Machine learning underpins two brain-injury research awards from NFL

The National Football League and General Electric announced on Thursday a list of 16 projects that will each receive $300,000 to advance their research in the field of diagnosing and preventing head injuries. Among the selected projects is a collaboration between the University of California, San Francisco, and machine learning startup Ayasdi to analyze CAT scan data to predict which players might have persistent symptoms. Another involves the Purdue Neurotrama Group and a company called BrainScope that uses machine learning algorithms to power a device that it hopes can detect head injuries on the sidelines. As everything from algorithms to computing power improve, machine learning is actually becoming fairly common in medical research.

There’s a lot of big data being applied to soccer lately

When it comes to data, soccer is the new baseball. The latest issue of the Economist has an article breaking down English Premiere League soccer players using data, and a subsequent blog post includes an interactive tool from machine learning startup Ayasdi that lets readers explore the data. Earlier this week, Disney researchers presented their analysis of an entire year’s worth of ball-position data for a professional soccer league and how that can affect the outcome of games.

Has Ayasdi turned machine learning into a magic bullet?

By combining machine learning with stunning visualizations, Ayasdi thinks it has created a product that could revolutionize data analysis. Its software is the latest product that tries to make humans better at their jobs by taking away the guesswork of spotting correlations.