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> I still maintain that IBM is above everyone else in the AI game, everyone. Yeah I don't know about that. At best they are starting to incorporate deep learni

> I still maintain that IBM is above everyone else in the AI game, everyone. Yeah I don't know about that. At best they are starting to incorporate deep learning into Watson. I'm guessing Watson has always been a rules engine and more specifically one designed with a lot of statistical analysis. That's far below the level of sophistication we're at with NNs. This is IBMs page on deep learning: https://www.ibm.com/cloud/deep-learning https://www.ibm.com/cloud/deep-learning While it might be nice to use whatever that tool is - it's a wrapper on top of Tensorflow/Keras or Pytorch... Wouldn't it make sense for it to be a wrapper on top of "Watson's API" whatever that is.

DebtDeflation 8y ago
> Yeah I don't know about that. At best they are starting to incorporate deep learning into Watson. I'm guessing Watson has always been a rules engine and more specifically one designed with a lot of statistical analysis. There's so much confusion in the market as to what Watson is, and much of it is IBM Marketing's fault. Watson is a Natural Language Processing platform. At a low level it does all the standard NLP stuff - tokenization, part of speech tagging, lemmatization, dependency parsing, co-reference resolution, stopword removal, synonym expansion, etc. Some of this is rule based, some is ML based. Building on top of that you have stuff like an Intent Classifier, Passage Retrieval with a Ranker, Named Entity extraction, Relationship extraction, and Sentiment tagging. Building on top of that, you have the actual commercial applications - chatbot/assistant, semantic search engine, knowledge graph, etc. That's what it is. It's not vaporware or smoke and mirrors, but it's obviously not AGI either.
YeGoblynQueenne 8y ago
Like I say in a previous comment, and if memory serves, the original Watson system that beat the two human players in Jeopardy already used deep learning to train the transitions of a natural language chart parser. They didn't just suddendly discover deep learning. It's probably just their marketing team being hopelessly clueless about the tech.

DebtDeflation 8y ago

> Yeah I don't know about that. At best they are starting to incorporate deep learning into Watson. I'm guessing Watson has always been a rules engine and more specifically one designed with a lot of statistical analysis. There's so much confusion in the market as to what Watson is, and much of it is IBM Marketing's fault. Watson is a Natural Language Processing platform. At a low level it does all the standard NLP stuff - tokenization, part of speech tagging, lemmatization, dependency parsing, co-reference resolution, stopword removal, synonym expansion, etc. Some of this is rule based, some is ML based. Building on top of that you have stuff like an Intent Classifier, Passage Retrieval with a Ranker, Named Entity extraction, Relationship extraction, and Sentiment tagging. Building on top of that, you have the actual commercial applications - chatbot/assistant, semantic search engine, knowledge graph, etc. That's what it is. It's not vaporware or smoke and mirrors, but it's obviously not AGI either.

YeGoblynQueenne 8y ago

Like I say in a previous comment, and if memory serves, the original Watson system that beat the two human players in Jeopardy already used deep learning to train the transitions of a natural language chart parser. They didn't just suddendly discover deep learning. It's probably just their marketing team being hopelessly clueless about the tech.