The new norms of cloud native
Cheryl Hung discusses the state of cloud native tools and communities.
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Observability: Understanding production through your customers’ eyes
Christine Yen says observability isn’t just for ops folks, but it’s not only about engineering roles, either.
Secure reliable systems
Ana Oprea provides insights and strategies for baking security into your systems.
My love letter to computer science is very short and I also forgot to mail it
James Mickens shares his concerns and frustrations with today's technology.
Everything is a little bit broken; or, The illusion of control
Heidi Waterhouse outlines ways to handle uncertainty by adding in error budgets, layered access, and other accommodations for failure.
Four short links: 6 November 2019
Functional Programming, Fake News in Elections, De-Identification in Video, and Sendmail Lessons Learned
It’s important to cultivate your organization’s collective genius
Pamela Rucker talks about designing an organization optimized for employee growth.
Four short links: 5 November 2019
Money Laundering, Privacy Unix, Technical Decisions, and Automated Security Playbooks
Four short links: 4 November 2019
Disinformation, Ticketing, Run a City Like a Company, and In-Browser Ultrasonic Data Transfer
Quantum computing’s potential is still far off, but quantum supremacy shows we’re on the right track
In this edition of the Radar column, we explore Google’s quantum supremacy milestone.
Four short links: 1 November 2019
Research Tool, Conversational AI, Nothing to Hide, and Battery Ingredients
Highlights from TensorFlow World in Santa Clara, California 2019
Experts explore TensorFlow 2.0's machine learning capabilities as well as the broader tools and applications of TensorFlow.
Sticker recommendations and AI-driven innovations on the Hike messaging platform
Ankur Narang discusses sticker recommendations with multilingual support, a key innovation driven by sophisticated natural language processing (NLP) algorithms.
“Human error”: How can we help people build models that do what they expect
Anna Roth discusses human and technical factors and suggests future directions for training machine learning models.
Personalization of Spotify Home and TensorFlow
Tony Jebara explains how Spotify improved user satisfaction by building components of the TFX ecosystem into its core ML infrastructure.
TensorFlow.js: Bringing machine learning to JavaScript
Sandeep Gupta and Joseph Paul Cohen introduce the TensorFlow.js library.
TFX: An end-to-end ML platform for everyone
Konstantinos Katsiapis and Anusha Ramesh dive into the insights and approach that helped TensorFlow Extended (TFX) reach its current popularity within Alphabet.
MLIR: Accelerating AI
Chris Lattner and Tatiana Shpeisman explain how MLIR addresses the complexity caused by software and hardware fragmentation.