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- Facebook employs some of the most accomplished and widely respected researchers in artificial intelligence, such as Yann LeCunn [1] - Every year, researchers
by throwawaymath 8y ago
- Facebook employs some of the most accomplished and widely respected researchers in artificial intelligence, such as Yann LeCunn [1]
- Every year, researchers from the Facebook Artificial Intelligence Research Lab (FAIR) present their research at top conferences such as NIPS [2]
- FAIR also produces some of the most capable and widely used open source software in machine learning, such as Torch and Caffe2 [3]
If you'd like to see how Facebook uses machine learning, take a look through its blog posts related to recruiting [4].
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1. https://research.fb.com/people/ https://research.fb.com/people/
2. https://research.fb.com/facebook-research-at-nips-2017/ https://research.fb.com/facebook-research-at-nips-2017/
3. https://research.fb.com/downloads/ https://research.fb.com/downloads/
4. https://www.facebook.com/careers/life/machine-learning-at-facebook https://www.facebook.com/careers/life/machine-learning-at-fa...
- pavs 8y agoThanks for the info, I didn't know about FAIR or that pytorch came from facebook research.
- nl 8y agoAlso note that FBs open source ML projects are generally easier to use than Google's. Things like FastText are completely standalone which makes them really easy to integrate into other things.
- whymauri 8y agoI've been working with FastText almost daily and I completely agree. The code rocks and it is really easy to quickly do your own modifications i.e. the source is clean and well-structured.