Andrew Ng at Amazon re:MARS 2019
Community

Andrew Ng at Amazon re:MARS 2019

In eras of technological disruption, leadership matters.    Andrew Ng speaks about the progress of AI, how to accelerate AI adoption, and what’s around the corner for AI at Amazon re:MARS 2019 in Las Vegas,…

Pie & AI: TensorFlow Specialization Launch @ Google HQ
Community

Pie & AI: TensorFlow Specialization Launch @ Google HQ

To celebrate the launch of the final course in the deeplearning.ai TensorFlow Specialization, we hosted our third Pie & AI meetup at Google’s headquarters in Sunnyvale! Andrew was joined by TensorFlow Specialization instructor Laurence Moroney,…

Working AI: At the Office with VP of Applied Deep Learning Research Bryan Catanzaro
Community

Working AI: At the Office with VP of Applied Deep Learning Research Bryan Catanzaro

Bryan Catanzaro began his career designing microprocessors. Now he leads a team of 40 researchers pushing the boundaries of deep learning at Nvidia.

Working AI: At the Office with Principal Data Scientist Mihajlo Grbovic
Community

Working AI: At the Office with Principal Data Scientist Mihajlo Grbovic

In my line of work–recommending items to users and ranking the items in their searches–the objective is almost impossible to define because the perfect recommendation or ranking does not exist.

Working AI: In the Classroom with Younes Mourri
Community

Working AI: In the Classroom with Younes Mourri

Younes is both Masters student and Lecturer at Stanford University. Rather than cutting-edge research, Younes focuses on AI education. He has developed content for the most popular Machine Learning and Deep Learning courses in the world…

How to Develop Your Own AI Playbook: Andrew Ng and Will Knight at MIT Tech Review’s 2019 EmTech Digital
Community

How to Develop Your Own AI Playbook: Andrew Ng and Will Knight at MIT Tech Review’s 2019 EmTech Digital

Andrew Ng and MIT Tech Review’s Senior AI Editor Will Knight close out EmTech Digital on March 26, 2019 in San Francisco. Andrew reflects on how his own experiences leading the Google Brain team and…

Working AI: At the Office with MLE Ruben Sipos
Community

Working AI: At the Office with MLE Ruben Sipos

Location: San Francisco, California Age: 33 Education: B.Sc. in Computer Science and Mathematics, 2009, University of Ljubljana, PhD in Computer Science, 2014, Cornell University Years in industry: 5 Favorite movie: Event Horizon (1997) Favorite machine learning researcher: Thorsten…

Working AI: At the Office with Research Engineer Will Wolf
Community

Working AI: At the Office with Research Engineer Will Wolf

  How did you first get started in AI? I’ve always loved mathematics. When I was a teenager, I was what I call a semi-professional internet poker player. This left three profound marks on my…

Working AI: In the Lab with NLP PhD Student Abigail See
Community

Working AI: In the Lab with NLP PhD Student Abigail See

Abi See made the transition from pure math to deep learning. Now she aims to turn computers into storytellers.

Working AI: At the Office with Data Scientist Joe Gambino
Community

Working AI: At the Office with Data Scientist Joe Gambino

Working at IDEO has let me work on a wide range of problems: I’ve used clustering and dimensionality reduction to create a prototype that communicates health data while encouraging empathy and engagement. I’ve run traffic simulations to assess the size of delivery markets and prototyped animated, interactive explanations inspired by those simulations. I’ve built internal React web-apps for collecting data and texting customers.

Working AI: At the Office with Applied Scientist Matineh Shaker
Community

Working AI: At the Office with Applied Scientist Matineh Shaker

How is an Applied Scientist different from a Machine Learning Engineer? We went to straight to the source and interviewed Microsoft Applied Scientist Matineh Shaker about how she got here, what she’s working on, and how she keeps learning.

Working AI: At the Office with MLE Dillon Laird
Community

Working AI: At the Office with MLE Dillon Laird

What does a Machine Learning Engineer actually do all day? Meet MLE Dillon Laird, and hear about what he’s working on at Landing AI, what tech stack he uses, and how he keeps up on the latest research and news.

ACM Webinar: Q&A with Andrew Ng on Building a Career in Machine Learning
Community

ACM Webinar: Q&A with Andrew Ng on Building a Career in Machine Learning

When I look at the work that I do in AI, frankly a lot of it is dirty work. It’s downloading that dataset, cleaning that dataset, plotting a learning curve and trying to figure out…

Deep Learner Spotlight: Christine Payne
Breaking Into AI

Deep Learner Spotlight: Christine Payne

Introduce yourself: What’s your background? Did you have a technical role prior to enrolling in the course? Throughout my life I’ve juggled my love of both science and music. I was a physics major in…

Deep Learner Spotlight: Wolfgang Reuter
Breaking Into AI

Deep Learner Spotlight: Wolfgang Reuter

Introduce yourself: What’s your background? I am a Senior AI Strategist in the applied AI initiative at Unternehmertum, a German start-up incubator and innovation consultancy. I also work freelance as an AI programmer. These jobs…

“The Enterprise Path to AI:” Andrew at the Samsung CEO Summit
Community

“The Enterprise Path to AI:” Andrew at the Samsung CEO Summit

  Take AI not just to the great shiny tech companies, but also to industries like manufacturing, agriculture, or healthcare where the value creation is very large. How can enterprises can transform using AI? Andrew…

Atlantic Festival: Senior Atlantic Editor Ross Anderson Sits Down With Andrew Ng
Community

Atlantic Festival: Senior Atlantic Editor Ross Anderson Sits Down With Andrew Ng

  Andrew Ng and Atlantic Senior Editor Ross Andersen spoke at the Atlantic Festival in Washington DC on October 4th, 2018. Andrew and Ross discuss the global effects of AI – its upside and its…

IFC Emerging Markets Venture Forum: World Bank President Jim Yong Kim Sits Down With Andrew Ng
Community

IFC Emerging Markets Venture Forum: World Bank President Jim Yong Kim Sits Down With Andrew Ng

What can developing countries do to benefit from AI?   Skip to 21:45 to watch World Bank President Jim Yong Kim and Andrew’s fireside chat at the IFC Emerging Markets Venture Forum on October 4,…

Heroes of Deep Learning: Dawn Song
AI Heroes

Heroes of Deep Learning: Dawn Song

Dawn Song is well-known for her research on the intersection of deep learning and security. Aside from her research, Song is also a Professor in the Department of Electrical Engineering and Computer Science at UC Berkeley and CEO of Oasis Labs, a blockchain startup that is creating a privacy-first cloud computing platform on blockchain.

Deep Learner Spotlight: Jan Zawadzki
Breaking Into AI

Deep Learner Spotlight: Jan Zawadzki

Introduce yourself: What’s your background? Did you have a technical role prior to enrolling in the course? My background is split between a traditional business education and a computer science education. I studied Business Administration…