AI

Most astronomical discoveries are based on observations, and the volumes of data drastically increased with the arrival of large-scale astronomical surveys. For example, the Zwicky Transient Facility (ZTF), which uses a wide-field view…

Artificial intelligence models use statistics and probability to produce scalable models from complex data. These computations take time and use energy. Qilian Liang, an electrical engineering professor, has won a grant to focus on…

The Botminds Document AI platform is now available in the Microsoft Azure Marketplace. Botminds' customers can now take advantage of streamlined deployment and management. Botminds is the world's first integrated platform for Document…

We find inspiration where we can. In this case, it came from bugs. Drones, rovers, and legged robots perform many tasks, from autonomously monitoring crops in greenhouses to last-kilometer delivery. These applications need robots to operate…

Researchers at the University of Central Florida developed a device for artificial intelligence that mimics the eye's retina, which could lead to advanced AI that instantly recognizes what it sees. The development could lead to advanced…

Technology-driven advances like 5G and autonomous vehicles are generating a data deluge that’s beyond current-generation solutions for moving, storing and processing that information. Thankfully, a range of new advances in those same…

Manufacturers must invest in expensive, cumbersome, complex, and time-consuming solutions to reduce the risk of defective products. To compound the complexity, manufacturers often cannot independently install these products without a…

The electric power grids which supply energy to the machines that run our modern way of life are some of the largest interconnected systems in the world. With an increase in energy demand, changing environmental conditions and the need to…

Can machine learning speed up manufacturing and improve throughput? Manufacturing at full capacity means making every second count. If you can find the bottlenecks that are slowing down your assembly line, you can increase efficiency and…

Classical machine learning is reaching its limits, and scientists must develop new models to better understand and use molecular data. The DFG's Priority Program, "Use and Development of Machine Learning for Molecular Applications –…