Anonymous ID: 756d7e Jan. 11, 2021, 8:26 p.m. No.12476241   🗄️.is 🔗kun

A group of Democrats led by Representative Ayanna Pressley and Senator Richard Durbin will introduce legislation to ban the federal death penalty following the resumption of executions by the Trump administration after a 17-year hiatus.

 

The proposed Federal Death Penalty Prohibition Act of 2021 would prohibit capital punishment at the federal level and require re-sentencing of those on death row. Pressley, a Massachusetts representative, and Durbin, a senator from Illinois, will be joined by 70 members of Congress in introducing the legislation.

 

Skeeerd!

https://www.msn.com/en-us/news/politics/democrats-to-introduce-bill-to-ban-federal-death-penalty/ar-BB1cFmMY

Anonymous ID: 756d7e Jan. 11, 2021, 9:15 p.m. No.12476854   🗄️.is 🔗kun

ALAMO

A Novel Machine Learning Software

ALAMO is for people who want to build algebraic models from data and first principles while ensuring that those models are accurate and as simple as possible. Since its introduction in 2018, ALAMO has been used by hundreds of engineers and data scientists in industries including automation, chemicals, pharmaceuticals, computer software, and manufacturing.

Innovation

ALAMO (Automated Learning of Algebraic Models) combines data and first principles to introduce powerful new capabilities in machine learning. ALAMO is the only software capable of imposing physical constraints on machine learning models, enabling users to build accurate models from small datasets. ALAMO was the focus of a $100 million DOE program that involved five DOE national labs and won a 2016 R&D 100 Award.

 

Accurate and Interpretable

ALAMO uses machine learning to generate accurate, interpretable models with a few clicks. Using powerful embedded optimization technology, ALAMO can interface directly with simulators to sample as few data as possible. By generating the simplest possible models that fit your data, ALAMO allows you to get insightful representations of data and results.

 

https://minlp.com/alamo