Researchers from Harvard University and MIT-IBM Watson AI Lab have released , a data set for evaluating AI models’ ability to recognize causal relationships and carry out reasoning.

A paper sharing initial findings about the CoLlision Events for Video REpresentation and Reasoning (Clevrer) data set was published this week at the International Conference of Representation Learning (ICLR).

Clevrer builds on , a data set released in 2016 by a team from Stanford University and Facebook AI Research, including ImageNet creator Dr. Fei-Fei Li, for analyzing the visual reasoning abilities of neural networks.

Clevrer cocreators like Chuang Gan of MIT-IBM Watson Lab and Pushmeet Kohli of Deepmind introduced Neuro-Symbolic Concept Learner (), a applied to Clevr at ICLR one year ago.

“We present a systematic study

Read More At Article Source | Article Attribution