Letters
Building Your AI Career: A Report by Workera
Many accomplished students and newly minted AI engineers ask me: How can I advance my career? Companies in many industries are building AI teams, but it may not be obvious how to join one of them.
Analytics DeepLearning.AI
The Batch Newsletter
The Batch: Facebook Takes on Deepfakes, Google AI Battles Cancer, Researchers Fight ImageNet Bias, AI Grows Globally
Many accomplished students and newly minted AI engineers ask me: How can I advance my career? Companies in many industries are building AI teams, but it may not be obvious how to join one of them. Different companies organize their teams differently and...
The Batch Newsletter
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...
Letters
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.
Interviews & Essays
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.
Interviews & Essays
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.
Interviews & Essays
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.
Interviews & Essays
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.
Interviews & Essays
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...
Interviews & Essays
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.
Interviews & Essays
Chelsea Finn — Robots That Generalize: Generalization for robotics through reinforcement learning
Many people in the AI community focus on achieving flashy results, like building an agent that can win at Go or Jeopardy. This kind of work is impressive in terms of complexity.
Interviews & Essays
Oren Etzioni — Tools For Equality: How AI can help improve accessibility
In 2020, I hope the AI community will grapple with issues of fairness in ways that tangibly and directly benefit disadvantaged populations.