Monthly Archives: January 2017

NIPS 2016 Reviews

NIPS (the Conference and Workshop on Neural Information Processing Systems) is a machine learning and computational neuroscience conference held every December. It was first proposed in 1986, and for a long time, it was a small conference. Interest to NIPS significantly increased when deep learning started demonstrating great results in image recognition, speech recognition, and multiple other areas. Last year NIPS had 2500+ papers submitted and 5000+ people in attendance.

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2016 Review

I treat this blog as my lab journal. I will keep posting random thoughts along with better-written articles on particular topics. This post is an attempt to summarize my activity in some areas in 2016 (see overview of ML and AI in 2016 general in my previous post). Continue reading

Machine Learning and Artificial Intelligence in 2016

2016 was an interesting year. AI winter is over, but this time AI is almost a synonym for deep learning. Major technology companies (Google, Microsoft, Facebook, Amazon and Apple) announced new products and services built using machine learning. DeepMind AlphaGo beat the world champion in Go. Salesforce bought MetaMind to build a deep learning lab. Apple promised to open up its deep learning research.

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