Four short links: 8 June 2018
Representative Recognition, Cyberwar, Data Science Projects, and Conversational Failure
All Articles
Four short links: 7 June 2018
Algorithmic Accountability, Killing Project Maven, AI Scares Past, and Submarine Data Center
Four short links: 6 June 2018
Future Analytics, Personal Data, Wireless Power, Counterintuitive Probability
Lessons learned turning machine learning models into real products and services
Why model development does not equal software development.
Four short links: 5 June 2018
Reinforcement Learning Notebooks, Music Translation, Service Fabric, and Nat Friedman
Four short links: 4 June 2018
Infinite Walking, Security Class, Collaborative Data Structures, and Brain Class
Four short links: 1 June 2018
AI Touch, Drone Delivery, WTF, and Javascript Robotics
Steering around blockchain hype
When we finally find the best use cases for blockchains, they may look like nothing we would have expected.
Four short links: 31 May 2018
Internet Trends, Deep Learning, Governing Commons, and Invisible Asymptotes
Four short links: 30 May 2018
Rapidly Learning Games, Geo Toolbox, Philosophy and CS, and Moravec's Paradox
Four short links: 29 May 2018
Data Beats Algorithms, Copyright Futures, Data Privacy, and Cryptocurrency Attacks
Four short links: 28 May 2018
Hypergrowth, Metaphor-Oriented Programming, Zombie Data, and Science Robotics Challenges
Four short links: 25 May 2018
Bitcoin Badness, True Platform, Hardware Details, and Continuous Game of Life
So, you want to be successful in the open future?
Louise Beaumont explores the five characteristics of companies that choose to succeed.
Machine learning: Research & industry
Having worked in both research and industry, Mikio Braun shares insights into what's the same, what's different, and how deep learning might change the game.
When to KISS
Zubin Siganporia explains how the KISS principle (“Keep It Simple, Stupid”) applies to solving problems and convincing end-users to adopt data-driven solutions to their challenges.
Out of the lab and into real life
Christine Foster discusses how today’s academic papers turn into tomorrow’s data science.
The good, the bad, and the internet?
Martha Lane Fox considers the unintended consequences of technology.