Future events such as the weather or satellite trajectories are computed in tiny time steps, so the computation must be both ...

Recent advances in deep learning have markedly enhanced the quality and utility of cone-beam computed tomography (CBCT) imaging by enabling the synthesis of high-fidelity computed tomography (CT) ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Jinsong Yu shares deep architectural insights ...

DeepMind has shared the discovery of 2.2 million new crystals – equivalent to nearly 800 years’ worth of knowledge. They introduce Graph Networks for Materials Exploration (GNoME), a new deep learning ...

Despite the relevance of smart sustainable city governance and immersive virtual worlds, only limited research has been conducted on this topic. I contribute to the literature on big data-driven urban ...

Deep learning (DL) is a type of artificial intelligence (AI) that utilizes artificial neural networks (ANNs) to process data through two or more layers, each of which can recognize complex features of ...

Machine learning, with its ability to analyze large datasets and identify patterns, is particularly well-suited to address the challenges presented by the vast and complex data generated in ...

Alibaba’s Tongyi Lab has introduced a new open-source training framework that can train open large language models (LLMs) to compete with leading commercial deep research models. The technique, called ...

A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change drives more intense and unpredictable rainfall.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More It’s as good a time as any to discuss the implications of advances in ...