PCMagOpinion

Stop Chasing the Latest AI Models: They're Rarely Worth Your Time or Money

Unless you're coding or stress-testing benchmarks, the "latest and greatest" usually won't change how you use AI.
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 ...
IEEE

TSB-Forecast: A Short-Term Load Forecasting Model in Smart Cities for Integrating Time Series Embeddings and Large Language Models

Abstract: In smart cities, energy management systems are essential for efficient resource utilization, enhanced operational efficiency, and sustainability promotion. This work presents a novel load ...

digna Introduces Python SDK and Docker Deployment in Release 2026.06

Vienna, Austria, June 25, 2026 — digna, the European data quality and observability platform, today announced the release of digna 2026.06, introducing a new Python SDK and Docker deployment support ...
InfoWorld

Using Visual Studio Code’s ‘air-gapped’ AI model mode

VS Code can use LLM models other than GitHub Copilot’s built-in providers for AI-assisted development, including local and ...
GitHub

Toto - Time Series Optimized Transformer for Observability

Toto is a foundation model for multivariate time series forecasting with a focus on observability metrics. Toto 2.0 is the current recommended release, featuring a family of u-μP-scaled models ranging ...
IEEE

Optimized Time Series Feature Selection for Manufacturing AI: Reducing Complexity and Improving Classification Accuracy

Abstract: Although AI enhances productivity and quality in manufacturing, real-time validation remains difficult due to the complexity and high-dimensionality of time series data under strict ...