Interesting Engineering

MIT’s GIFT framework improves CAD designs by turning its failures into training data

The shortage of high-quality CAD datasets has slowed AI design tools. MIT researchers may have found a way around that ...
IEEE

Cluster-Driven Block-Flip Transformer with Dynamic Positional Learning for IoT-Based Wind Power Forecasting

Abstract: In Internet of Things (IoT)-enabled energy systems, accurate wind power forecasting is essential for intelligent scheduling and grid stability. However, meteorological and power time series ...
IEEE

AI-Driven Smart Logistics Route Optimization Using IoT and Machine Learning for Efficient Supply Chain Management

Abstract: IoT and Machine Learning-Driven Smart Logistics Route Optimization improves supply chain efficiency by utilizing real-time data and predictive analytics to reduce delays, streamline routes, ...