Abstract: Brain network analysis is one of the most effective methods for brain disease diagnosis. Existing studies have shown that exploring information from multimodal data is a valuable way to ...

Abstract: Modal filters (MFs) have been extensively studied for their effectiveness in protecting against dangerous ultra-wideband interferences. The simplest types of MFs are formed by modifying ...

The AI training dataset market presents key opportunities in multimodal data integration, rising demand for domain-specific datasets, and the growing importance of privacy and compliance. Video and ...

Phil Chen, a fromer researcher at OpenAI and how the founder of an agent-native startup, has offered fresh career guidance ...

Discover the best AI tools for content creation in 2026. Compare the top 10 platforms for writing, SEO, video, and social ...

Anthropic launched Claude Science, an AI workbench connecting 60+ scientific databases. Here's how it compares to OpenAI's ...

Today, frontier AI labs such as OpenAI and Anthropic are among its biggest and most strategically important customers. These companies need vast amounts of data to train foundation models. But that is ...

Modern medical imaging increasingly relies on artificial intelligence to support detection, diagnosis, and prognostic ...

Wearable health sensors such as photoplethysmography (PPG) wristbands, ECG patches and multi-modal biometric devices are typically developed and calibrated under controlled laboratory conditions.

Frustration continues to grow among Goochland County residents over a proposed shooting range, with neighbors saying they still have unanswered questions.

The HKPC workshop showcased how GPTBots.ai and EngageLab combine enterprise AI Agents, secure workflow orchestration, and omni-channel engagement to turn customer interactions ...

Impact and progress Frontiers' impact Our annual reports Thought leadership ...