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Abstract: Sparse Regression Codes (SPARCs) are capacity-achieving codes introduced for communication over the Additive White Gaussian Noise (AWGN) channels and were later extended to general ...

Sigrid Jin woke up to chaos and shipped "Claw Code" by breakfast. Here's everything it taught the world.

Ever wonder why your firm’s AI initiatives don’t seem to be going anywhere? Your firm might not have the right people, ...

Welcome! This repository contains REST API tutorial samples that demonstrate how to use the Azure AI Content Understanding service directly via HTTP calls with thin Python convenience wrappers. These ...

EAGLE (Extrapolation Algorithm for Greater Language-model Efficiency) is a new baseline for fast decoding of Large Language Models (LLMs) with provable performance maintenance. This approach involves ...

A large amount of time and resources have been invested in making Python the most suitable first programming language for ...

Diffblue today announced the general availability of the Diffblue Testing Agent, an autonomous regression test generator that works with an enterprise's existing AI coding platform - GitHub Copilot, ...

Abstract: This article introduces a novel concatenated coding scheme called sparse regression LDPC (SR-LDPC) codes. An SR-LDPC code consists of an outer non-binary LDPC code and an inner sparse ...