How will users discover bots when there are thousands of them? App stores just don’t scale. Google can be the first to find a new model of bot discovery. Brad Abrams, group product management of Google Assistant, touched the topic of bot discovery in an episode of O’Reilly Bots Podcast.
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.
2017 Q1 Plans
The boom of Machine Learning and AI continues, and for my personal research projects, 2016 year was quite productive. But 2017 has already started. Where to think to in Q1? Continue reading
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.