Deep Dives

From Physics to Probability: Hamiltonian Mechanics for Generative Modeling and MCMC

mechanics is a technique to describe how physical systems, like planets or pendulums, move over time, specializing in energy somewhat than simply forces. By reframing complex dynamics through energy lenses, this Nineteenth-century physics...

The Art of Hybrid Architectures

In my previous article, I discussed how morphological feature extractors mimic the best way biological experts visually assess images. time, I need to go a step further and explore a brand new query:Can different...

From Fuzzy to Precise: How a Morphological Feature Extractor Enhances AI’s Recognition Capabilities

Introduction: Can AI really distinguish dog breeds like human experts? Sooner or later while taking a walk, I saw a fluffy white puppy and wondered, Regardless of how closely I looked, they seemed almost...

Mastering the Poisson Distribution: Intuition and Foundations

You’ve probably used the traditional distribution one or two times too many. All of us have — It’s a real workhorse. But sometimes, we run into problems. As an example, when predicting or forecasting...

No More Tableau Downtime: Metadata API for Proactive Data Health

In today’s world, the reliability of information solutions is every part. After we construct dashboards and reports, one expects that the numbers reflected there are correct and up-to-date. Based on these numbers, insights are...

Mastering Hadoop, Part 3: Hadoop Ecosystem: Get essentially the most out of your cluster

As we've already seen with the essential components (Part 1, Part 2), the Hadoop ecosystem is continuously evolving and being optimized for brand new applications. Consequently, various tools and technologies have developed over time...

Nine Pico PIO Wats with Rust (Part 2)

That is Part 2 of an exploration into the unexpected quirks of programming the Raspberry Pi Pico PIO with Micropython. For those who missed Part 1, we uncovered 4 that challenge assumptions about...

Essential Review Papers on Physics-Informed Neural Networks: A Curated Guide for Practitioners

Staying on top of a fast-growing research field is rarely easy. I face this challenge firsthand as a practitioner in Physics-Informed Neural Networks (PINNs). Latest papers, be they algorithmic advancements or cutting-edge applications, are published...

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