This valuable study introduces a model to help researchers understand how multivariate processes affect observed relationships in genetic data. The authors provide a tool to estimate model parameters.

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

This repository demonstrates how to convert Hugging Face tokenizers to ONNX format and use them along with embedding models in multiple programming languages. While we can easily download ONNX models ...

Abstract: Multivariate time series forecasting plays a critical role in fields such as finance, health, weather, and energy. However, multivariate time series data encountered in real-world settings ...

ABSTRACT: This paper investigates the influence of environmental regulations on the adoption of Corporate Social Responsibility practices among Small and Medium-sized Enterprises in Cameroon. It ...

OpenAI released its newest AI model that it said can understand uploaded images like whiteboards, sketches and diagrams, even if they're low quality. The company called o3 its most advanced model yet ...

There are numerous ways to run large language models such as DeepSeek, Claude or Meta's Llama locally on your laptop, including Ollama and Modular's Max platform. But if you want to fully control the ...

This code repository contains a Python wrapper for the NTIA/ITS implementation of the Low Frequency / Medium Frequency (LF/MF) Propagation Model. LF/MF predicts basic transmission loss in the ...

ABSTRACT: A field survey was carried out to model farmers’ vulnerability to climate variability and extreme events in selected agroecological zones in Kitui County. The indicator approach was used to ...

Abstract: Long-term forecasting of multivariate time series has been an important research issue in the field of data mining and knowledge discovery. Fuzzy information granularity is used as an ...