All

All of our Ideas and Learning material from all of our topics.

Stereogram
AI

Learning from adversaries

Adversarial images aren’t a problem—they’re an opportunity to explore new ways of interacting with AI.

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Antique car

Managing machines

Pete Skomoroch covers what you need to know as we shift from a world of deterministic programs to systems that give unpredictable results on ever-changing training data.

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Dandelion

Open source force multipliers

Adrian Cockcroft says the most successful open-source-based businesses have turned their partners and developer communities into force multipliers for their own marketing and engineering teams.

Circles
AI

The circle of fairness

We shouldn't ask our AI tools to be fair; instead, we should ask them to be less unfair and be willing to iterate until we see improvement.

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UC Berkeley
AI

AI and systems at RISELab

Ion Stoica outlines a few projects at the intersection of AI and systems that UC Berkeley's RISELab is developing.

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Bubbles
AI

The future of machine learning is tiny

Pete Warden digs into why embedded machine learning is so important, how to implement it on existing chips, and shares new use cases it will unlock.

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Shopping carts
AI

AI and retail

Mikio Braun takes a look at Zalando and the retail industry to explore how AI is redefining the way ecommerce sites interact with customers.