An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

(1) Integration with Artificial Intelligence and Machine Learning ...

Deep learning models, particularly Convolutional Neural Networks (CNN), are the core technologies for current Chinese handwriting recognition. The workflow can be summarized in the following steps: ...

Akshay Jagadeesh's path is a shining testament to how deep scholarly knowledge of neuroscience can shift gears to ...

With this bat-inspired technology, the potential to locate more survivors the next time an earthquake or wildfire strikes ...

Doctoral researcher Jari Isohanni has studied how packaging itself can serve as a condition monitor. His work explores the ...

With artificial intelligence (AI) becoming an omnipresent focus of innovation in the healthcare sector, it should come as no ...

Researchers have developed a smart pen designed not only for writing, but as a potential tool to make early detection of ...

Overview Clear prompts help machine learning models become more accurate and reliable.Role-specific prompts generate focused ...

As AI moves into real-time applications—from autonomous vehicles to instant medical diagnostics—the systems processing it can ...