However, the application of deep learning to ALS data has been limited, partly due to the reliance of models on RGB-based pretraining and the lack of expert-annotated datasets. This has hindered the ...

According to a new report from the University of Cambridge economics, policy, and machine learning experts, this is. The experts also argue that the UK government should clearly state that only a ...

A research team coordinated by the Department of Physics of the University of Trento had the opportunity to test some hypotheses on confinement in ℤ2 lattice gauge theory on the quantum computers of ...

The surge in urban population and traffic challenges necessitate a paradigm shift in traffic flow optimization. Artificial Intelligence (AI) emerges as the transformative force, employing data-driven ...

Researchers from Concordia University have launched the Abundant Intelligences program, aiming to decolonize artificial intelligence by incorporating Indigenous knowledge systems. This initiative ...

The images on the left show newly detected bubble-like structures, while the images on the right show the bubble-like structure detected in this study and previous studies. By using wavelengths of 8 ...

The UPV/EHU researchers said that these findings challenge the widely held perception in the educational and social spheres that the use of artificial intelligence directly triggers plagiarism. "The ...

Researchers at Saarland University and the German Research Center for Artificial Intelligence have developed techniques to reduce AI energy consumption by up to 90%, making AI models smaller, more ...

The benchmark also reveals other important insights into the ability of current chatbots—seven models from the Gemini, OpenAI, and Llama families—to comprehend global history. For instance, they ...

Soham Nandi is a technical writer based in Memari, India. His academic background is in Computer Science Engineering, specializing in Artificial Intelligence and Machine learning. He has extensive ...

Research: Detecting Human Artifacts from Text-to-Image Models *Important notice: arXiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as ...

The concept of "explainability" plays an important role in this context. Metaphorically speaking, this refers to efforts within AI research to drill a peephole into the black box. The algorithm should ...