A reproducible open-data framework using the Wisconsin Diagnostic Breast Cancer dataset achieved near-ceiling discrimination ...

A new open-data study built a reproducible machine learning framework for predicting user retention on media platforms, finding that a tabular foundation model achieved the best performance and that ...

Resolving complex material behaviour has long been limited by classical computational power, until now. This work ...

Response: This is a review article about a 7-day trial of the digital learning material "Tenjin" by a second-grade elementary ...

Punching a virtual response box or swinging a virtual lightsaber can dramatically improve learning on certain tasks, according to new research from Florida Atlantic University's College of Engineering ...

Researchers developed NiCLIP, an AI model that decodes cognitive tasks, concepts, and domains from brain activation patterns. Trained on over 23,000 papers, NiCLIP excels at group-level decoding, ...

Self-supervised learning creates training targets from the structure of unlabeled data, allowing models to learn ...

Researchers demonstrate that reinforcement learning cuts gate count when preparing 4-qubit states, achieving a significant ...

Zenta Group Company Limited (NASDAQ:ZTG), a Macau-based professional services provider, has announced that its subsidiary, ZentoAI Intelligent Technology Company Limited, has signed a memorandum of ...

Nova connects to a large voice AI model to support natural conversation and voiceprint recognition. It also supports AI Agent integration, enabling a cloud-based intelligent agent to have a physical ...

As artificial intelligence becomes more powerful, its ability to handle humanlike tasks is undeniable. Artificial neural ...

Adverse weather attenuates fine-grained target cues, disrupts cross-scale feature propagation, and weakens long-range contextual dependencies in UAV imagery, making the detection of small and ...