Abstract: A wide range of highly-relevant problems in programmable and integrated photonics, optical amplification, and communication deal with inverse system design. Typically, a desired output ...

Discover how an influx of artificial intelligence and machine learning will imbue RF/microwave design flows, traditionally ...

Harvard School of Engineering and Applied Sciences offers Fundamentals of TinyML as an introductory online course through its ...

A roundup of new products at Automate 2026, spanning integrated motion platforms, edge computing, adaptive robotics and ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

Abstract: Channel prediction compensates for outdated channel state information in multiple-input multiple-output (MIMO) systems. Machine learning (ML) techniques have recently been implemented to ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Integrated robotics platforms support STEM instruction, AI learning, smart logistics training, and advanced robotics ...

Environmental pollution is inherently interconnected across air, water, and soil systems. Contaminants migrate through ...

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.