Now, researchers at MIT have developed an entirely new way of approaching these complex problems, using simple diagrams as a tool to reveal ... is described in the journal Transactions of Machine ...

The programs demonstrate the use of the MQTT protocol to provide a fall detection system for the elderly. Algorithm for Learning and Evaluation of Risks in Tumbles (ALERT) is a machine learning ...

A new global forecast reveals how electricity access, infrastructure delays, and energy diversification will shape the next decade of data center expansion. Artificial intelligence has, without ...

Researchers at Northwestern Engineering have developed a scientific machine learning framework ... sponge-like architectures that give them unique mechanical properties – using limited but ...

This project is a reconstruction of my original Arduino-based robot designed for the 2018 Inter-School Robotics Competition. The robot was built to navigate a U-shaped track with obstacles and park ...

Data science platform Kaggle is hosting a Wikipedia dataset that’s specifically optimized for machine learning applications. Data science platform Kaggle is hosting a Wikipedia dataset that ...

"Machine learning algorithms can label data much faster than ... making fraud detection more efficient." The method combines two strategies: an ensemble of three unsupervised learning techniques using ...

An efficient method that can reduce the time to debug parallel simulation pattern mismatches was discussed using the Parallel Strobe Data Flow. Adding Design for Testability with the advanced ...