Abstract: This article introduces a low-power spintronic rotary encoder capable of 8-bit analog-to-digital conversion. The proposed encoder leverages spin-Hall effect-driven domain wall motion ...

Abstract: Guessing random additive noise decoding (GRAND) has enabled the practical implementation of maximum likelihood (ML) or near-ML decoding, shifting the paradigm of code-specific decoder design ...

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Gray codes, also known as reflected binary codes, offer a clever way to minimize errors when digital signals transition between states. By ensuring that only one bit changes at a time, they simplify ...

So, you want to get better at coding, huh? It’s a journey, for sure. While online tutorials are great for quick fixes, sometimes you just need to sit down with a good book. These aren’t just about ...

We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...

Artificial intelligence coding startup Zencoder has unveiled a new orchestration tool that it says will help enterprises move away from unproductive “vibe coding” to a more disciplined and verifiable ...

Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...