Unite.AI

Thinking Machines Lab Unveils Inkling, Its First Open-Weights Multimodal AI Model

Thinking Machines Lab has released Inkling, its first general-purpose artificial intelligence model, giving developers access ...
MUO on MSN

This is the easiest and quickest way to get started with any AI agent

I asked Claude for a guide to run AI locally on my Mac Mini, then let Cowork skip it and just build the thing.
GitHub

{varguid}: Variance-Guided Regression Improving Upon OLS and ANOVA for Python

varguid is a Python implementation of the stage-1 variance-guided regression method described in: Liu S. and Lu M. (2026). Variance-Guided Regression for Heteroscedastic Data with a Grouping-Based ...
Investopedia

Understanding Ordinary Shares: Definition, Benefits, and Voting Rights

Tim Smith has 20+ years of experience in the financial services industry, both as a writer and as a trader. Thomas J. Brock is a CFA and CPA with more than 20 years of experience in various areas ...
Investopedia

Are Qualified Dividends Included in Ordinary Dividends for Tax Reporting?

Lisa Goetz is a finance content writer for Investopedia. She typically covers insurance, real estate, budgets and credit, and banking and taxes. Andy Smith is a Certified Financial Planner (CFP®), ...
IEEE

Building a Series of Consistent Night-Time Light Data (1992–2018) in Southeast Asia by Integrating DMSP-OLS and NPP-VIIRS

Abstract: Satellite-derived nighttime light (NTL) data from the Defense Meteorological Satellite Program's Operational Linescan System (DMSP-OLS) and the Suomi National Polar-orbiting Partnership ...
IEEE

A Robust Method to Generate a Consistent Time Series From DMSP/OLS Nighttime Light Data

Abstract: The long time series of nighttime light (NTL) data collected by DMSP/OLS sensors provides a unique and valuable resource to study changes in human activities. However, its full time series ...