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: In this paper, we investigate a dependency-aware task scheduling problem in connected autonomous vehicle (CAV) networks. Specifically, each CAV task consists of multiple dependent subtasks, ...

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.

SVG Autoencoder - Uses a frozen representation encoder with a residual branch to compensate the information loss and a learned convolutional decoder to transfer the SVG latent space to pixel space.

The history of human progress is, in many ways, the history of technology’s diffusion. Among these advances, a few—what economists call general-purpose technologies—have had the greatest impact on ...

Google released on Thursday a “reimagined” version of its research agent Gemini Deep Research based on its much-ballyhooed state-of-the-art foundation model, Gemini 3 Pro. This new agent isn’t just ...

Generative diffusion models for end-to-end autonomous driving often suffer from mode collapse, tending to generate conservative and homogeneous behaviors. While DiffusionDrive employs predefined ...