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It's sad to think that the NN researchers will overreach and suppress other research approaches now that they are having a (well deserved) victory lap in the po
by balls_deep 12y ago
It's sad to think that the NN researchers will overreach and suppress other research approaches now that they are having a (well deserved) victory lap in the popular press. This is the typical pattern in academia, however. What is a good antidote for this? Although I work in another field, I've definitely felt the sting of a bad review for work that didn't conform to the fashions of the day. It is very unjust. Hopefully Hinton and his celebrated cohort will show restraint and give the GOFAI community a break when they are down. I wouldn't be surprised to see that NN(deep learning) will encounter barriers to progress in the future and a variation on GOFAI will prove to be the way forward..
- SlipperySlope 12y agoDARPA, the USA sponsor of much AI research is quite balanced, taking risks on many different approaches to challenge problems. Robotics especially, as grounded as it is in physical reality, employs a hierarchy of methods. Chiefly sub-symbolic at lower layers for sensors, e.g. voice recognition and visual object recognition, and symbolic in nature for higher level cognitive functions, e.g. route planning. I am glad that the AAAI accommodates all the disparate separate research fields that make up AI. With thousands of papers presented, those I enjoyed most aside from the keynotes, were those given by chairs of the specialty conferences describing what's happening in their field. Awesome things are going on - propelled by Moore's law and the contributions from every continent.