DARPA has announced a new program to fund research in probabilistic programming languages -- an effort that aims to pick up the pace of research and development in artificial intelligence, io9.com reported.
These new systems will be able to comb through "hideously large amounts of uncertain information and select the most useful parts of it," according to io9.com. It can also move backward and forward through the data, make inferences, reason under uncertainty, and efficiently home in on the best explanations. It can go through these processes in an iterative manner, repeating the exercise in a more efficient and superior way each time.
Essentially, a probabilistic program learns and evolves.
“We want to do for machine learning what the advent of high-level program languages 50 years ago did for the software development community as a whole,” DARPA’s Kathleen Fisher said in a statement.
Image courtesy of DARPA
