2020 in Review With Brian Tse
Synced has invited Mr. Brian Tse to share his insights about the current development and future trends of artificial intelligence.
Category: Talk Review
2020 in Review With Tatsuya Nagata
Synced has invited Mr. Tatsuya Nagata, the COO of Navier Inc., to share his insights about the current development and future trends of artificial intelligence.
2020 in Review With Johan A.K. Suykens
Synced has invited Prof. Johan A.K. Suykens to share his insights about the current development and future trends of artificial intelligence.
2020 in Review With Sheldon Fernandez
Synced has invited Mr. Sheldon Fernandez to share his insights about the current development and future trends of artificial intelligence.
2020 in Review With Viral B. Shah
Synced has invited Dr. Viral B. Shah to share his insights about the current development and future trends of artificial intelligence.
2020 in Review With Jürgen Schmidhuber
Synced has invited Prof. Jürgen Schmidhube to share his insights about the current development and future trends of artificial intelligence.
Google Open-Sources Lingvo Framework for Sequence-To-Sequence Modeling
Natural language processing has made significant progress in the past year, but few frameworks focus directly on NLP or sequence modeling. Google Brain recently released Lingvo, a deep learning framework based on TensorFlow. Synced invited Ni Lao, Chief Science Officer at Mosaix, to share his thoughts on Lingvo.
Basics of Computational Reinforcement Learning
Intelligent behavior arises from the actions of an individual seeking to maximize its received reward signals in a complex and changing world”. Meanwhile, reinforcement learning is the way to realize AI.
Artificial Intelligence is the New Electricity — Andrew Ng
Andrew Ng – former Baidu Chief Scientist, Coursera co-founder, and Stanford Adjunct Professor – gave a talk at the Stanford MSx Future Forum.
Why AI Must Be Biased, and How We Can Respond
AI must be biased because the knowledge we used in the training process contains traces of our history, including our prejudices.
Richard Sutton: The Future of Artificial Intelligence Belongs to Search and Learning
The future of AI belongs to scalable methods, search and learning; as presented by Richard Sutton in seminars at University of Toronto
Geoffrey Hinton: Using Fast Weights to Store Temporary Memories
Machine learning Advances and Applications Seminar address how to use fast weights to effectively store temporary memories, at University of Toronto
A Practical Guide to Neural Machine Translation
This talk focuses on engineer techniques for large-scale NMT systems. It helps us to understand how GPU works andContinue Reading