IEEE

Optimizing Construction Project Scheduling Using Machine Learning and AI-Based Predictive Analytics for Cost and Time Efficiency

Abstract: The paper examines how Hybrid Machine Learning and Real-Time Data Integration can be used to optimize the construction project schedule using the Google Cloud AI Platform. By using the ...
IEEE

Integration of IoT and Machine Learning for Monitoring Rubber Latex Stirrer Motor Systems Using PCA and K-Means Techniques

Abstract: In rubber latex stirrer production systems, monitoring and analyzing multiple variables such as electric current and temperature from three-phase industrial motors is essential for detecting ...
GitHub

end-to-end-ml-project

AI-powered medical imaging system for multi-disease chest X-ray detection,built with EfficientNet deep learning, a FastAPI backend, and an interactive Streamlit dashboard. Deployed on Render for ...
Interesting Engineering

New ‘super-brain’ learns laws of nature to fast-track optical component design

Researchers at Chalmers University of Technology have developed a machine learning system that learns the laws of physics before training, allowing it to design advanced optical materials up to ten ...
techtimes

GitHub Copilot Replaces GPT-4 With Project Polaris, Ships Multi-Agent VS Code at Build

An audience member seated near a Microsoft logo listens as Microsoft Chairman and Chief Executive Officer Satya Nadella speaks during the Microsoft Build conference opening keynote in Seattle, ...
GitHub

TVM FFI: Open ABI and FFI for Machine Learning Systems

Apache TVM FFI is an open ABI and FFI for machine learning systems. It is a minimal, framework-agnostic, yet flexible open convention with the following systems in mind: These enable broad ...