Popular media and hype cycles are leading us to expect radical changes and perfect results from artificial intelligence. But you don’t read perfectly, so why should your AI? In this blog, veteran CIO Carl Lambrecht explains when “good” is good enough for AI.
This week: it’s Elon Musk vs Harvard, as they spar over the dangers of narrow and general AI; a Google executive warns about “movie-inspired death scenarios” from Terminator-style AI; and here are 3 tips on how businesses can avoid dangerous AI.
This week: Jeff Catlin gives us his AI predictions for 2018, plus a much-needed reality check (he says AI needs to consider its privilege); some areas where AI is already rivaling humans; and Steve Wozniak joins the camp of AI realists.
Hyperparameter optimization is akin to a secret ingredient in Willy Wonka’s Chocolate Factory. And, much like Arthur Slugworth, there are nefarious entities afoot in the machine learning community. In this article, Chief Scientist Paul Barba goes over the ins and outs of hyperparameter theft!
Is Denver International Airport a haven for secret Illuminati ceremonies? You might think so by looking at an analysis of its Facebook page. In this latest installment of the airport analysis series, we look at how important it is for a text analytics solution to account for sarcasm and satire.
In our fourth airport analysis, we turn to Dallas/Fort Worth International Airport in Texas. As the fourth busiest airport on Earth, DFW is larger than the island of Manhattan. Every year it caters to 64 million passengers. Here is what they have to say.
This week: the limits of deep learning, and why it matters; exponential AI development via machine teaching; using AI to analyze airport reviews; and 4 questions to help you choose the right AI partner.