Posts Tagged 'Machine learning'

Microsoft In Recovery Room After Tay

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Microsoft appears to have been emboldened by the success of its Xiaoice chat bot in China to try a US-based chat bot with the personality of a 19-year-old girl in order to attract the 18-24 year-old demographic. What it found was that the US market responded to the introduction by attacking the bot’s learning algorithms with hate speech and “training” Tay to be an eager participant within its first few hours online.

Microsoft acted at once to shut down the experiment ...

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CSC’s Leading Edge Forum Declares “Matrix” Era

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London-based Leading Edge Forum, a research arm of CSC (Computer Sciences Corporation) issued a new study, titled Embracing ‘the Matrix’ and the Machine Intelligence Era. The study declares that the current intersection of Cloud computing and “machine intelligence” will bring about an “ever more capable digital ecosystem” that they dub “The Matrix.”

Read more at Leading Edge Forum

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Supreme Court Ideal Point Miner (SCIPM)

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Researchers at the Discovery Analytics Center at Virginia Tech have developed a model that learns Supreme Court justices’ judicial preferences and voting behavior. Using the model, they report that they have been successful in assessing justices’ views on issues, anticipating their alignments in different cases, and predicting which justice may become a swing vote on an issue that divides the court.

Read more at The Conversation.com

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Facebook Research Raises Bar on Go-playing Machines

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Unlike chess and Jeopardy, the game of Go has proved elusive for researchers seeking to craft a machine that can beat a human opponent. MIT Technology Review reports on advances by Facebook research, where a pair of scientists have recently created a pretty darn good Go-playing machine. Their approach combines a traditional search-based approach with neural network-based machine learning and trounces earlier Go machines over 90% of the time.

Read more at MIT Technology Review

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Wikipedia Turns to Machine Learning for Fraud Detection

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To help offload the work of volunteer human editors tasked with detecting malevolent postings on the open encyclopedia, Wikipedia has turned to open source machine learning code to develop algorithms for differentiating malevolent new posts from legitimate ones. The goal of the Objective Revision Evaluation Service (ORES) is to help Wikipedia provide a more friendly environment for well-intentioned editors by relaxing current stringent editing restrictions. By identifying obvious vandals, ORES has allowed a positive modification in Wikipedia’s policies toward screening ...

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Hardware advances aid in machine learning tasks

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In the last week we’ve seen some noteworthy developments in the cognitive computing field. Most significantly, Google and then Microsoft, open sourced their machine learning systems in an effort to move the field ahead. But software is not the only component involved in this advancement. There has also been significant progress in machine learning and other artificial intelligence tasks because we have more and faster processing power.

Some folks are beginning to look at what, if any, changes we need to ...

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Google open sources AI engine, TensorFlow

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Google has released its second-generation machine learning system in an effort to accelerate the field of artificial intelligence.

According to Google’s white paper on TensorFlow, “it is flexible and can be used to express a wide variety of algorithms, including training and inference algorithms for deep neural network models.” This highly scalable machine learning system can run on a single smartphone or across thousands of computers in datacenters. Jeff Dean, Senior Google Fellow, and Rajat Monga, Technical Lead, say ...

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Facebook CTO Pushes FAIR Progress

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In a talk at the popular Dublin Web Summit in Ireland, Facebook CTO Mike Schroepfer outlined the growing contributions of FAIR (Facebook Artificial Intelligence Research) to the Facebook user experience, highlighting features in the News Feed and in the new “M” virtual personal assistant.

Read more at Business Insider

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