#Julia vs MATLAB

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Best Programming Language to Solve the Reynolds Equation for Lubrication Simulations

The Reynolds equation is fundamental in fluid film lubrication analysis, often solved using numerical methods like finite difference or finite element approaches. Whether you’re a researcher, engineer, or student, choosing the right programming language can dramatically impact your development speed, simulation performance, and visualization capabilities. 🔍 What is the Reynolds Equation? The…

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Matlab vs. Julia vs. Python

https://tobydriscoll.net/blog/matlab-vs.-julia-vs.-python/ Comments

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This week’s top AI and data science links: OpenAI vs DOTA, traffic data and the future of data storage

OpenAI was center stage this week when their bot beat top human player at the Dota 2 world championship. This is a big deal because multiplayer online battle arena games and real-time strategy games were seen as being way beyond the abilities of an AI today - with their extremely complex sets of rules and possible actions. 

OpenAI released an article further developing how their bot managed to achieve this through self-play alone.

If you're thinking "wow how did AI get to be this good while I wasn't watching?" you're not the only one. And it turns out the achievement, while impressive, may not be the groundbreaking event the press is raging about. In an article published by the NY Times, the team from OpenAi actually goes into some of their failed experiments - and explains why they believe that building AI that follows instructions set by humans may be a way to control super intelligence in the future.

Our very favorite links this week:

- Long read Eliminating the human

- Data storage trends How hardware drives the shape of databases to come

- Rush hour data viz Leaving town at rush hour? Here's how far you're likely to get from America's largest cities.

- Google Research Making visible watermarks more effective

- Here's an AI goodie: Generating expressive 3D facial animations from audio

Never enough! Here are more links that we enjoyed reading this week, just for you. - Why Machine Learning Is A Metaphor For Life by Adit Deshpande - Romance Novels, Generated by Artificial Intelligence by Elle O'Brien - Inside the Increasingly Complex Algorithms That Get Packages to Your Door by MIT Tech Review - Design makes AI smarter by Elaine Lee - Why Elon Musk is Wrong about AI by Daniel Jeffries - How To Survive Corporate Politics as A Data Scientist by SeattleDataGuy - Killings of Blacks by Whites Are Far More Likely to Be Ruled 'Justifiable' by TheUpshot - God or the divine is referenced in every state constitution by Fact Tank - How We Built a Lifetime Eclipse Predictor by Source - Useless Data Comparisons by Flowing Data - Does Your State Care More About Batman or Puppies? by DiscoverGeek - An AI Dreamed Up Street Scenes, and They're Surprisingly Good by MIT TechReview - Understanding overfitting: an inaccurate meme in supervised learning by Memo's Island - Data Science Rosetta Stone: Classification in Python, R, MATLAB, SAS, & Julia by Heaton Research - [Paper] Some Philosophical Problems from the standpoint of Artificial Intelligence - [Paper] How to become a Bayesian in eight easy steps: An annotated reading list - [Paper] A Primer on Neural Network Models for Natural Language Processing - [Paper] Neural Nets Can Learn Function Type Signatures From Binaries

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Article URL: https://tobydriscoll.net/blog/matlab-vs.-julia-vs.-python/

Comments URL: https://news.ycombinator.com/item?id=20344675

Points: 24

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