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 ...

Engineer to combine math, machine learning and signal processing to lay groundwork for high-resolution microscope. by Beth Miller, Washington University in St. Louis ...

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

One of the key aspects of the research is the ability to build the machine-learning models without having to know a lot about a radar’s particular sensing environment beforehand—such as information ...

The Master of Science in Machine Learning Engineering plan of study requires a total of 45 credits; 12 credits in core courses; 6 credits of mathematical theory, 3 credits in each applications and ...

Researchers at the Georgia Tech Research Institute recently combined machine learning, field-programmable gate arrays (FPGAs), graphics processing units (GPUs), and a novel radio frequency image ...

Mixed Signal Approaches to Machine Learning Hardware Accelerator for Inference Engines Sahoo’s third lecture also discusses the concept of using conventional analog technologies to continue to develop ...

BAE Systems is developing machine learning algorithms aimed at deciphering radio-frequency signals for the U.S. Defense Advanced Research Projects Agency (DARPA) under a contract worth up to $9.2 ...