Most prediction market contracts have low volume, leaving users exposed to volatility and bots

Volume has exploded on prediction market platform Polymarket since its launch, with notable surges during the 2024 election ...
PC Tech Magazine

Best machine learning development companies for time series forecasting (2026)

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

Patch AM: See what new development and housing data reveals about Reston’s future

Be sure to catch July 4th Weekend At National Harbor on the Reston Patch calendar ...
Redmond Pie

What I Think About The 6 Best Backlink APIs: My Honest Comparison

I have tested every major backlink API provider in the game. Here is my senior-level breakdown of the best backlink API options for white/gray-hat pros.
IEEE

Improving Weather Forecast Accuracy Using Hybrid Machine Learning Algorithms

Abstract: Weather prediction, particularly for rainfall, temperature and relative humidity (RH%), is critical for climate-sensitive industries such as agriculture and disaster relief. This paper ...

AI-based demand forecasting creates planning reliability in the textile industry

How can sales figures be forecast more reliably, production capacities planned fully digitally, and employee know-how ...
GitHub

Autoresearch for weather dycores.

Autoresearch for weather dycores. Contribute to khzhao/dynamaxx development by creating an account on GitHub.
IEEE

Developments and Trends in Water Level Forecasting Using Machine Learning Models—A Review

Abstract: Water level forecasting in rivers, lakes, and reservoirs is crucial for effective water resource management, flood control, and environmental planning. This review examines the latest ...