The search giant, which debuted a website for the photo project on Wednesday, said it was able to categorize over 4 million iconic Life Magazine photographs without human help. After clicking on a particular label like “skateboarding,” for example, users are shown photos of people performing skateboard tricks along with Wikipedia’s definition of the sport.
Source: fortune.com
Recently, we discovered two exoplanets by training a neural network to analyze data from NASA’s Kepler space telescope and accurately identify the most promising planet signals. And while this was only an initial analysis of ~700 stars, we consider this a successful proof-of-concept for using machine learning to discover exoplanets, and more generally another example of using machine learning to make meaningful gains in a variety of scientific disciplines (e.g. healthcare, quantum chemistry, and fusion research)
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Simulink provides a great training environment for DRL as it allows 3rd parties like Bonsai to integrate and control simulation models from the outside. This ability is one of the basic requirements for simulation platforms to be feasible for Deep Reinforcement Learning using Bonsai AI. More requirements can be found here.
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