The Decade of Deep Learning
This post is an overview of some the most influential Deep Learning papers of the last decade. The author hopes to provide a jumping-off point into many disparate areas of Deep Learning by providing succinct and dense summaries that go slightly deeper than a surface level exposition, with many references to the relevant resources.
Hopes for AI in 2020: Yann LeCun, Kai-Fu Lee, Anima Anandkumar, Richard Socher
Deeplearning.ai has invited Anima Anandkumar, Oren Etzioni, Chelsea Finn, Yann LeCun, Kai-Fu Lee, David Patterson, Richard Socher, Dawn Song and Zhi-Hua Zhou to express their hopes for 2020.
Google Just Beat Humans at Spotting Breast Cancer — But It Won’t Replace Them
Google is developing artificial intelligence to help doctors identify breast cancer. The model, which scans X-ray images known as mammograms, reduces the number of false negatives by 9.4 percent—a hopeful leap forward for a test that currently misses 20 percent of breast cancers.
(The Verge) / (Nature) / (Paper)
Learning by Cheating
Vision-based urban driving is hard. The autonomous system needs to learn to perceive the world and act in it. Researchers show that this challenging learning problem can be simplified by decomposing it into two stages.
(UT Austin & Intel Labs)
A Modern Introduction to Online Learning
In this monograph, the researcher introduces the basic concepts of Online Learning through a modern view of Online Convex Optimization. Here, online learning refers to the framework of regret minimization under worst-case assumptions.
Deep Sparse Rectifier Neural Networks
This paper shows that rectifying neurons are an even better model of biological neurons and yield equal or better performance than hyperbolic tangent networks in spite of the hard non-linearity and non-differentiability at zero, creating sparse representations with true zeros, which seem remarkably suitable for naturally sparse data.
(Université de Montréal)
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Happy AI New Year! Global Researchers Reflect on 2019, Talk Trends for 2020
To welcome 2020 with some fresh AI perspectives, Synced spoke with global researchers from Google Brain, Sony AI, Alibaba affiliate Ant Financial (formerly known as Alipay) and other 8 organizations.
2019 in Review: 10 AI Papers That Made an Impact
As part of our year-end series, Synced spotlights 10 artificial intelligence papers that garnered extraordinary attention and accolades in 2019.
Global AI Events
January 7–10: CES 2020 in Las Vegas, United States
February 7–12: AAAI 2020 in New York, United States
February 24–27: Mobile World Congress in Barcelona, Spain
March 23–26: GPU Technology Conference (GTC) in San Jose, United States