Four short links: 14 May 2018
Ridesharing Suburbia, Dunbar's Number, Event Sourcing, and Product Failures
Ridesharing Suburbia, Dunbar's Number, Event Sourcing, and Product Failures
Leaked Secrets, WFH Productivity, Developer Growth, and Capture the Flag
Game Development, Fake Reviews, Super-Resolution, and Speech Synthesis
Fact Verification Data Set, Forecasting Software, Image Enhancement, and Effective Teamwork
Infrastructure Testing, Algorithm Check, Parallel Texts, and Dead Pixels
Teaching Programming Languages, Security Training, Manager READMEs, and Digital Expression
Data Science Ethics, Networks and Markets, Chinese Sesame, and Refactoring Into Microservices
MySQL Migrations, 3D Faces, Economics of Privacy, and Peter Principle
Olga Russakovsky explains how her organization, AI4ALL, aims to increase diversity and inclusion in AI development and research.
Meihong Wang explains how Facebook thinks about personalization and how the company uses machine learning to provide personalized experiences.
Thomas Reardon offers an overview of brain-machine interface (BMI) technology and shares CTRL-Labs’s transformative and noninvasive neural interface approach.
George Church discusses the IARPA MICrONS project, which aims to revolutionize machine learning by reverse-engineering the algorithms of the brain.
Dario Gil explores state-of-the-art computing for AI as it exists today as well as an innovation that will lead us into the decades to come: quantum computing for AI.
FPGA, Comics, Charts, and Learning to Code
Ben Lorica and Roger Chen discuss the state of reinforcement learning and automation.
Manuela Veloso looks at the role humans can play in autonomy-based AI interactions and the underlying challenges to AI.
Fiaz Mohamed explains how Intel AI solves today’s business problems.
Kavya Kopparapu shares her inspiration for starting GirlsComputingLeague.