Machine learning tools for fairness, at scale
It’s time to think about how the systems we build interact with our world and build systems that make our world a better place.
It’s time to think about how the systems we build interact with our world and build systems that make our world a better place.
Forgetful Google, Machine Comprehension, Music from Space-Filling Curves, and Reading Papers
Use cases and tips to help businesses take full advantage of AI technology.
Computational vs. Inferential Science, Cost of AI Policy Solutions, Google Brain in 2017, and Lego Worms
Sharing Concepts, Augment Engineers, AI for Good, and AI to Spot Lies
As the use of analytics proliferate, companies will need to be able to identify models that are breaking bad.
Data from PDFs, Unencumbered Media, Unintended Consequences, and AMP Protested
Artificial intelligence, cloud technologies, and blockchain are big growth areas on O’Reilly’s learning platform.
Attention Arms Race, Robot/AI Principles, GDPR vs. Ad Tech, and Meltdown Code
Power With AI, FocusWriter, PC Fonts, and Community Management
From methods to tools to ethics, Ben Lorica looks at what's in store for artificial intelligence.
Learn about architectural safety measures, scaling data, caching schemes, service discovery, and more.
Old Unix, Differentiable Programming, Systems Change, and Resilience
Tim O'Reilly reflects on the stories from 2017 that played out after he finished writing his new book.
How edge networks, Kubernetes, serverless and other trends will shape systems engineering and operations.
Intolerable Speech Rule, Deep Learning, C++ in Jupyter, and Complexity+Game Theory+Economics
Progressive web apps, offline-first development, customer experience, and other web trends to watch.
State of the World, Implants, Meltdown and Spectre, and Anonymous GitHub