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This article started slow for me, I almost stopped reading, glad I didn’t. Great read when the discussion got into the CLEVR data sets and hybrid system. Hybri
by mark_l_watson 6y ago
This article started slow for me, I almost stopped reading, glad I didn’t. Great read when the discussion got into the CLEVR data sets and hybrid system.
Hybrid AI has been a keen interest after I retired from almost 5 years of work with deep learning. I just took a job on a knowledge graph team and it feels great to be working on a different approach to knowledge representation and reasoning. My personal opinion is that Hybrid AI is the future and I wouldn’t be surprised to see an exponential growth of practical results, similar to what happened with deep learning around 2013.
- yazr 6y agoMany had the same thought after AlphaZero i.e. some sort of expert-iteration for any (formal/combinatorial) domain what can be tree-searched But it turns out, that interesting problems have existing refined algorithms that are difficult to beat I agree that (DL + something) is the next step Do you lean more towards symbolic search + neural heuristic or neural representation of symbolic domain ?
- mark_l_watson 6y agoI lean towards symbolic AI + neural models. There is an architecture diagram in the article showing one good example.