Highlights from the Artificial Intelligence Conference in San Francisco 2018

Watch highlights from expert talks covering artificial intelligence, machine learning, security, and more.

By Mac Slocum
September 6, 2018
San Francisco skyline. Artificial Intelligence Conference 2018. San Francisco skyline. Artificial Intelligence Conference 2018.

People from across the AI world came together in San Francisco for the Artificial Intelligence Conference. Below you’ll find links to highlights from the event.

Unlocking innovation in AI

Ben Lorica and Roger Chen provide a glimpse into tools and trends poised to accelerate AI innovation.

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China: AI superpower

Kai-Fu Lee outlines the factors that enabled China’s rapid ascension in AI.

Fireside chat with Tim O’Reilly and Kai-Fu Lee

Tim O’Reilly and Kai-Fu Lee discuss differences in how China and the U.S. approach AI and why AI might give humanity larger purpose.

AI foundations: What shapes the AI that’s shaping our world?

Meredith Whittaker says the benefits of AI will only come if we have a clear-eyed perspective on its dark side.

Using machine learning in workload automation

Akhilesh Tripathi shows you how to use machine learning to identify root causes of problems in minutes instead of hours or days.

AI at scale at Coinbase

Soups Ranjan describes the machine learning system that Coinbase built to detect potential fraud and fake identities.

OpenAI and the path toward safe AGI

Greg Brockman discusses OpenAI’s recent advancements and their implications for how we should plan for creating safe artificial general intelligence (AGI).

Raising AI to benefit business and society

Kishore Durg explains why deploying AI requires raising it to act as a responsible representative of the business and a contributing member of society.

Beyond hype: AI in the real world

Julie Shin Choi reviews real-world customer use cases that take AI from theory to reality.

Machine learning in the cloud

Hagay Lupesko explores key trends in machine learning, the importance of designing models for scale, and the impact that machine learning innovation has had on startups and enterprises alike.

Customized ML for the enterprise

Levent Besik explains how enterprises can stay ahead of the game with customized machine learning.

Accelerating AI on Xeon through SW optimization

Huma Abidi discusses the importance of optimization to deep learning frameworks.

AI and security: Lessons, challenges, and future directions

Dawn Song explains how AI and deep learning can enable better security and how security can enable better AI.

Four success factors for building your AI business journey

Manish Goyal shows you how to best unlock the value of enterprise AI.

The breadth of AI applications: The ongoing expansion

Peter Norvig says one of the most exciting aspects of AI is the diversity of applications in fields far astray from the original breakthrough areas.

Connected arms

Joseph Sirosh tells an intriguing story about AI-infused prosthetics that are able to see, grip, and feel.

A new golden age for computer architecture

David Patterson explains why he expects an outpouring of co-designed ML-specific chips and supercomputers.

Post topics: AI & ML

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