Campus artificial intelligence researchers aim to improve self-driving cars

The Berkeley Artificial Intelligence Research Lab, or BAIR, released a study on BDD100K -- a driving database that can be used to train algorithms of self-driving cars -- May 12. The data set can be used to train self-driving cars' artificial intelligence programs, according to BAIR's website. The study concluded that the data set can help researchers understand how different scenarios affect current self-driving car programs. A study by the research team that created the data set described two contributions to self-driving cars, one of which is the data set and the other its video annotation system. According to BAIR's website, BDD100K is "the largest and most diverse driving video dataset," containing 100,000 driving clips.