The scaling of Large Language Models (LLMs) is increasingly constrained by memory communication overhead between High-Bandwidth Memory (HBM) and SRAM. Specifically, the Key-Value (KV) cache size ...
Netflix releases a lot of movies. A lot of those movies quickly surface in the algorithm, compel us to watch them, and then are so bland and algorithm-friendly that we completely forget them. But ...
Abstract: This paper proposes a novel Viterbi-Like successive cancellation (VL-SC) decoding algorithm for polar codes. The algorithm employs the bit log-likelihood-ratio as the “penalty value” within ...
We now have our own terminal tournament featuring a competition for data scientists, analysts, and engineers. Iran's president issues open letter to the American public Dietitians say you shouldn't ...
This project investigates automatic Part-of-Speech tagging using Hidden Markov Models (HMMs) with maximum likelihood estimation (MLE) as part of a supervised learning approach. Three different ...
ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...
ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...
The amino acid sequence of the transmembrane protein and its corresponding positions on the cell membrane are transformed into a hidden Markov process. After evaluating the parameters, the Viterbi ...
You’re at the checkout screen after an online shopping spree, ready to enter your credit card number. You type it in and instantly see a red error message ...
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