The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...

Signal processing algorithms, architectures, and systems are at the heart of modern technologies that generate, transform, and interpret information across applications as diverse as communications, ...

Fig. 1. Trade-off between fidelity/accuracy and simulation time for different solutions providing thermo-chemical analysis of composite parts during processing. Photo Credit: Convergent Manufacturing ...

Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what you need to know about using Java, Rust, Go, or C#/.Net for AI/ML.

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological achievement—a multi-class classification method based on ...

Reservoir computing is suited for edge-AI use cases, such as signal processing, time-series forecasting, and pattern recognition, where rapid response and compact systems are essential. In this ...

You hear a lot of different terms bandied about these days when it comes to new data processing techniques. One person says they’re using machine learning, while another calls it artificial ...

Google is bringing its internet of things (IoT) data processing capabilities to edge environments to accommodate enterprises that are unable to rely on cloud for latency or regulatory purposes. On the ...

Long Yuan, PhD, director of the Department of Drug Metabolism and Pharmacokinetics at Biogen, explains how artificial ...

Acknowledging the pain points of the NOVA classification system, researchers have developed a machine learning algorithm to accurately predict the degree of processing for any food. The extent to ...