A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...

QEEA AI today announced the public launch of its next-generation artificial intelligence platform, designed to deliver a more adaptive, creative, and continuous AI experience. Built for everyday users ...

Building on this momentum and the strong traction demonstrated at CES 2026, FIRSTHABIT believes its learning technologies are well positioned to scale in the U.S. and globally. The company remains ...

The education technology sector has long struggled with a specific problem. While online courses make learning accessible, keeping students engaged remains difficult. Completion rates for massive open ...

Abstract: Few-shot learning aims to develop models with strong generalization capabilities using a small number of training samples. However, most learning methods rely solely on the visual features ...

Abstract: Traditional fault diagnosis methods often rely on limited visualization techniques, typically reducing monitoring data to simplistic curves and static thresholds, which can lead to ...

Bees’ remarkable visual learning abilities make them ideal for studying active information acquisition and representation. Here, we develop a biologically inspired model to examine how flight ...

Video instance segmentation (VIS) has gained significant attention for its capability in segmenting and tracking object instances across video frames. However, most of the existing VIS methods ...

Introduction: Extended viewing of 3D content can induce fatigue symptoms. Thus, fatigue assessment is crucial for enhancing the user experience and optimizing the performance of stereoscopic 3D ...

We reveal a critical limitation of GRPO when applied to visual language models (VLMs)—the tendency to develop shortcut learning. This finding highlights the need for better training techniques to ...

Objectives: Oral cavity-derived cancer pathological images (OPI) are crucial for diagnosing oral squamous cell carcinoma (OSCC), but existing deep learning methods for OPI segmentation rely heavily on ...