AXEL

The most famous and legendary music artist by far is The King Of Pop, Michael Jackson. He has had many projects, whether it’s songs, albums, or movies.

Every Michael Jackson Project From Albums to Movies

Star Wars May be and if not one of the best Movie franchises of all time. Even though the films are pretty easy to tell which one to watch first it can be very complicated at times.

The Star Wars Movies in Chronological Order 

Assassin’s Creed is arguably one of the best gaming franchises of all time. 

A List of Assassin’s Creed Games in Chronological Order

By leveraging advanced technologies, MIRAI aims to democratize metaverse creation and unlock untapped economic opportunities, paving the way for a new era in di

The First AI Metaverse With Synthetic Derivative RWAs: Powered By AI Agents, HyperGen And Axelar

The Axelar interoperability layer will allow assets from over 50 chains to be bridged over to MultiversX.

Assets From 50+ Chains To Become Available On MultiversX Via Axelar

In this slogging ama, we chatted with Sergey Gorbunov about his blockchain network Axelar, his background, and the basics of blockchain. 

Explaining the Blockchain with Axelar CEO Sergey Gorbunov

<a href="https://medium.com/u/67f3af68ce42">Josh Pigford</a>, Founder of Baremetrics, <a href="https://blog.baremetrics.com/how-we-went-from-weeks-of-cash-left-in-the-bank-to-profitable-in-8-months-cfad6f2d6523#.lkvh1v2s0">recently stated</a>, “The best way to future proof yourself is profitability plus 3–6 months worth of expenses as cash in the bank.” Too often, startups rely on raising outside investment while lacking a clear path to profitability. Differentiating yourself from your competitors is a good first step to become a sustainable business. Bobby Axelrod delivers a masterful assessment of the difficulties in scaling startups in the recent episode of <em>Billions</em>.

Why You’re Not Ready For Investment According To Axelrod

LLMs often get facts wrong. Free chatbots rely on messy data, while paid clean reservoirs promise accuracy, safety, and trust.

The Worst Best Friend: Free Chatbots vs. Clean Data Reservoirs

Revolutionizing fandom with AI, VR, and Web3 technology

NEXST Launches Web3 VR Entertainment Platform with K-Pop Group UNIS as First Global Partner

Efficient and effective: A text-based LLM outperforms traditional methods in speech-to-text retrieval and translation tasks.

The Minimalist’s Guide to Speech-to-Text: Big Wins with Little Data

We offer two open-source NLP systems with different approaches, as well as a manual annotation guideline for identifying SS and SI.

Open-Source NLP Systems for Identifying Social Support and Isolation in Psychiatric Notes

This paper presented NonlinearSolve.jl, a high-performance and robust open-source solver for nonlinear systems implemented natively in the Julia language

NonlinearSolve.jl: Other References You Can Turn to

Solving ill-conditioned nonlinear systems requires specializing the linear solver on properties of the Jacobian to cut down on the linear solve...

What is the Large Ill-Conditioned Nonlinear Brusselator System?

Initializing DAEs is a crucial step in the numerical solution process, as it ensures the consistency and well-posedness of the problem. 

Initializing the Doyle-Fuller-Newman (DFN) Battery Model

We evaluate our solvers on three numerical experiments and benchmark them against other nonlinear equation solvers 

How We Evaluated Our Solvers on Three Numerical Experiments and Benchmarked Them

For certain Krylov Methods to converge, it is imperative to use Linear Preconditioning, which often requires a materialized Jacobian.

Generalized Jacobian-Free Nonlinear Solvers Using Krylov Methods

Discover how sparsity exploitation in NonlinearSolve.jl boosts efficiency. Explore the approximate algorithm for faster Jacobian calculations.

Automatic Sparsity Detection for Nonlinear Equations: What You Need to Know

Explore non-allocating static solvers for GPU kernels. Speed up nonlinear equation solving with NonlinearSolve.jl's optimized GPU algorithms.

Non-Allocating Static Nonlinear Solvers for GPU Kernels: Speed and Efficiency

NonlinearSolve.jl uses smart polyalgorithms for robust, efficient solving. Discover its intelligent default selections for nonlinear and linear solvers.

NonlinearSolve.jl: Smart Defaults for Robust and Efficient Nonlinear Solving

Explore NonlinearSolve.jl's composable building blocks: Jacobian, globalization, and descent. Craft advanced solvers for complex nonlinear equations.

Modular Nonlinear Solvers: The Power of Composable Building Blocks in NonlinearSolve.jl

Here, we will focus on specific capabilities of our package NonlinearSolve.jl. Let’s cover the typical workflow of using NonlinearSolve.jl.

What Are the Special Capabilities of NonlinearSolve.jl?

The Jacobian computation and linear solver are typical bottlenecks for numerical nonlinear equation solvers. 

Matrix Coloring & Sparse Automatic Differentiation: The Jacob Computation

Sensitivity Analysis for nonlinear systems is an integral part of several applications like differentiable physics simulators

Sensitivity Analysis Explained: What Exactly Is It?

Globalization Strategies allow us to enhance the local algorithms described in Subsection 2.1 and ensure global convergence under suitable assumptions

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