Mind Matters Natural and Artificial Intelligence News and Analysis

TagMachine Learning

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Be Choosy About What You Automate!

Having automated many processes, I can assure you that that is the First Rule of Automation
The worst trap that people who are pursuing automation fall into is the desire to automate everything. That’s usually a road to disaster. Automation is supposed to save time and money, but it can wind up costing you both if you don't carefully consider what you automate. Read More ›
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Study Shows Eating Raisins Causes Plantar Warts

Sure. Because, if you torture a Big Data enough, it will confess to anything
Enormous data sets compiled by Big Data methods have a higher probability of meaningless correlations than smaller ones compiled by traditional methods. More than ever, common sense is needed. And common sense only comes from programmers writing their own common sense into the software. Read More ›
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Consumers Were Not Buying Robots as Friends This Year

The market for drudgery busters remains strong. For dogs and pals, not so much
Some consumer robotics will surely find a place under the Christmas tree. The robotic vacuum cleaner market is healthy and expected to grow, in a world where the demand for vacuum cleaners is growing anyway, doubtless due to more urban lifestyles. Read More ›
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Quantity vs Quality: Can AI Help Scientists Produce Better Papers?

What happens when scientists simply can't read all their peers' papers and still find time for original research?
Quantity is definitely a solved problem. STM, the “voice of scholarly publishing” estimated in 2015 that roughly 2.5 million science papers are published each year. Some are, admittedly, in predatory or fake journals. But over 2800 journals are assumed to be genuine. Read More ›
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AI, it turns out, can solve any problem

As long as we are not too persnickety about what we consider a solution
The machine that knows what we mean instead of what we say is still in the concept stage. Meanwhile, Deep Mind researcher Victoria Krakovna keeps a running list of ways that generate "a solution that literally satisfies the stated objective but fails to solve the problem according to the human designer’s intent.” Read More ›
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Why machines can’t think as we do

As philosopher Michael Polanyi noted, much that we know is hard to codify or automate
Human life is full of these challenges. Some knowledge simply cannot be conveyed—or understood or accepted—in a propositional form. For example, a nurse counselor may see clearly that her elderly post-operative patient would thrive better in a retirement home. But she cannot just tell him so. Read More ›