Abstract: This paper presents novel techniques for improving the error correction performance and reducing the complexity of coarsely quantized 5G LDPC decoders. The ...

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 ...

Datasets are continuing to grow, and this is making even subsampled workloads for training coarse quantizers and PQ codebooks larger than what some GPUs can fit into their device memory. We need to ...

If you’re looking for hints and answers for Strands for Thursday, April 24, 2025, read on—I’ll share some clues and tips, and finally the solution to the puzzle with the theme “Coarse material.” For ...

Diego is a writer and editor with over six years of experience covering games. He's mainly focused on guides, but he's done reviews, features, news, and everything in between. A fan of all genres, you ...

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 ...

Lisa Futterman is a food, dining, spirits, beverage, and travel writer. She has cooked professionally for her entire career, teaching and creating curriculum and recipes for several home cooking ...