An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Artificial intelligence (AI) & machine learning (ML) are areas that enable computers and machines to think and learn, and they are the two powerhouses driving innovation across industries today.

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...

The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...

Keysight Technologies, Inc. (NYSE: KEYS), today announced the release of the new Machine Learning Toolkit in the latest Keysight Device Modeling Software Suite. This new solution reduces model ...

The world, and countless generations of interactions with it, coaxed our brains to evolve in the unique way that humans perceive reality. And yet, thanks to the past century's developments in ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...