Small group of students beats Google's machine learning code

A small team of student AI (artificial intelligence) coders outperformed codes from Google's researchers, reveal an important benchmark. Students from Fast.ai, a non-profit group that creates learning resources and is dedicated to making deep learning "accessible to all", have created an AI algorithm that beats code from Google's researchers. Researchers from Stanford measured the algorithm using a benchmark called DAWNBench that uses a common image classification task to track the speed of a deep-learning algorithm per dollar of compute power. According to the benchmark, the researchers found that the algorithm built by Fast.ai's team had beaten Google's code. Fast.ai consists of part-time students who are eager to try out machine learning and convert it into a career in data science.