Category Archives: Artificial Intelligence

Andrew Ng is Leaving Baidu

Andrew Ng, a leading figure in the world of artificial intelligence, is leaving his post as chief scientist at China’s Baidu and says he wants to find ways of advancing AI beyond the technology world. Here is his own statement. … Continue reading

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Getting Real About AI in Insurance

Sapiens gathered five of its leading subject matter experts for a quick Q&A to get real about artificial intelligence (AI) in the insurance industry. A quote: “Question. How insurers can prepare for a more “intelligent” future? Answer: The best way for … Continue reading

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A Short History of Machine Learning

Forbes published “A Short History of Machine Learning“. Here is a quote: “We don’t have autonomous androids struggling with existential crises — yet — but we are getting ever closer to what people tend to call ‘Artificial Intelligence’” “Machine Learning … Continue reading

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They are not doing “cognitive computing” no matter how many times they say they are

Dr. Roger Schank published “The Fraudulent Claims Made by IBM About Watson and AI“.  Here are a few quotes: “I invented a field called Case Based Reasoning in the 80’s which was meant to enable computers to compare new situations to … Continue reading

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The “First High-Profile Deserter” from the World of AI

For 40 years, the Stanford professor Terry Winograd has steered the increasingly complex and meaningful interactions between humans and computers. As a graduate student at MIT in the late 1960s, Winograd wrote one of the seminal programs in the emerging discipline … Continue reading

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White-collar workers being replaced by AI?

One Japanese insurance company, Fukoku Mutual Life Insurance, is reportedly replacing 34 human insurance claim workers with “IBM Watson Explorer,” starting by January 2017. The AI will scan hospital records and other documents to determine insurance payouts, according to a … Continue reading

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Nuts and Bolts of Deep Learning

Deep Learning has been the core topic in the Machine Learning community the last couple of years. You may read “The major advancements in Deep Learning in 2016” to go through the advancements contributed the most (or have the potential) … Continue reading

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