13 things you didn't know about Google DeepMind

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University of Oxford scientists have teamed up with DeepMind in order to stop artificial intelligent agents learning how to prevent humans from taking full control of them. "If such an agent is operating in real-time under human supervision, now and then it may be necessary for a human operator to press the big red button to prevent the agent from continuing a harmful sequence of actions - harmful either for the agent or for the environment - and lead the agent into a safer situation." "We have proposed a framework to allow a human operator to repeatedly safely interrupt a reinforcement learning agent while making sure the agent will not learn to prevent or induce these interruptions."


Machine learning prowess on display

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More than 80 Amazon scientists and engineers will attend this year's International Conference on Machine Learning (ICML) in Stockholm, Sweden, with 11 papers co-authored by Amazonians being presented. "ICML is one of the leading outlets for machine learning research," says Neil Lawrence, director of machine learning for Amazon's Supply Chain Optimization Technologies program. "It's a great opportunity to find out what other researchers have been up to and share some of our own learnings." At ICML, members of Lawrence's team will present a paper titled "Structured Variationally Auto-encoded Optimization," which describes a machine-learning approach to optimization, or choosing the values for variables in some process that maximize a particular outcome. The first author on the paper is Xiaoyu Lu, a graduate student at the University of Oxford who worked on the project as an intern at Amazon last summer, then returned in January to do some follow-up work.


#ValidateAI Conference

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Marta Kwiatkowska is a co-proposer of the Validate AI Conference. She is Professor of Computing Systems and Fellow of Trinity College, University of Oxford. Prior to this she was Professor in the School of Computer Science at the University of Birmingham, Lecturer at the University of Leicester and Assistant Professor at the Jagiellonian University in Cracow, Poland. Kwiatkowska has made fundamental contributions to the theory and practice of model checking for probabilistic systems, focusing on automated techniques for verification and synthesis from quantitative specifications. More recently, she has been working on safety and robustness verification for neural networks with provable guarantees.


#ValidateAI Conference

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Marta Kwiatkowska is a co-proposer of the Validate AI Conference. She is Professor of Computing Systems and Fellow of Trinity College, University of Oxford. Prior to this she was Professor in the School of Computer Science at the University of Birmingham, Lecturer at the University of Leicester and Assistant Professor at the Jagiellonian University in Cracow, Poland. Kwiatkowska has made fundamental contributions to the theory and practice of model checking for probabilistic systems, focusing on automated techniques for verification and synthesis from quantitative specifications. More recently, she has been working on safety and robustness verification for neural networks with provable guarantees.


Artificial Intelligence Confounds Its Creators

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For most people, artificial intelligence is Siri, the lovable but modest digital assistant on iPhones. She can't really do much beyond answering simple questions. Advanced artificial intelligence is far from that. Algorithms are constantly learning, often in unusual ways, and at an exponential rate. Co-founder of Google DeepMind Mustafa Suleyman attends a Q&A with Special Projects Editor forTechCrunch, Jordan Crook during day 1 of TechCrunch Disrupt London at the Copper Box on December 5, 2016 in London, England.