Four short links: 12 January 2018
Sharing Concepts, Augment Engineers, AI for Good, and AI to Spot Lies
All Articles
We need to build machine learning tools to augment machine learning engineers
As the use of analytics proliferate, companies will need to be able to identify models that are breaking bad.
Four short links: 11 January 2018
Data from PDFs, Unencumbered Media, Unintended Consequences, and AMP Protested
3 technologies business leaders should watch and explore
Artificial intelligence, cloud technologies, and blockchain are big growth areas on O’Reilly’s learning platform.
Four short links: 10 January 2018
Attention Arms Race, Robot/AI Principles, GDPR vs. Ad Tech, and Meltdown Code
Four short links: 9 January 2018
Power With AI, FocusWriter, PC Fonts, and Community Management
5 AI trends to watch in 2018
From methods to tools to ethics, Ben Lorica looks at what's in store for artificial intelligence.
Microservices at scale
Learn about architectural safety measures, scaling data, caching schemes, service discovery, and more.
Four short links: 8 January 2018
Old Unix, Differentiable Programming, Systems Change, and Resilience
What’d I miss?
Tim O'Reilly reflects on the stories from 2017 that played out after he finished writing his new book.
7 systems engineering and operations trends to watch
How edge networks, Kubernetes, serverless and other trends will shape systems engineering and operations.
Four short links: 5 January 2018
Intolerable Speech Rule, Deep Learning, C++ in Jupyter, and Complexity+Game Theory+Economics
5 ways the web will evolve in 2018
Progressive web apps, offline-first development, customer experience, and other web trends to watch.
Four short links: 4 January 2018
State of the World, Implants, Meltdown and Spectre, and Anonymous GitHub
Four short links: 3 January 2018
Charlie Stross, Pepper's Cone, Proving Correctness, and Chutes and Ladders
8 fintech trends on our radar
AI, blockchain, payment regionalization, and other fintech trends to watch.
What lies ahead for data
How new developments in algorithms, machine learning, analytics, infrastructure, data ethics, and culture will shape the data world.
Four short links: 2 January 2018
Public Domain, Training Data, DIY CS Degree, and Collaborative Neural Net Design