Artificial IntelligenceTechnology

IBM believes 100% of jobs will eventually change due to artificial intelligence, and new empirical research released last October 30 from the MIT-IBM Watson AI Lab reveals how. The research, The Future of Work: How New Technologies Are Transforming Tasks, used advanced machine learning techniques to analyze 170 million online job postings in the United States between 2010 and 2017. …

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Machine Learning

TF Dev Summit ’19 | Powered By TensorFlow: Helping Paleographers Transcribe Medieval Text Using Machine Learning Machine learning is helping to solve challenging, real-world problems around the world. See how In Codice Ratio (http://www.inf.uniroma3.it/db/icr/), a research project made up of engineers, paleographers, and archivists, is using machine learning powered by TensorFlow to help humanities scholars …

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Machine LearningProgramming

TF Dev Summit ‘19 | TensorFlow Lite TensorFlow Lite is TensorFlow’s solution for running machine learning across resource constrained platforms. In the talk we will go over the current state of TFLite, as well as the roadmap, from the point of view of four core competencies: conversion, optimization, acceleration, and usability. Speakers: Pete Warden, Software …

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Science

Try to remember that last dinner you went out for. Perhaps you can remember the taste of that delicious pasta, the sounds of the jazz pianist in the corner, or that boisterous laugh from the portly gentleman three tables over. What you probably can’t remember is putting any effort into remembering any of these little …

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DataProgramming

TF Dev Summit ’19 | TensorFlow Probability: Learning with confidence TensorFlow Probability (TFP) is a Python library built on TensorFlow that makes it easy to combine probabilistic models and deep learning on modern hardware (TPU, GPU). It’s for data scientists, statisticians, and ML researchers/practitioners who want to encode domain knowledge to understand data and make …

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DevelopmentMachine LearningProgramming

TF Dev Summit ’19 | Reinforcement Learning in TensorFlow with TF-Agents Learn how to use TensorFlow and Reinforcement Learning to solve complex tasks. Speakers: Sergio Guadarrama, Senior Software Engineer Eugene Brevdo, Software Engineer

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Machine Learning

TF Dev Summit ’19 | TensorFlow Hub: Reusable Machine Learning TensorFlow Hub is a library for reusable pieces of machine learning. In this talk we will refresh when you would want to use it, talk about how it integrates with TF-2.0, and present some new modules added to https://tfhub.dev since last year. Speaker: André Susano …

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Machine Learning

TF Dev Summit ’19 | In Codice Ratio: Machine Transcription in the Vatican Secret Archive The “In Codice Ratio” research project is developing a machine transcription system to speed up large scale search and knowledge discovery from historical archives. A custom CNN trained on crowdsourced annotations enables the system to deal with challenging medieval handwriting. …

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Artificial IntelligenceData

U.S. technology giant Microsoft has teamed up with a Chinese military university to develop artificial intelligence systems that could potentially enhance government surveillance and censorship capabilities. Two U.S. senators publicly condemned the partnership, but what the National Defense Technology University of China wants from Microsoft isn’t the only concern. As my research shows, the advent …

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DevelopmentSoftware

TF Dev Summit ’19 | TensorFlow Open Source Community And Collaboration TensorFlow is where it is today because of many amazing open source contributions, through GitHub, Special Interest Groups and Requests for Comment (RFCs). In addition to that, we have communities of contributors focused on documentation, and on testing the forthcoming TensorFlow 2.0 release. This …

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