Lynx Roundup, March 1st 2020

Lynx Roundup, March 1st 2020

Python library providing data structures and operations for intervals! From Markowitz to reinforcement learning! An intro MLFlow!

Matthew Alhonte
Matthew Alhonte

Scientists finally find superconductivity in place they have been looking for decades
Researchers at Stanford University and the Department of Energy’s SLAC National Accelerator Laboratory say they have found the first, long-sought proof that a decades-old scientific model of material behavior can be used to simulate and understand high-temperature superconductivity ­- an important s…
A Python library providing data structure and operations for intervals - AlexandreDecan/python-intervals
LEGB? Meet ICPO, Python’s search strategy for attributes
AI for portfolio management: from Markowitz to Reinforcement Learning
In this article many advanced AI algorithms for portfolio management and asset allocation are shown alongside their source code and evaluations on the datasets. Contact Neurons Lab for more details
Consciousness-specific dynamic interactions of brain integration and functional diversity
How do diversity (entropy) and integration of activity across brain regions interact to support consciousness? Here the authors show that anaesthetised individuals and patients with disorders of consciousness exhibit overlapping reductions in both diversity and integration in the brain’s default mod…
Scientists have shown the perfect way to make pancakes, and that has huge implications
Some science is labeled “silly” by the media and politicians, but don’t be fooled — simple research is important
Feature Factories pt 2: An Introduction to MLFlow
If you read my first article you hopefully have a good understanding of what a feature factory is, why it’s important, and a general idea of how to best cultivate one. If you haven’t, I suggest you…

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.