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 ...

When the 9/11 Commission Report was published in July 2004, it became one of the most sobering documents in modern American ...

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 ...

That’s why the industries racing to automate data management with AI are under growing pressure to put humans back in the loop. Human-in-the-loop (HITL) is no longer a niche safety net—it’s becoming a ...

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

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk. The ...