In Machine Learning, a common technique used to train a robust and generalizable model, is cross-validation. It divides the dataset into multiple subsets, where typically one of them is the validation set and the remainder consist the training set.
The AI, Data, and Data-Dependent Business Models workshop took place between 31 January and 2 February 2024 at Fraunhofer Heinrich Hertz Institute in Berlin.
Leibniz University Hannover has published a new peer-reviewed scientific article in the IOPScience Journal of Optics. The work was supported by iToBoS project, under European Union’s Horizon 2020 grant agreement No 955221.
Every year, the international society for optics and photonics (SPIE) recognizes innovative companies with the Prism Award.
In computer vision, deep learning models have proven instrumental in tackling various tasks, from object detection and segmentation to image classification and analysis.
Every year end of January, the international society for optics and photonics (SPIE) hosts Photonics West, the world’s largest trade show for optics, in San Francisco.
In the last decade the application of artificial intelligence (AI) algorithms in dermatology to classify skin lesions, particularly melanoma, has advanced rapidly.
Non-melanoma skin cancers, including squamous cell carcinoma (SCC), represent the most common form of cancer in Caucasians, with a continuing increase in incidence worldwide.
Trilateral Research recently attended the MPNE Consensus Data event in the framework of iToBoS project, held in Berlin between January 31st and February 2nd, 2024.
IBM recently took part in the MPNE Consensus conference in Berlin, Germany.