H2O.ai's TimeH2O Beats Mistral, Google, and Amazon in Time-Series Forecasting

H2O.ai, the trusted Sovereign AI Platform with the software and expertise to run predictive, generative, and agentic AI in ...

PathFM: A New Framework for Multivariate Time Series Forecasting

What you will gain from this article・ PathFM's generative approach and its technical architecture・ PathFM's performance and ...

Mistral releases time-series AI 'Timestral'. Points to consider for demand forecasting

An AI has been released that predicts numerical values arranged in chronological order, such as sales, access counts, inventory levels, and sensor readings.On October 15, 2026, Mistral AI announced ...
Unite.AI

NVIDIA Announces Open Kumo Forecast Multivariate Time-Series Model

NVIDIA announced Kumo Forecast on October 21, 2026, an open multivariate time-series forecasting model that combines a ...
YourStory

YUG 1: Birla AI Labs’ India-built model for time-series forecasting

YUG 1 is Birla AI Labs’ new time-series foundation model, built to forecast business and operational data without ...
MarkTechPost

Mistral AI Releases Timestral: A 209M Forecasting Model Family That Outperforms Google’s TimesFM-3

Mistral Timestral is a time series foundation model family, 5M to 209M parameters, forecasting zero-shot on a CPU.
BIOENGINEER

Prompt-engineered embeddings fail to beat strong tabular models in demand forecasting benchmark

A new benchmark finds that prompt-engineered contextual embeddings improved Random Forest but failed to outperform a strong ...
BERNAMA

H2O.ai’s New Forecasting Model Tops Benchmark Leaderboard

H2O.ai, the trusted Sovereign AI Platform, has released TimeH2O-v1, a time-series foundation model for forecasting that ranks ...
BIOENGINEER

Gaussian Process Model Learns Interpretable Graphs for Clinical Forecasting

A new Gaussian process framework learns sparse, ordered dependency graphs from irregular electronic health records while ...