechanisms becomes a necessity. We describe here our approach to translating machine reading outputs, obtained by […]
[arXiv] BigDataFr recommends: Big Data, Data Science, and Civil Rights
BigDataFr recommends: Big Data, Data Science, and Civil Rights […] Advances in data analytics bring with them civil rights implications. Data-driven and algorithmic decision making increasingly determine how businesses target advertisements to consumers, how police departments monitor individuals or groups, how banks decide who gets a loan and who does not, how employers hire, how […]
[arXiv] BigDataFr recommends: Forecasting in the light of Big Data
BigDataFr recommends: When Will AI Exceed Human Performance? Evidence from AI Experts […] Predicting the future state of a system has always been a natural motivation for science and practical applications. Such a topic, beyond its obvious technical and societal relevance, is also interesting from a conceptual point of view. This owes to the fact […]
[arXiv] BigDataFr recommends: When Will AI Exceed Human Performance? Evidence from AI Experts
BigDataFr recommends: When Will AI Exceed Human Performance? Evidence from AI Experts […] Advances in artificial intelligence (AI) will transform modern life by reshaping transportation, health, science, finance, and the military. To adapt public policy, we need to better anticipate these advances. Here we report the results from a large survey of machine learning researchers […]
[arXiv] BigDataFr recommends: Big Data in HEP: A comprehensive use case study
BigDataFr recommends: Big Data in HEP: A comprehensive use case study […] Experimental Particle Physics has been at the forefront of analyzing the worlds largest datasets for decades. The HEP community was the first to develop suitable software and computing tools for this task. In recent times, new toolkits and systems collectively called Big Data […]
[Datasciencecentral – Tips] BigDataFr recommends: Difference between Machine Learning, Data Science, AI, Deep Learning, and Statistics
BigDataFr recommends: Difference between Machine Learning, Data Science, AI, Deep Learning, and Statistics […] In this article, Vincent Granville clarifies the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT, operations research, and applied mathematics. As data science is […]