Excellent article on the history and recent advances in AI
This NY Times article is worth your time, if you are interested in AI–especially if you are still under the impression AI has ossified or lost its way.
This NY Times article is worth your time, if you are interested in AI–especially if you are still under the impression AI has ossified or lost its way.
Google and others are developing neural networks that learn to recognize and imitate patterns present in works of art, including music. The path to autonomous creativity is unclear. Current systems can imitate existing artworks, but cannot generate truly original works. Human prompting and configuration are required. Google’s Magenta project’s neural network learned from 4,500 pieces of music before creating the following simple tune (drum track overlaid by a human): Click Play button to listen-> Is it conceivable that AI may…
“Once the trained CNN [convolutional neural network] showed solid performance in the simulator, we loaded it onto DRIVE PX [vehicle control computer] and took it out for a road test in the car. The vehicle drove along paved and unpaved roads with and without lane markings, and handled a wide range of weather conditions. As more training data was gathered, performance continually improved. The car even flawlessly cruised the Garden State Parkway.”