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

AI cheats not because it’s broken, but because it has learned our own bad habit—rewarding what feels good over what is true.

The accuracy of machine learning algorithms for predicting suicidal behavior is too low to be useful for screening or for ...

Apple has offered a few different variations of Center Stage — its photo tracking and enhancement suit — over the years, but ...

Today, email-based attacks are increasingly sophisticated, however artificial intelligence (AI) can offer vital defense. With ...

Google announced on Tuesday that it is rolling out an experimental AI-powered feature in Google Translate designed to help ...

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...

Traditional AI models learn from structured data and are optimized for outcomes like classification, forecasting or ...

Abstract: Quantum Machine Learning (QML) has emerged as a promising frontier within artificial intelligence, offering enhanced data-driven modeling through quantum-augmented representation, ...

Researchers have demonstrated that brain cells learn faster and carry out complex networking more effectively than machine learning by comparing how both a Synthetic Biological Intelligence (SBI) ...

Wireless power transfer (WPT) systems transmit electrical energy from a power source to a load without physical connectors or wires, using electromagnetic fields. This idea goes as far back as the ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...