Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

For their research, the scientists combined years of flow data on intermediate turbine ducts with AI and machine learning.

Gerotor pumps for oil circulation and lubrication are crucial components in automotive and hydraulic systems. They possess a compact design, excellent flow rate per rotation, and high suction ...

With its "Flightpath 2050" strategy, the European Commission has outlined a framework for the aviation industry that aims to ...

Flow boiling and flow condensation in mini/micro channels is a very effective technique for meeting the high heat dissipating and heat acquisition requirements of thermal management systems. However, ...

Self-organizing maps, and the machine learning protocol involved in creating them, have been in use since the 1980s, Lawrence ...

Research, development, and production of novel materials depend heavily on the availability of fast and at the same time accurate simulation methods. Machine learning, in which artificial intelligence ...

Physics-based simulations, that staple of traditional HPC, may be evolving toward an emerging, AI-based technique that could radically accelerate simulation runs while cutting costs. Called “surrogate ...

Using an AI-supported model developed in-house, an interdisciplinary team at TU Graz has sought new methods to enhance the ...