As more connected devices demand an increasing amount of bandwidth for tasks like teleworking and cloud computing, it will become extremely challenging to manage the finite amount of wireless spectrum ...

By enabling deep learning to run at the speed of light, this chip could allow edge devices to perform real-time data analysis ...

Microchip Technology has added the dsPIC33AK512MPS512 and dsPIC33AK512MC510 Digital Signal Controller (DSC) families to its ...

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 ...

Microchip’s dsPIC33A digital signal processors with specialized peripherals tackle power conversion challenges in AI servers.

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

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 ...

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 ...

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 ...

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 ...