| Hi Reader, Machine learning is a fascinating area of AI. Typically, how it works is a computer is fed massive amounts of data, which enables it to compare the information, find patterns, and draw conclusions. But that may soon be a thing of the past. A recent article in Technology Review announced that “a radical new technique lets AI learn with practically no data.” It’s called “less-than-one-shot learning” and can teach AI to identify more objects than the number of examples it is trained on. It’s more like the way humans are learning. The human mind is capable of drawing conclusions from often very little data by applying imagination. Researchers now say that if you engineer the data input just right, even two pieces of information—like weight and color—could enable AI to reliably recognize apples and oranges. This is a huge deal because it will make it possible to cut down on the need for enormous databases (and the associated costs) to make AI work. AI is progressing at warp speed, so don’t miss your chance to get positioned early. Learn how to become a successful AI investor with our five-module AI Masterclass. Remember, aside from expert interviews and easy-to-understand explanations of how AI works, you’ll also get your AI portfolio “starter kit”: eight favorite stock recommendations from the Mauldin Economics analysts. And if you sign up before midnight tomorrow, November 19, you’ll only pay $199 for your AI Masterclass. But hurry, because after tomorrow, the price will rise to $299. Get access to the AI Masterclass now. Best, Mauldin Economics | 