Lynx Roundup, March 22nd 2020

Lynx Roundup, March 22nd 2020

Analyzing 30 years of flight data with Python! Kicking facial recognition out of your town! Machine learning finds new metamaterial designs for energy harvesting!

Matthew Alhonte
Matthew Alhonte

Flying high with Vaex: analysis of over 30 years of flight data in Python
Using the Python DataFrame library Vaex, I present the analysis of nearly 200 million flights made by U.S. carriers. Vaex uses fast out-of-core algorithms, making memory issues a thing of the past.
This is how you kick facial recognition out of your town
Bans on the technology have mostly focused on law enforcement, but there’s a growing movement to get it out of school, parks, and private businesses too.
Machine learning finds new metamaterial designs for energy harvesting
Electrical engineers at Duke University have harnessed the power of machine learning to design dielectric (non-metal) metamaterials that absorb and emit specific frequencies of terahertz radiation. The design technique changed what could have been more than 2000 years of calculation into 23 hours, c…
Data Science’s Most Misunderstood Hero
Be careful which skills you put on a pedestal, since the effects of unwise choices can be devastating. In addition to mismanaged teams and unnecessary hires, you’ll see the real heroes quitting or…
Why is Machine Learning Deployment Hard? - KDnuggets
Developing an excellent machine learning model is one thing. Deploying it to production is another. Consider these lessons learned and recommendations for approaching this important challenge to help ensure value from your AI work.
Patterns for Decentralised Organising
Practical guidance for teams, organisations and networks to manage without hierarchy.

Matthew Alhonte

Supervillain in somebody's action hero movie. Experienced a radioactive freak accident at a young age which rendered him part-snake and strangely adept at Python.