AI in Action: DeepStack, DeepMind, and Deep Learning Intuition (Part 2)

#artificialintelligence 

Welcome back to Mind Over Money. In our last episode from October 17, we explored the powerful new computing technologies known as machine learning and deep learning. These AI "genies" were let out of the bottle by computer scientists and engineers who learned to harness semiconductors that were originally designed for advanced gaming graphics. What the researchers discovered was that the GPU (graphical processing units) chips made by NVIDIA NVDA and AMD AMD provided the parallel processing required to teach machines to go beyond replicating simple human intelligence tasks like filtering your email for junk and to do things such as win at "extensive" -- or, extremely complicated -- games like the Chinese Go or Texas Hold'em. With lots of data -- both structured and messy -- a computer can be trained to automatically analyze language, images, faces, and even behavior that seems like it could be financial fraud.

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