Artificial intelligence is considered to be computationally and energy-intensive—a challenge for the Internet of Things (IoT) ...

Imagine a world where every smart device, from traffic sensors to wearable health monitors, can seamlessly communicate. This vision is at the heart of Massive Machine Type Communication (mMTC), a ...

Backup storage is vital for enterprise cybersecurity, ensuring fast, reliable data recovery while supporting AI model ...

A study published in npj Computational Materials presents a new AI system that uses computer vision and language processing ...

Underwater object detection tasks face significant challenges due to the complexity of aquatic environments and underwater conditions, coupled with the limited computational resources of current ...

The detection of rare objects within traffic environments is critically important for the safety and reliability of autonomous driving systems. However, the scarcity of sufficient data and the ...

CRN’s 10 hottest IoT startups of 2025 so far include connectivity players like 1NCE and Skylo, industrial vendors such as ...

Combatting longstanding challenges in rare disease detection with innovative deep learning models Approximately 350 million people are living with up to 8,000 rare diseases worldwide.

The most comprehensible part of a object detection project is the visualization. Here, two images were selected to display the prediction performance of models. First image contained "relative large" ...

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