Jan 01, 2020

22 Posts

Hopes for AI in 2020: Yann LeCun, Kai-Fu Lee, Anima Anandkumar, Richard Socher
Jan 01, 2020

Hopes for AI in 2020: Yann LeCun, Kai-Fu Lee, Anima Anandkumar, Richard Socher

Happy New Year! Every winter holiday, I pursue a learning goal around a new topic. In between visits with family, I end up reading a lot. About a decade ago, my holiday topic was pedagogy — I still remember lugging a heavy suitcase of books through the airport — and this...

13 min read
Hopes for AI in 2020: Yann LeCun, Kai-Fu Lee, Anima Anandkumar, Richard Socher
Jan 01, 2020

Hopes for AI in 2020: Yann LeCun, Kai-Fu Lee, Anima Anandkumar, Richard Socher

Happy New Year! Every winter holiday, I pursue a learning goal around a new topic. In between visits with family, I end up reading a lot. About a decade ago, my holiday topic was pedagogy — I still remember lugging a heavy suitcase of books through the airport — and this...

13 min read
The Key to Longevity
Jan 01, 2020

The Key to Longevity

Happy New Year!Every winter holiday, I pursue a learning goal around a new topic. In between visits with family, I end up reading a lot.

1 min read
The Key to Longevity
Jan 01, 2020

The Key to Longevity

Happy New Year!Every winter holiday, I pursue a learning goal around a new topic. In between visits with family, I end up reading a lot.

1 min read
Zhi-Hua Zhou — Fresh Methods, Clear Guidelines: Professor Zhi-Hua Zhou's AI hopes for 2020
Jan 01, 2020

Zhi-Hua Zhou — Fresh Methods, Clear Guidelines: Professor Zhi-Hua Zhou's AI hopes for 2020

I have three hopes for 2020: Hope that advanced machine learning techniques beyond deep neural networks can emerge. Neural networks have been studied and applied by many researchers, engineers, and practitioners for a long time.

1 min read
Zhi-Hua Zhou — Fresh Methods, Clear Guidelines: Professor Zhi-Hua Zhou's AI hopes for 2020
Jan 01, 2020

Zhi-Hua Zhou — Fresh Methods, Clear Guidelines: Professor Zhi-Hua Zhou's AI hopes for 2020

I have three hopes for 2020: Hope that advanced machine learning techniques beyond deep neural networks can emerge. Neural networks have been studied and applied by many researchers, engineers, and practitioners for a long time.

1 min read
Dawn Song — Taking Responsibility for Data: The importance of a responsible data economy
Jan 01, 2020

Dawn Song — Taking Responsibility for Data: The importance of a responsible data economy

Datasets are critical to AI and machine learning, and they are becoming a key driver of the economy. Collection of sensitive data is increasing rapidly, covering almost every aspect of people’s lives.

2 min read
Dawn Song — Taking Responsibility for Data: The importance of a responsible data economy
Jan 01, 2020

Dawn Song — Taking Responsibility for Data: The importance of a responsible data economy

Datasets are critical to AI and machine learning, and they are becoming a key driver of the economy. Collection of sensitive data is increasing rapidly, covering almost every aspect of people’s lives.

2 min read
Richard Socher — Boiling the Information Ocean: Using AI summarization to help with information overload
Jan 01, 2020

Richard Socher — Boiling the Information Ocean: Using AI summarization to help with information overload

Ignorance is a choice in the Internet age. Virtually all of human knowledge is available for the cost of typing a few words into a search box.

2 min read
Richard Socher — Boiling the Information Ocean: Using AI summarization to help with information overload
Jan 01, 2020

Richard Socher — Boiling the Information Ocean: Using AI summarization to help with information overload

Ignorance is a choice in the Internet age. Virtually all of human knowledge is available for the cost of typing a few words into a search box.

2 min read
David Patterson — Faster Training and Inference: Using MLPerf to test new AI hardware
Jan 01, 2020

David Patterson — Faster Training and Inference: Using MLPerf to test new AI hardware

Billions of dollars invested to create novel AI hardware will bear their early fruit in 2020. Google unleashed a financial avalanche with its tensor processing unit in 2017.

1 min read
David Patterson — Faster Training and Inference: Using MLPerf to test new AI hardware
Jan 01, 2020

David Patterson — Faster Training and Inference: Using MLPerf to test new AI hardware

Billions of dollars invested to create novel AI hardware will bear their early fruit in 2020. Google unleashed a financial avalanche with its tensor processing unit in 2017.

1 min read
Kai-Fu Lee — AI Everywhere: The expanding business possibilities for AI
Jan 01, 2020

Kai-Fu Lee — AI Everywhere: The expanding business possibilities for AI

Artificial intelligence has moved from the age of discovery to the age of implementation. Among our invested portfolios, primarily in China, we see flourishing applications using AI and automation in banking, finance, transportation, logistics, supermarkets, restaurants, warehouses, factories...

1 min read
Kai-Fu Lee — AI Everywhere: The expanding business possibilities for AI
Jan 01, 2020

Kai-Fu Lee — AI Everywhere: The expanding business possibilities for AI

Artificial intelligence has moved from the age of discovery to the age of implementation. Among our invested portfolios, primarily in China, we see flourishing applications using AI and automation in banking, finance, transportation, logistics, supermarkets, restaurants, warehouses, factories...

1 min read
Yann LeCun — Learning From Observation: The power of self-supervised learning
Jan 01, 2020

Yann LeCun — Learning From Observation: The power of self-supervised learning

How is it that many people learn to drive a car fairly safely in 20 hours of practice, while current imitation learning algorithms take hundreds of thousands of hours, and reinforcement learning algorithms take millions of hours? Clearly we’re missing something big.

2 min read

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