Microsoft’s framework for building AI systems responsibly
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Singapore develops Asia’s first AI-based mobile app for shark and ray fin identification to combat illegal wildlife trade
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The opportunity at home – can AI drive innovation in personal assistant devices and sign language?
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Two NHS surgeons are using Azure AI to spot patients facing increased risks during surgery
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Azure OpenAI Service helps customers accelerate innovation with large AI models; Microsoft expands availability
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How AI makes developers’ lives easier, and helps everybody learn to develop software
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Software 2.0
I sometimes see people refer to neural networks as just “another tool in your machine learning toolbox”. They have some pros and cons, they work here or there, and sometimes you can use them to win Kaggle competitions. Unfortunately, this interpretation completely misses the forest for the trees. Neural networks are not just another classifier, …
AlphaGo, in context
Update Oct 18, 2017: AlphaGo Zero was announced. This post refers to the previous version. 95% of it still applies. I had a chance to talk to several people about the recent AlphaGo matches with Ke Jie and others. In particular, most of the coverage was a mix of popular science + PR so the most …
ICML accepted papers institution stats
The accepted papers at ICML have been published. ICML is a top Machine Learning conference, and one of the most relevant to Deep Learning, although NIPS has a longer DL tradition and ICLR, being more focused, has a much higher DL density. Most mentioned institutions I thought it would be fun to compute some stats on …
A Peek at Trends in Machine Learning
Have you looked at Google Trends? It’s pretty cool — you enter some keywords and see how Google Searches of that term vary through time. I thought — hey, I happen to have this arxiv-sanity database of 28,303 (arxiv) Machine Learning papers over the last 5 years, so why not do something similar and take a look at how …