Integrative AI often relies on combined models of multiple AI techniques and there are many ways to create those models and the algorithms that act on them.
Application of a Neural Network trained with Reinforcement Learning method aimed to assign production resources to tasks in a production schedule during its execution.
Use algorithm configuration on several planners within the unified planning framework to enhance their performance.
Introducing ESFA (Empirical Season Forecast for Agriculture) – your reliable companion in long-term agricultural planning. Our validated AI algorithms, which outperform other state-of-the-art climate prediction models, are at the core of ESFA's capabiliti...
A Pytorch-based batch-efficient ED solver for small and medium matrices (dim<32), which is dedicated to the application scenarios of computer vision.
Demonstration web application for the AI4Hotels project within the I-nergy call. The demonstration webapp allows the user to visualize the data used for training the forecasting models, as well as run the electric load forecasting model and the occupancy ...
A novel ECGAN for the challenging semantic image synthesis task
This experimental AI-powered service automatically extracts representative keyframes from a video. The service also identifies and improves the resolution of faces and text detected within the keyframes for better clarity.
Image recognition and localization of objects for the update of a manufacturing digital twin using RGB-D information processed in distinct computation layers (Cloud, Edge, Local).
