Frank Mücklich, Professor of Functional Materials at Saarland University, explained that years of research were required to train the AI system so that it could not only recognize different patterns ...

Abstract: Multimodal image translation has found useful applications in solving several medical imaging problems. In this paper, we presented a systematic analysis of multimodal images and machine ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Correlative imaging is a powerful analytical approach in bioimaging, as it offers ...

Abstract: Medical image analysis (MedIA) has become an essential tool in medicine and healthcare, aiding in disease diagnosis, prognosis, and treatment planning, and recent successes in deep learning ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

BEIJING (Reuters) -China's steel exports are set to hit an all-time high this year, defying predictions that unprecedented trade barriers would drive down shipments, and threaten to provoke an even ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Inside living cells, mitochondria divide, lysosomes travel, and synaptic vesicles pulse—all in three dimensions (3Ds) and constant motion. Capturing these events with clarity is vital not just for ...

Examining how the wealth of interconnected data will fuel the development of AI-based predictive models, capable of forecasting not only the occurrence but also the timing and underlying causes of ...