This paper discusses three basic blocks for the inference of convolutional neural networks (CNNs). Pyramid Vector Quantization [1] (PVQ) is discussed as an effective quantizer for CNNs weights ...

The market for audio applications and devices has significantly grown over the last couple of years. Applications such as smart speakers, Bluetooth speakers, smartphones, and voice-controlled ...

As we discussed at the beginning of this series, sampling has nothing to do with digitization, or quantization. A sampled signal can remain in the analog domain, though digitized signals are sampled ...

As part of the Alabama Broadcasters Association’s Engineering Academy Continuing Education Series I have begun laying out a series of fundamental tutorials. Here I write on Understanding Digital Audio ...

Reducing the precision of model weights can make deep neural networks run faster in less GPU memory, while preserving model accuracy. If ever there were a salient example of a counter-intuitive ...

The Llama 3.1 70Bmodel, with its staggering 70 billion parameters, represents a significant milestone in the advancement of AI model performance. This model’s sophisticated capabilities and potential ...