Late at night, Fumikura-yohi's eyes widen at a line in the mass-production log.This article was written from the perspective ...
NVIDIA announced Kumo Forecast on October 21, 2026, an open multivariate time-series forecasting model that combines a ...
Anaconda now hosts 2,500 Arm packages, while NumPy and SciPy publish native wheels to aid data scientists migrating off ...
A funded Data Science and Machine Learning Fellowship in Cape Town is offering recent MSc, PhD and first-class Honours graduates the opportunity to apply ...
"I want to meet a talking fish like Nemo!" When I chased that dream with AI, a 24-layer guppy gave me an incredible response!
There’s no point curating your CV for a banking technology role if you can’t get the fundamentals right: Everyone is using AI ...
Provides a class to process images from various satellites, return: geographic information, cloud mask, reflectance, brightness temperature. At this point, Landsat 5 ...
Robot swarms classify arena shapes by estimating a global spectral signature from information exchanged between robots.
The bite of a female mosquito is the critical point of pathogen transmission, yet the fine-scale biting dynamics on human skin remain unknown. Here, we combine high-speed videography, ...
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.
Timestral is a family of time series foundation models for zero-shot forecasting, available in 5M, 28M, 123M, and 209M parameter versions. This repository contains the 209M checkpoint. Timestral ...
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