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Uber AI Labs - Evolving to Learn through Synaptic Plasticity - Ken Stanley

Ken Stanley is a Professor at the University of Central Florida Dept. of Computer Science and a founding member of Uber AI labs. Recorded December 7th ...

Uber Technology Day: Thinking Like a Human: Toward Flexible Artificial Intelligence

Noah Goodman, a fellow at Uber AI Labs and an associate professor of psychology, computer science, and linguistics at Stanford University, discussed some of ...

Why Uber Is Building an AI Team in Toronto

Uber Technologies Inc., in the midst of legal battle with Alphabet Inc. over self-driving car technology, is building a new artificial intelligence team in Toronto to ...

Uber Tech Day: Applied AI In Financial Forecasting

Uber uses data science and machine learning to enable more strategic financial forecasting and planning, paving the way for the continued growth of the ...

Introduction to Machine Learning at Uber

Uber is different from many tech companies in that its core mission depends on the real-time physical world. During Uber Engineering's first Machine Learning ...

Machine Learning at Uber (Natural Language Processing Use Cases)

At Uber, we are using natural language processing and conversational AI to improve the user experience. In my talk I will be delving into 2 use cases. In the first ...

The Frontiers of Machine Learning and AI - Zoubin Ghahramani (Uber | University of Cambridge)

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Artificial Intelligence needs all of us | Rachel Thomas P.h.D. | TEDxSanFrancisco

Rachel Thomas is a deep learning researcher, she is the cofounder of fast.ai which created the “Practical Deep Learning for Coders” course that over 100000 ...

Edward Snowden - Speaks on Uber Hack, AI, Cloud Computing & Phones Always Watching

TV-Novosti.com & Western Truth TV: Sponsored by #LIFTMODE! Support our channel/s and get 10% OFF you're #Products Go to ..

The Rise of AI

There's an AI revolution sweeping across the world. Yet few people know the real story about where this technology came from and why it suddenly took off.