Efficient SLM Edge Inference via Outlier-Aware Quantization and Emergent Memories Co-Design” was published by researchers at University of California San Diego and San Diego State University. Abstract ...

So, I was consulting into one of our teams that was putting together a cool data acquisition subsystem. They wanted to use (OK, I admit it, I also wanted them to use) my DIY AC line filter (as written ...

The sources of noise in a signal chain can be either internal or external. Managing noise in the signal chain requires meticulous examination of each circuit in the chain to minimize noise where ...

It’s a counterintuitive result that you might need to add noise to an input signal to get the full benefits from oversampling in analog to digital conversion. [Paul Allen] steps us through a simple ...

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 ...

Over the past decades, the high-speed analog-to-digital converter (ADC) performance metric that mattered to most has changed, albeit slowly. Primarily as a result of signal acquisition systems’ ever ...

The general definition of quantization states that it is the process of mapping continuous infinite values to a smaller set of discrete finite values. In this blog, we will talk about quantization in ...