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.
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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.
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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...
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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...
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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:...
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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...
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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.
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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.
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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.
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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.
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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...
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Announcing “AI for Everyone”: a new course from deeplearning.ai
Dear Friends, I am excited to announce the newest course from deeplearning.ai, “AI for Everyone.” It will be available on Coursera in early 2019. AI is not only for engineers. This non-technical course...
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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...
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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...
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