Four short links: 24 September 2018
Continuous Delivery, Turing Complete Powerpoint, ARPA-E, and Observability
Continuous Delivery, Turing Complete Powerpoint, ARPA-E, and Observability
Linux Foundation, Data Unit Tests, Software Pooping the World, and Predictions
The economy we want to build must recognize increasing the value to and for humans as the goal.
Code of Conduct Software, Decision Matrices, Festival of Maintenance, Ambisonic 3D
Golden Age of Software, Another Better C, Robot String Art, and Automated Game Design
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.