A research team affiliated with UNIST has reported a new simulation tool to better understand how liquid-phase chemical ...

Artificial intelligence is changing how we predict river flow—but a new study led by researchers at the University of British ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Gunn is part of a research team at UC Berkeley that has developed an undetectable watermark for generative image models. The ...

The meteoric rise of AI has given birth to a new generation of models capable of producing images, sounds or videos of ...

Abstract: Discrete decision-making problems, such as combinatorial optimization tasks frequently encountered in network science and industrial IoT systems, are pervasive in real-world applications.

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Innovative drugs represent a critical approach to addressing ...

With so much money flooding into AI startups, it’s a good time to be an AI researcher with an idea to test out. And if the idea is novel enough, it might be easier to get the resources you need as an ...

“[A]n AI model such as Stable Diffusion which does not store or reproduce any Copyright Works (and has never done so) is not an ‘infringing copy’ such that ...

Abstract: Deep learning (DL) methods have been widely applied to synthetic aperture radar (SAR) land cover classification. The complexity of SAR data and the limited availability of labeled samples ...

Diffusion models gradually refine and produce a requested output, sometimes starting from random noise—values generated by the model itself—and sometimes working from user-provided data. Think of ...