Audio signal processing has experienced rapid evolution in recent years, driven largely by developments in deep learning. Modern approaches now harness neural network architectures to extract ...

Reality Analytics provides AI tools, optimized for solving problems related to sensors and signals. Working with acceleration, vibration, sound, electrical, RF, and proprietary signal sets, Reality ...

In the first major product announcement since the acquisition of FPGA leader Xilinx, AMD (the former Xilinx Group) announced a new Versal Premium Adaptive Compute Accelerated Platform (ACAP) with AI ...

Research and teaching interests: Human decision making, distributed detection and information fusion, optimization for signal processing and machine learning, internet of things. I am currently an ...

Earn an Online Signal and Image Processing Certificate. Be at the Forefront of Cutting-Edge Technology. When that autonomous vehicle recognizes traffic signals, reads lane markings, detects obstacles, ...

Define feedforward networks, recurrent neural networks, convolutional neural networks, attention, and transformers. Implement and train feedforward networks, recurrent neural networks, convolutional ...

A new series of analog front-end (AFE) ICs offer greater precision and performance in analog signal processing mandated in modern sensor applications. The NA2202, NA2203, and NA2204 ICs unveiled by ...