What began as a simple conversational tool is evolving into a trillion-dollar race to build autonomous, enterprise-scale intelligence ...

Abstract: This article explores the integration of model-based and data-driven approaches within the realm of neural speech and audio coding systems. It highlights the challenges posed by the ...

Vibe coding is a natural language-driven, AI-assisted way to build software. Instead of writing every line of code by hand, you describe what you want via natural language prompts to an agentic AI ...

Overview:  AI coding tools help developers write code faster, fix bugs more easily, and spend less time on repetitive work. Many tools also help with testi ...

Edwards extends the functional contextual N-Frame model (Edwards, 2023, 2024) as an integrative theory linking predictive coding (Friston, 2018; Spratling, 2017), QBism-style observer dependence ...

This repository contains the core recommendation system powering the "For You" feed on X. It combines in-network content (from accounts you follow) with out-of-network content (discovered through ...

Even 20 years after their mainstream adoption, algorithmic trading continues to challenge regulators and compliance teams. It's not just that it is inherently complex, but the pace of change and ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

Abstract: Video-based point cloud compression (V-PCC) has achieved remarkable performance in dynamic point cloud compression. However, due to the 3D-to-2D projection in V-PCC, the temporal continuity ...