IEEE

Explainable Machine Learning for Radio Environment Mapping: An Intelligent System for Electric Field Strength Monitoring

Abstract: The accurate characterization of signal propagation is critical for optimizing wireless network performance and supporting applications such as electromagnetic field (EMF) exposure ...
InfoQ

Vercel Open-Sources Bash Tool for Context Retrieval Using Local Filesystems

Vercel has open-sourced bash-tool that provides a Bash execution engine for AI agents, enabling them to run filesystem-based ...
IT-Online

Machine Learning Engineer (Model Deployment or MLOps) (CPT Hybrid or Remote)

ENVIRONMENT: A fast-paced FinTech company seeks a passionate Machine Learning Engineer (MLOps focus) to power instant lending decisions – no humans in the loop. Its models drive credit risk, portfolio ...
IT-Online

Machine Learning Engineer (Model Deployment or MLOps) (CPT Hybrid or Remote) – Western Cape Cape Town

ENVIRONMENT: A fast-paced FinTech company seeks a passionate Machine Learning Engineer (MLOps focus) to power instant lending decisions – no humans in the loop. Its models drive credit risk, portfolio ...
Beebom

AI vs Machine Learning: What is the Difference?

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
Scientific Research Publishing

Alamdari, S., Basiri, M., Mousavi, A. and Soofastaei, A. (2022) Application of Machine Learning Techniques to Predict Haul Truck Fuel Consumption in Open-Pit Mines. Journal of ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
Frontiers

Decoding the association between health level and human settlements environment: a machine learning-driven provincial analysis in China

Background: Rapid urbanization in China has significantly reshaped the human settlement environment (HSE), bringing opportunities and challenges for public health. While existing studies have explored ...
AppleInsider

Apple Silicon machine learning code may become more easily portable to Nvidia hardware

A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...
Frontiers

Advances in machine learning for the detection and characterization of microplastics in the environment

1 Department of Environmental Sciences, Jahangirnagar University, Dhaka, Bangladesh 2 Division of Translational Cancer Research, Department of Laboratory Medicine, Lund University, Lund, Sweden ...
devdiscourse

Machine learning model closes weather forecast gaps in India's remote regions

India’s rural and remote regions, home to millions dependent on accurate climate prediction, continue to suffer from unreliable weather forecasts due to poor data coverage. Traditional meteorological ...