Antoine Bordes, AI Research Scientist at Facebook AI Research (FAIR), presents on the evolution from computer vision object detection to visual question answering at Data Driven NYC in 2016.
“So, what people try to do now is that to move to caption what's called caption generation, which was actually super promising, but actually people realized that actually the machine wasn't that good, to what's called now visual question answering, which is more about trying to ask questions about images. This is much harder, actually, and we, the task has been very popular for the last two years. Actually, it's too hard, which means that there is a big ceiling”
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“This is exactly the same architecture of what's being used right now.”
Antoine BordesNov 9, 2016▶ 5:13Artificial Intelligence at Facebook // Antoine Bordes, Facebook [FirstMark's Data Driven]
PredictionHeld up
Bordes: Direct machine reading will eventually match IBM Watson's performance
“The goal is that, ah, eventually, by trying to understand the text directly, you can actually at least equal, all the information by Watson is in text, in free text.”
Antoine BordesNov 9, 2016▶ 20:00Artificial Intelligence at Facebook // Antoine Bordes, Facebook [FirstMark's Data Driven]
Insight
Real-world applications must balance machine learning with rule-based extraction pipelines
“In terms of developing real application, I think you should really try to balance both, because it's true that in the example I showed, If you have a very good process to basically already isolate all the entities and if you want basically to use something lik…”
Antoine BordesNov 9, 2016▶ 24:45Artificial Intelligence at Facebook // Antoine Bordes, Facebook [FirstMark's Data Driven]
AssertionNot checkable as stated
Most 2016 production computer vision systems lack bounding box capabilities
“This is, right now, I would say that the best systems are doing this in production. Most of them are doing this. And some are not even doing the boxes.”
Antoine BordesNov 9, 2016▶ 4:26Artificial Intelligence at Facebook // Antoine Bordes, Facebook [FirstMark's Data Driven]
PredictionHeld up
Bordes predicts large AI models will run on mobile devices by 2017
“And next year we will run them on mobile, so.”
Antoine BordesNov 9, 2016▶ 6:56Artificial Intelligence at Facebook // Antoine Bordes, Facebook [FirstMark's Data Driven]
AssertionNot checkable as stated
Bordes: No AI model can solve bAbI's simple reasoning task
“Basically this one is still unsolved, which is, like, super easy. Actually, no machine can solve this one.”
Antoine BordesNov 9, 2016▶ 12:25Artificial Intelligence at Facebook // Antoine Bordes, Facebook [FirstMark's Data Driven]
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