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 ...
InfoQ

Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...
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

Transformers for Multivariate Time Series Forecasting: Comprehensive Analysis, Challenges, Research Opportunities, and Future Prospects

Abstract: Multivariate time series (MTS) forecasting appears in many applied settings, ranging from finance and healthcare to energy systems, climate analysis, and IoT-based platforms. In these fields ...
IEEE

Smoothing and Matrix Decomposition-Based Stacked Bidirectional GRU Model for Machine Downtime Forecasting

Abstract: The machine downtime occurring during routine production (MDT_RP) because of recessive disturbances (RecDs) can cause huge economic losses and slow down production. In modern industries, ...
GitHub

Spikora Neural Research

Spikora Neural Research is an open-source research organization focused on spiking neural networks and energy-efficient deep learning. Our goal is to make research on third-generation neural networks ...