These systems depend heavily on data annotation to train AI/ML models that enable real-time perception and decision-making. Raw data is collected from a suite of sensors, including LiDAR, radar, ...

Scientists in Malaysia have developed a novel deep-learning method for PV suitability mapping. Applying the new approach to the Middle East, they found that approximately 5.8% of the region has very ...

As a student, Alex Kachkine can only afford damaged art in need of repair. Here’s how they turned their conservation work into a science.

In May 2025, the Journal for ImmunoTherapy of Cancer published a pioneering study entitled "NeoPred: dual-phase CT AI forecasts pathologic response to ...

That means budget season for most enterprises with a calendar fiscal year. And for data leaders, it’s time to shape how ...

Effective and efficient classification of synthetic aperture radar (SAR) images represents an important step toward image interpretation and knowledge discovery. Keys to classification performance ...

This month's Michael McGrady's Show Me Hate deep-dive investigation looks at the possible affects of House Joint Resolution ...

This study presents a non-invasive approach to detect anxiety and depression through gait analysis and machine learning, ...

Start with the basics: get a handle on what AI is, why it matters, and how it’s used in the real world. Make a plan: figure ...

Convolutional Neural Networks (CNNs): Deep learning models designed to process and analyse grid-like data, especially images, by automatically learning hierarchical feature representations.

A research team has developed a diagnostic system that uses artificial intelligence (AI) to accurately identify the type of ...

A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...