New research is challenging long-held beliefs about how humans acquire and process language, suggesting our brains may rely less on strict grammar rules and more on familiar word patterns. Studies ...

Elementary teacher and UD alumna leads students in nature-based activities while supporting district in green initiatives ...

AI video models can be talked out of the truth. Even after seeing the right answer, they cave to confident users, rewrite reality, and invent fake explanations to justify it. AI is wrong enough, often ...

A University of Queensland study has shown large language models (LLMs) used in AI content moderation may be prone to subtle ...

Abstract: The increasing demand for computational resources from AI, blockchain, and other technologies requires efficient task scheduling within the Computing Power Network (CPN). However, data ...

Abstract: In response to the challenges posed by an aging population and the lack of child guardians, the development of guardian robots has become increasingly critical. A key challenge is ...

We tested dozens of apps across categories like fitness, productivity, photography, and digital security to find the tools ...

A study on visual language models explores how shared semantic frameworks improve image–text understanding across ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

New AI model enable robots to perform unseen tasks, hinting at a shift toward general-purpose robotic intelligence.

The latest boom in robotics represents a revolution in the way machines have learned to interact with the world.