Discover how the new FANDC system is setting a benchmark in online safety by categorizing and detecting misinformation in real-time, using cloud-based AI to provide users with instant feedback on the ...

Despite advances in AI, state-of-the-art vision-language models falter in abstract reasoning, highlighting new challenges in the quest for human-like cognition. The wonderland of Bongard problems. The ...

In an article recently published in the journal Nature Computational Science, researchers examined the electronic waste (e-waste) generated by generative artificial intelligence (GAI), especially ...

Using AI and cutting-edge climate models, scientists unlock century-old climate patterns to better understand Europe’s vulnerability to extreme weather events—critical insights for future policy and ...

Despite the promise of AI-human teamwork, new research reveals a surprising limitation in decision-making tasks—yet hints at a breakthrough for creative fields where AI can enhance human ingenuity.

The LVSM model reshapes the future of 3D rendering by bypassing traditional biases, delivering photorealistic images from sparse inputs and setting a new benchmark for flexibility and quality in ...

Scene Language offers a breakthrough in visual scene generation, enabling intuitive control and high-fidelity edits in virtual and real-world applications across VR, gaming, and digital content ...

Dive into ProLIP's breakthrough approach in vision-language models—where uncertainty adds precision, and new probabilistic techniques unlock a richer, more accurate world of image-text relationships.

*Important notice: arXiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as definitive, used to guide development decisions, or treated as ...

Using the Robobo Project, educators can now bring AI to life in the classroom, enabling students to tackle real-world challenges and master core AI skills through interactive learning. Research: ...

Researchers developed a scalable framework for data attribution in diffusion models, using influence functions to improve model transparency and accountability.

*Important notice: arXiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as definitive, used to guide development decisions, or treated as ...