10,000 Data Scientists Take on Lung Cancer in Data Science Bowl

In one of the most ambitious competitions in AI, two researchers at Beijing’s Tsinghua University used deep learning and GPUs to come up with an algorithm that could lead to a life-saving way to spot lung cancer early enough to treat it. Their challenge was to use machine learning to improve the accuracy of CT scans, which are more effective than X-rays at detecting lung cancer. The researchers, Liao Fangzhou and Zhe Li, beat nearly 2,000 other teams, with a total 10,000 members, to win $500,000 in the third annual Data Science Bowl, sponsored by consulting firm Booz Allen Hamilton and the Kaggle data science community, with additional sponsorship from NVIDIA and others.