TotalCIO

Dec 18 2017   2:11PM GMT

Training data for algorithms must be right, not just plentiful

Nicole Laskowski Nicole Laskowski Profile: Nicole Laskowski

Tags:
Artificial intelligence
Machine learning

Machine learning algorithms require training data — and a lot of it — to get the models working correctly. But more training data alone doesn’t necessarily make for smarter algorithms, according to Tolga Kurtoglu, CEO at PARC, a research and development company spun out Xerox in 2002.

If companies want to tune their models correctly, Kurtoglu said they need to gather the right training data. He provided a vivid example of the importance of this requirement at the recent AI World event in Boston.

When PARC engineers looked at how to get more performance out of lithium ion batteries for electric cars, they realized the data they needed didn’t exist. “The current battery cells are manufactured in a way that have sensors outside of the cell structure,” Kurtoglu explained. The sensor data included temperature and voltage, and it was used as a proxy for what was happening inside the cell structure.

But proxy data wasn’t good enough. PARC engineers wanted internal monitoring capabilities to measure the battery’s health, gathering data points on the cell’s pH balance and its chemical decomposition, for example. So they built a fiber optic sensor and fitted it into the battery cell to provide a window into the unseen space.

The data gave way to critical insights for improving a lithium ion battery’s life, enabling engineers to “build analytics capabilities in a very different way” by combining traditional data sources together with the new data generated by the fiber optics sensor, Kurtoglu said.

 Comment on this Post

 
There was an error processing your information. Please try again later.
Thanks. We'll let you know when a new response is added.
Send me notifications when other members comment.

Forgot Password

No problem! Submit your e-mail address below. We'll send you an e-mail containing your password.

Your password has been sent to:

Share this item with your network: