Carnegie Mellon researchers trained AI to simulate our universe on a GPU

AI simulated universe

Simulating the universe is difficult. There are, after all, potentially infinite variables to consider. Scientists typically use supercomputers to crunch data at the cosmological level, but a team of researchers from Carnegie Mellon recently figured out a way to use the same machine learning technology used to teach AI to paint or create music like a human to run advanced simulations on graphics processing units (GPUs).

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Will Tesla survive Elon Musk’s bumbling leadership?

Tesla stock graph

On the one hand, Musk has a brilliant once-in-a-generation intellect. He’s the architect and driving force behind several incredibly successful tech companies ranging from PayPal to SpaceX. Musk is the epitome of a big-picture person with the vision and gumption to take far-fetched, pie-in-the-sky ideas and ground them in reality.

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Facebook’s feckless ‘Fairness Flow’ won’t fix its broken AI

AI Fairness

Facebook today posted a blog post detailing a three-year-old solution to its modern AI problems: an algorithm inspector that only works on some of the company’s systems. Up front: Called Fairness Flow, the new diagnostic tool allows machine learning developers at Facebook to determine whether certain kinds of machine learning systems contain bias against or towards specific groups of people. It works by inspecting the data flow for a given model.

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