Calculus textbooks are the most dry and boring presentations of mathematics I have ever seen, even though calculus offers some of the most amazing insights. Unfortunately, most mathematics texts teach only the mathematics, never the insights.
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Natural Language Interfaces (the technical term for a chatbot) are becoming more and more popular. Many dial-in phone services have switched from numeric interfaces (“Dial 1 for sales, 2 for service, etc.”) to natural language interfaces (“Please say what you are calling about”). Where they have taken off though is with chatbots. Many online help systems at least start with chatbots, which collect basic information about a problem or situation and point to existing solutions before passing the contact off to a human expert. Additionally, the rise of the Generation Text, as well as the proliferation of chat-based groupware such as Slack, means that text-based natural language interfaces are one of the best ways of interacting with young people. Is Read More ›
I get the feeling that even Musk’s faithful followers are beginning to doubt the hype and are instead focusing on the core business aspects, the questions Musk dismissed last year as boring.
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At Mind Matters News, we have criticized his approach on numerous grounds. One problem that keeps getting left out is, who assumes moral responsibility and legal liability for self-driving vehicles?
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Humans intrinsically understand causation and, therefore know which pieces of data likely have some correlation. Therefore, when we select data for computers to analyze, we are drastically reducing the size of the problem for computers.
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Many “how” explanations can seem pretty off-topic. Imagine a situation where a book club is discussing the works of Stephen King where one commenter keeps on bringing up the fact that all of King’s writing was done on a Mac.
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In the model of generalization set out in the paper, imperfect models can get better scores but they are discounted according to the amount of error they have.
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Rakover presents an initial sketch of a methodology that allows a better conceptualization of the method by which mental states get moved in and out of consciousness. The edition also features a review of Scott D. G. Ventureyra’s On the Origin of Consciousness.
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Machine learning is not a new technique, but is simply a modern extension of a tool that we have had in our toolbox since the days of the Babylonians. It continues to serve us well to help us extrapolate our data to estimate the value of unknown results and to help find the signal in noisy data.
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Rather than lacking insight into AI issues, this band of theologians is especially sagacious in applying theology to them.
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Software engineers call imaginary products “vaporware.” And if the tag fits, it wouldn’t be the first time that Tesla has marketed an illusion.
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While the learning curve is not an exact science, the interesting part, in my view, is that such a non-physical mechanism can be measured at all.
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A virtual rail is essentially a road that is built expressly for driverless cars.
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My primary reason for doubting that AI can match human intelligence is that the difference between mind and machine is a difference of kind, not of quantity. Understanding the distinction will help us exploit the abilities of each to their maximum potential.
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Is this the future of currency? Seems like the Dark Ages to me. Bitcoin is a clever idea, but it is perhaps too clever for its own good.
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In Part 1 of our series, we looked at machine learning, including supervised learning, unsupervised learning, and reinforcement learning. Now we’re going to dive a little deeper into how supervised learning works.
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Most machine learning systems fall into three main categories—supervised learning, unsupervised learning, and reinforcement learning. The choice of system depends first on which category of machine learning best addresses your situation.
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Do you ever feel frustrated when you hear about significant AI developments and you can’t be sure how — or whether — they relate to your organization? Are you missing out? Will a competitor “get it” ahead of your firm? The best strategy is to take a bit of time to get to know the technology, the companies, the people, and the ideas personally.
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I have a problem with the possible outcomes when people who don’t know the difference between technology fact and fiction make important decisions based on information from journalists who write as if every computer is a potential personality like HAL from Space Odyssey 2001.
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What gives humans the ability to increase in prosperity, according to Eric Holloway, is our ability to “read” from Plato’s Library of new ideas, thus providing an ever-growing supply of side information that powers the economy.
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