Baidu leads China’s Construction of the Upcoming National Engineering Laboratory of Deep Learning Technology and Application
Baidu will now take lead in building China’s National Engineering Laboratory of Deep Learning Technology and Application
Category: Industry
Global AI Industry updates.
Beyond Seq2Seq with Augmented RNNs by Edward Grefenstette, Google, Inc.
This talk summarizes the limitations of RNN (including LSTM, GRU), from both empirical and computational hierarchy mechanism perspectives.
Deep Learning in Industry with NVIDIA/Fine-grained Emotional Profiling
This talk is focused on the future potential of deep learning with NVIDIA Deep Learning SDK and GPU hardware families.
AI in News Reporting: Machines are Now Writing Dialogues, Q&As, and News Articles
Chief Scientist Lei Li of Toutiao discusses how to apply machine learning to natural language understanding and producing machine-written news articles
Monte Carlo Localization: Efficient Position Estimation for Mobile Robots
Sample-based Monte Carlo Localization is notable for its accuracy, efficiency, and ease of use in global localization and position tracking.
NVIDIA End-to-End Self-Driving
In a tech talk at University of Toronto, NVIDIA shared some updates regarding their research of self-driving car and End-to-End Learning
Interview with Andrew Ng：Many Leading AI Technologies were First Deployed in China
Synced had a special interview with Ng to learn more about the progress of AI research at Baidu, why and how he became an AI expert.
An Exclusive Interview with Maluuba: The World’s Fastest Growing AI Startup
computer science graduate student named Kaheer Suleman founded a company called Maluuba, using an intelligent program he invented as the product.
Top 10 AI News of 2016
2016 was full of ups, downs, and surprises: for the world and for AI.
Machine Learning and the Market for Intelligence conference held by Creative Destruction Lab in Toronto
Yoshua Bengio, Geoffrey Hinton, Richard Sutton and Ruslan Salakhutdinov Panel Summary at 2016 I was at the 2016 “Machine LearningContinue Reading