Researchers, hospitals, companies, consumers, and government agencies are drowning in data that they can’t fully capitalize on. Now, a team from U-M has received $1.6 million from the Defense Advanced Research Projects Agency to help develop a toolkit so that even non-data scientists can use that data to possibly answer questions and ultimately speed up the process of discovery. The project seeks to develop algorithms that draw on techniques like machine learning for applications such as understanding video. It is one of 24 projects selected from around the country. DARPA intends to combine techniques from the projects into a central repository.
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