Discover how quality control charts help track product standards, pinpoint issues, and ensure processes meet specifications with this essential tool for quality assurance.

It turns out the rapid growth of AI has a massive downside: namely, spiraling power consumption, strained infrastructure and runaway environmental damage. It’s clear the status quo won’t cut it ...

CEO Sam Altman called a strange graph in its GPT-5 presentation a ‘mega chart screwup.’ CEO Sam Altman called a strange graph in its GPT-5 presentation a ‘mega chart screwup.’ is a senior reporter ...

The researchers have proven PLANAR's effectiveness on surface codes under particular noise conditions and plan to adapt it for non-planar graphs with finite genus, opening the door to broader use in ...

Specifications such as gain error, offset error, and differential nonlinearity help define an analog-to-digital converter’s performance. In part 1 of this series, we discussed an ideal ...

I trained a YOLOv11n model at 192x192 resolution and attempted to quantize it using PPQ with espdl_quantize_onnx. However, I encountered a runtime error during the ...

Abstract: This work introduces an error feedback approach for reducing quantization noise of distributed graph filters. It comes from error spectrum shaping ...

One of the most widely used techniques to make AI models more efficient, quantization, has limits — and the industry could be fast approaching them. In the context of AI, quantization refers to ...