More than 2,100 teams are competing in fourth annual Data Science Bowl. When it comes to developing drugs to fight disease, a billion dollars doesn’t buy what it used to. Not so long ago, a fortune that size might have covered the cost of creating 30 new medicines. Today, it won’t even buy you one. This year’s Data Science Bowl could help cure what ails drug discovery. In the world’s largest AI competition for social good, more than 2,100 teams are vying to reduce the soaring costs and testing times for new drugs. Their challenge: To use deep learning to accelerate and improve accuracy of a crucial step in the drug-discovery pipeline — identifying the nucleus of each cell.
