CMU wants to make computers learn and think like humans

Researchers at Carnegie Mellon University are on a mission to advance the science of machine learning algorithms and computer vision. As such, they have announced a five-year, US$12 million research effort to reverse-engineer the brain. The goal of the project is to unlock the secrets of neural circuitry and brain-learning methods in order to get computers to learn more like humans. To understand how the brain processes information, the researchers will look at improving the performance of neural networks. Neural networks are currently used in a variety of applications such as facial, speech and handwriting recognition, self-driving cars, and detecting financial fraud. “But today’s neural nets use algorithms that were essentially developed in the early 1980s,” said Tai Sing Lee, research project lead and professor at the university’s computer science…

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