Four short links: 18 September 2018
Causal Inference, Remote Only, Human Augmentation, and C64 OS
Causal Inference, Remote Only, Human Augmentation, and C64 OS
Wasted Time, Caught Marshmallows, One-Command Language, and The 9.9%
Automatic Bugfixes, Research Code, Automatic Diagrams, and Alexa Mapped
Amber Case covers methods product designers and managers can use to improve interactions through an understanding of sound design.
Hilary Mason explores the current state of AI and ML and what’s coming next in applied ML.
Julia Angwin discusses what she's learned about forgiveness from her series of articles on algorithmic accountability and the lessons we all need to learn for the coming AI future.
Amanda Pustilnik highlights potential applications of data from new technologies that capture brain-based processes.
Jacob Ward reveals the relationship between the unconscious habits of our minds and the way that AI is poised to amplify them, alter them, maybe even reprogram them.
ML Inspection, Enterprise Architecture, n=1 Study, and EU Shoots Own Foot
Watch highlights from expert talks covering data science, machine learning, algorithmic accountability, and more.
Executives from Cloudera and PNC Bank look at the challenges posed by data-hungry organizations.
Ben Lorica offers an overview of recent tools for building privacy-preserving and secure machine learning products and services.
Cassie Kozyrkov explores why businesses fail at machine learning despite its tremendous potential and excitement.
Joseph Lubin explains how Ethereum can help with new innovations like cryptocurrencies, automated and self-executing legal agreements, and self-sovereign identity.
Millibytes, Webpage Bloat, Neuromorphic Computing, and UX Dark Patterns
It has become much more feasible to run high-performance data platforms directly inside Kubernetes.
Serverless, Predicting Personality, Broken Design, and Hamming Lectures
If we’re going to think about the ethics of data and how it’s used, then we have to take into account how data flows.