Hybrid approaches have been getting some interesting results lately[0], and will probably continue to do so, but the approaches between statistical and symbolic

Hybrid approaches have been getting some interesting results lately[0], and will probably continue to do so, but the approaches between statistical and symbolic AI are so different that these are essentially cross-disciplinary collaborations (and each hybrid system I've seen is essentially a one-off that occupies a unique local maxima). I suspect that eventually there will be an "ImageNet Moment" of sorts starring a statistical/symbolic hybrid system and we'll see an explosion of interest in a family of architectures (but it hasn't happened yet). [0] http://news.mit.edu/2019/teaching-machines-to-reason-about-what-they-see-0402 http://news.mit.edu/2019/teaching-machines-to-reason-about-w...