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In the context of Language Models and Agentic AI, memory and grounding are both hot and emerging fields of research. And although they are often placed…
Multi-target multi-camera tracking (MTMCT) is essential for intelligent transportation systems. Still, it faces challenges in real-world applications due to limited publicly available data and the labor-intensive…
Snapping or clicking an image is the easiest way to capture text from paper documents conveniently in your phone or computer. Imagine having a bunch of…
Prior to PILOT, fitting linear model trees was slow and prone to overfitting, especially with large datasets. Traditional regression trees struggled to capture linear relationships effectively.…
General circulation models (GCMs) form the backbone of weather and climate prediction, leveraging numerical solvers for large-scale dynamics and parameterizations for smaller-scale processes like cloud formation.…
Image by Author | DALLE-3 & Canva While pandas is mainly used for data manipulation and analysis, it can also provide basic data visualization capabilities.…
What are they and what are they notIn this article, I attempt to clarify the use of essential tools in the applied econometrician’s toolkit: Difference-in-Differences (DiD)…
In this article, I will discuss different approaches to CT image denoising with CNN and some traditional approaches as well.Photo by Daniel Öberg on UnsplashDenoising CT…
Image by Author | Midjourney & Canva KDnuggets’ sister site, Statology, has a wide range of available statistics-related content written by experts, content which has…
Battling Social Media Algorithmic God WorshipWelcome to the Dystopia of our best Sci-Fi dreams!What is an Algorithm?How does it relate to Social Media Interaction?What are some…