Presented By O’Reilly and Intel AI
Put AI to work
Sep 4-5, 2018: Training
Sep 5-7, 2018: Tutorials & Conference
San Francisco, CA
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

11:55am-12:35pm Friday, September 7, 2018
Speed versus specificity: Designing text annotation tasks for the people and algorithms that drive human-in-the-loop (HIL) products
Implementing AI, Interacting with AI
 Location: Imperial A
Secondary topics:  AI in the Enterprise, Text, Language, and Speech
Jason Laska (Clara Labs)
Clara’s human-in-the-loop scheduling service combines the precision of machine intelligence and the judgement of an expert team. Jason Laska explores the trade-offs between text annotations defined for fast data entry and those meant solely for training machine learning models, using the application of DateTime text as it pertains to meeting-attendee availability to guide the discussion. Read more.