DARPA is looking to make huge strides in machine learning
The U.S. Defense Department's research and development arm is offering to fund projects that will simplify the massively complex task of building models for machine learning applications.Models are a fundamental part of machine learning. Similar to algorithms, they help teach computers to, say, identify a cat in a photo, forecast weather from historical data or sort spam from legitimate email.But writing the models takes time and requires many skills. Typically, data scientists, subject matter experts and software engineers all have to come together to develop the model.When New York University researchers wanted to model block-by-block traffic flow data for the city, it took 60 person-months of work by data scientists to prepare the data for use and an additional 30 person-months to develop the model.To read this article in full or to leave a comment, please click here
OPNFV-sponsored interns will work in the lab.
3scale and Red Hat have been working together, already.
Predix has 11,000 developers and 50 apps.
Want to know what to expect at the upcoming 2016 OPNFV Summit? Prodip Sen shares his insider perspective.