Lynx Roundup, October 31st 2020

Lynx Roundup, October 31st 2020

Typed functional dependency injection in Python! Designing optimal experiments with Pyro! Scientists break Google's quantum algorithm!

Matthew Alhonte
Matthew Alhonte
Typed functional Dependency Injection in Python
Dependency injection is a controversial topic. There are known problems, hacks, and even whole methodologies on how to work with DI frameworks. It is not the case when using functional approach: which is simple and explicit.
Mapping cells to build a complete atlas of the human body
An international team makes progress
Announcing a New Framework for Designing Optimal Experiments with Pyro
Uber AI released a new framework on top of Pyro that lets experimenters seamlessly automate optimal experimental design (OED) for quicker model iteration.
Tracking the state of AWS Lambda functions | Amazon Web Services
AWS Lambda functions often require resources from other AWS services in order to execute successfully, such as AWS Identity and Access Management (IAM) roles or Amazon Virtual Private Cloud (Amazon VPC) network interfaces. When you create or update a function, Lambda provisions the required resource…
Scientists break Google’s quantum algorithm
Google is racing to develop quantum-enhanced processors that use quantum mechanical effects to increase the speed at which data can be processed. In the near term, Google has devised new quantum-enhanced algorithms that operate in the presence of realistic noise. The so-called quantum approximate op…
stellargraph/stellargraph
StellarGraph - Machine Learning on Graphs. Contribute to stellargraph/stellargraph development by creating an account on GitHub.
Gallery
Making papers and other scientific reports easier to read
Roundup

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.