Put AI to work
June 26-27, 2017: Training
June 27-29, 2017: Tutorials & Conference
New York, NY
Jason Laska

Jason Laska
Research and Development Lead , Clara Labs

Website

Jason Laska is the head of engineering at Clara Labs. Previously, he spearheaded the computer vision program at Dropcam (acquired by Google in 2014), developing massive scale online vision systems for the product. Jason holds a PhD in electrical engineering from Rice University, where he made contributions to inverse problems, dimensionality reduction, and optimization. He briefly dabbled in publishing as a cofounder and editor of Rejecta Mathematica, a publication for previously rejected mathematics articles.

Sessions

11:55am12:35pm Thursday, June 29, 2017
Implementing AI
Location: Sutton Center/North Level: Intermediate
Secondary topics:  Machine Learning, Natural Language
Jason Laska (Clara Labs)
Average rating: *****
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Clara Labs is fusing machine learning (ML) with distributed human labor for natural language tasks. The result is a virtuous cycle: ML predictions improve workers’ efficiency, and workers help improve prediction models. Jason Laska explores the challenges of building a real-time(ish) knowledge workforce, how to integrate automation, and key strategies Clara Labs learned that enable scale. Read more.