MIT researchers show that merging statistical and symbolic artificial intelligence promises to enable computers to reason more like humans. Their hybrid model can learn object-related concepts like color and shape, and leverage that knowledge to interpret complex relationships.
This is a companion discussion for the article “Teaching machines to reason about what they see - http://news.mit.edu/2019/teaching-machines-to-reason-about-what-they-see-0402” submitted on the community's news feed.
Reply to this topic to share your thoughts on this article.