Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Why is Managing Non-Human Identities Essential for Cybersecurity? Have you ever wondered how secure your cloud environment truly is in interconnected digital? When organizations increasingly migrate ...

For customers who must run high-performance AI workloads cost-effectively at scale, neoclouds provide a truly purpose-built solution.

Discover why BlackSky (BKSY) and Planet Labs (PL) could lead satellite surveillance—AI imagery, defense demand, and growth catalysts.

Li and colleagues developed a deep-learning model to analyze EEG recordings and detect event-level EEG spikes. 2. The model achieved high accuracy and a low false-positive rate, with only 32% of human ...

Initial work includes data integration and measuring results over time, including prevented events, time-to-locate and time-to-restore metrics. Itron and Toumetis expect to use the results to guide a ...

The drone threat isn’t coming. It’s already here. Unauthorized drones have disrupted airports across Europe, hovered over critical infrastructure, and breached secure facilities with ...

AI changed office hierarchies faster than predicted Keep reading on The WiC Project Lifestyle Blog & Miriam's Boutique: Home ...

Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of ...

Background and objectives Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.

Two researchers advocate for new AI-based measures not because they offer measurement free from error, but rather because they avoid specific problematic forms of error linked to overreliance on ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...