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

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

In recent years, the intersection of artificial intelligence (AI), machine learning (ML), and acoustic signal processing has emerged as a rapidly advancing field, offering new ways to analyze, ...

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 ...

TAMPA, Fla., Feb. 16, 2022 /PRNewswire/ -- Tampa-based, Lumina Analytics announced today that it has developed a new form of machine learning called Random Contrast Learning or RCL. In early testing, ...

Machine learning has a wide range of applications in the finance, healthcare, marketing and transportation industries. It is used to analyze and process large amounts of data, make predictions, and ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

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 ...

Newly valued at $2 billion, the AI 50 debutant originated as a chatbot for teenagers. Now, it has aspirations—and $100 million in fresh dry powder—to be the GitHub of machine learning. When Hugging ...