Machine Intelligence
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Frequently Asked Questions
Yes! Check out machine intelligence events happening today here. These are in-person gatherings where you can meet fellow enthusiasts and participate in activities right now.
Discover all the machine intelligence events taking place this week here. Plan ahead and join exciting meetups throughout the week.
Absolutely! Find machine intelligence events near your location here. Connect with your local community and discover events within your area.
Machine Intelligence Events Today
Join in-person Machine Intelligence events happening right now
Leipzig Gophers #60 - Nix, Go, LLM
## Learn Go and NixOS deployments with large language models
Hello, 世界!
When used sensibly, language models can be tutors, too. For meetup #60 on Tuesday [May 26, 2026 19:00 CET](https://www.meetup.com/leipzig-golang/events/312537727) we are really happy to have [Maxime](https://www.linkedin.com/in/plumps/) dive into Nix/NixOS with the help of language models.
Nix is a functional package manager and its immutable traits enable robust, reproducable deployments of Go (and other) projects. The high level goals of Nix/NixOS are similar to other immutable Linux distributions, like [Silverblue](https://fedoraproject.org/silverblue/) or [Bazzite](https://bazzite.gg/).
Becoming familiar with the Nix configuration language can be a challenge, but one that a well instructed tutor may help with.
> Artificial intelligence techniques are increasingly used in education to enable personalized learning and intelligent tutoring [LLM Agents for Education: Advances and Applications](https://aclanthology.org/anthology-files/anthology-files/pdf/findings/2025.findings-emnlp.743.pdf) (11/2025)
Why reproducible and immutable deployments play a role? [Justin Garrison](https://justingarrison.com/blog/state-of-immutable-linux/) says:
> It’s 2026, if you’re not using something immutable (or at least reproducable) you’re doing more maintenance work than you should. [blog post recapping talk from [Southern California Linux Expo 23x](https://www.socallinuxexpo.org/scale/23x)], 03/2026, PASADENA, CA
### Schedule
* 18:45 Doors open
* 19:00 Welcome
* 19:10 Dive into Nix/NixOS with LLMs
* 19:50 Open discussion
We’ll meet:
* in person at [Basislager Leipzig](https://basislager.co), at [Peterssteinweg 14, 04107 Leipzig](https://maps.app.goo.gl/1fMkeDSPZ7Aauszh8) ([OSM](https://www.openstreetmap.org/node/3504864558))
* and online via [Google Meet](https://meet.google.com/poy-koue-spc)
Join us to discuss robust Go deployments, language models as learning tools and more!
Machine Intelligence Events This Week
Discover what is happening in the next few days
C++ for Combinatorial Optimization: From Exact Solvers to Metaheuristics
Combinatorial optimization problems arise across logistics, scheduling, and engineering, and C++ remains a language of choice when performance matters. This lecture takes a practical look at solving such problems in C++, using the Electric Vehicle Routing Problem as a running example.
We begin with an exact solver, formulating the problem as a mixed-integer program and trying to solve it through GLPK's C API directly from C++. Exact methods, however, quickly hit their limits on real-world instances. The second half of the talk turns to metaheuristics: how they are designed, why C++ is particularly well suited for implementing them, and what design choices matter most in practice. We'll walk through a concrete implementation, touching on data structures for fast neighborhood evaluation, generic algorithm design with templates, and the performance considerations that separate a prototype from a production-ready solver.
The goal is not to advocate for one approach over another, but to show how C++ supports the full spectrum of optimization techniques.
# About Speaker
Luka Matijević is a researcher at the Mathematical Institute of the Serbian Academy of Sciences and Arts, whose work bridges academic research and freelance engineering. He's drawn to identifying the right algorithm for a given problem — and to the kind of careful optimization captured by one of his favourite Futurama lines: *"When you do things right, people won't be sure you've done anything at all."*
## 📅 Event Details
| | |
| --- | --- |
| 👤 **Speaker** | **[Luka Matijević](https://www.linkedin.com/in/luka-matijevic/)** |
| 🕕 **Date & Time** | **27th of May (Wednesday), 6 pm** |
| 📍 **Location** | **Beograđanka, Vidikovac, 22nd floor** |
| 🏢 **Address** | **Masarikova 5** |
| 💻 **Online** | **[C++ Serbia YouTube](https://www.youtube.com/@cppserbia)** |
See you!
Leipzig Gophers #60 - Nix, Go, LLM
## Learn Go and NixOS deployments with large language models
Hello, 世界!
When used sensibly, language models can be tutors, too. For meetup #60 on Tuesday [May 26, 2026 19:00 CET](https://www.meetup.com/leipzig-golang/events/312537727) we are really happy to have [Maxime](https://www.linkedin.com/in/plumps/) dive into Nix/NixOS with the help of language models.
Nix is a functional package manager and its immutable traits enable robust, reproducable deployments of Go (and other) projects. The high level goals of Nix/NixOS are similar to other immutable Linux distributions, like [Silverblue](https://fedoraproject.org/silverblue/) or [Bazzite](https://bazzite.gg/).
Becoming familiar with the Nix configuration language can be a challenge, but one that a well instructed tutor may help with.
> Artificial intelligence techniques are increasingly used in education to enable personalized learning and intelligent tutoring [LLM Agents for Education: Advances and Applications](https://aclanthology.org/anthology-files/anthology-files/pdf/findings/2025.findings-emnlp.743.pdf) (11/2025)
Why reproducible and immutable deployments play a role? [Justin Garrison](https://justingarrison.com/blog/state-of-immutable-linux/) says:
> It’s 2026, if you’re not using something immutable (or at least reproducable) you’re doing more maintenance work than you should. [blog post recapping talk from [Southern California Linux Expo 23x](https://www.socallinuxexpo.org/scale/23x)], 03/2026, PASADENA, CA
### Schedule
* 18:45 Doors open
* 19:00 Welcome
* 19:10 Dive into Nix/NixOS with LLMs
* 19:50 Open discussion
We’ll meet:
* in person at [Basislager Leipzig](https://basislager.co), at [Peterssteinweg 14, 04107 Leipzig](https://maps.app.goo.gl/1fMkeDSPZ7Aauszh8) ([OSM](https://www.openstreetmap.org/node/3504864558))
* and online via [Google Meet](https://meet.google.com/poy-koue-spc)
Join us to discuss robust Go deployments, language models as learning tools and more!
Priamy let na produkciu: AI-first vývoj v Kiwi.com
Tatry IT Ťa pozýva na pravidelné stretnutie o aktuálnych a zaujímavých (nie len) digitálnych a IT témach. Eventy organizujeme v spolupráci s [Coworking Poprad](https://coworkingpoprad.sk).
Príď na meetup Tatry IT Community na tému: Priamy let na produkciu: AI-first vývoj v Kiwi.com.
Platformu Kiwi.com netreba špeciálne predstavovať. Menej sa však hovorí o tom, ako Kiwi.com funguje vo vnútri. Na meetupe budeme hovoriť o tom, ako v Kiwi.com beží (lieta) AI-first vývoj.
**Speaker: Michal Cyprian**
Zaregistruj sa [tu](https://docs.google.com/forms/d/e/1FAIpQLSc6wDQ2F7Z_avxdFvhSzJddNjr2i4h231A_q0TDzIFhqRyzVw/viewform).
Slido: #tatryit
**PROGRAM:**
18:00 Privítanie
18:10 Priamy let na produkciu: AI-first vývoj v Kiwi.com
19:00 Q&A a Networking
Event budeme [streamovať](https://youtube.com/live/ltR3RmE2uT0?feature=share) a môžete si ho pozrieť aj neskôr na YouTube kanáli Tatry IT community (https://youtube.com/live/ltR3RmE2uT0).
Zaujíma Ťa niečo konkrétne, alebo máš zaujímavú tému? Napíš nám (community@tatryit.sk).
Tatry IT Team
Machine Intelligence Events Near You
Connect with your local Machine Intelligence community
Prompting Is Not Magic: How to Give AI Better Context
Most people use AI like a search box: they type one sentence, hope for the best, and get frustrated when the answer is generic, wrong, or useless.
But getting better results from tools like ChatGPT, Claude, Gemini, and other AI systems is not about memorizing magic prompts. It is about learning how to give the AI better context.
In this beginner-friendly session, we’ll break down how to make AI dramatically more useful by improving the way you communicate with it. You’ll learn how to give clearer instructions, provide examples, set constraints, ask for better output formats, and use follow-up questions to turn a mediocre answer into a genuinely useful one.
We’ll cover practical techniques you can use immediately for work, learning, writing, coding, planning, research, and everyday problem solving. We’ll also touch on why these same ideas show up in more advanced AI systems, including RAG, agents, evaluations, and AI workflows.
No technical background required. Bring your curiosity, your questions, and maybe one real task you wish AI was better at helping you with.
**What you’ll learn:**
* Why “better prompting” is really about better context
* How to structure requests so AI gives more useful answers
* How to use examples, constraints, and output formats
* How to iterate when the first answer is not good enough
* How these skills connect to more advanced AI workflows
This meetup is for anyone who wants to move beyond basic ChatGPT usage and start getting more practical value out of AI.
LOGISTICS AND PARKING:
The talk starts at 7:00 PM. The first half hour is reserved for everyone to get set up and mingle. Free pizza and drinks!
The cheapest parking option is to find street parking, which will only cost you a few bucks. Otherwise, park in the nearby veteran's museum lot for $8. It's highly recommended you avoid the nearby $15 garage parking.
Ensuring Software Quality in the world of AI Developers - Matt Eland
**Important time note:** Please plan on arriving between 5:30 and 6:00 as the elevators lock after 6 and you'll need to message us and we'll need to come get you.
The building address is 4450 Bridge Park
The entrance is 6620 Mooney St, Suite 400
You will need to scan your ID at the door to get a visitor badge.
**Abstract**
Like it or not, AI agents are now capable of turning a quickly written paragraph of requirements into a pull request that is ready to be integrated into real-world production applications and it's now our responsibility to make sure AI doesn't go rogue and take down prod - or corrupt our data by misunderstanding the requirements or our existing schemas. In this session we'll explore strategies to protect our codebases through unit and integration testing, documentation, and code review along with additional ways of providing context and guard rails to our AI agents as they carry out the work we've assigned them to do. By the time we're done, you'll have a firm grasp of the problem and understand some helpful options for protecting your codebase from vibe coding mishaps getting YOLOed into prod.
**YouTube Link**
TBD
QA or The Highway 2026
QA or the Highway is a one-day, affordable, regional, professional conference featuring real-world experience and thought leadership in the QA and testing industry.
This is a ticketed event please register here:
https://www.qaorthehwy.com/
Featured Keynote Speakers:
**Matthew-Hope Eland** **(Wizard at Leading EDJE)** \- An AI Specialist and Wizard at Leading EDJE who is known to teach software engineering\, AI\, and data science concepts in the most ridiculous ways possible\. Matt has used machine learning to settle debates over whether Die Hard is a Christmas movie\, reinforcement learning to drive the behavior of digital squirrels\, data analytics to suggest improvements to his favorite TV show\, and AI agents to play board games and create an AI agent with the personality of a dog\. Matt is the author of "Data Science in \.NET with Polyglot Notebooks" and "Refactoring with C\#" as well as several LinkedIn Learning courses\. Matt helps organize the Central Ohio \.NET Developer Group\, runs several blogs and a YouTube channel\, has a Master’s of Science in Data Analytics\, and is a current Microsoft MVP in AI and \.NET\.
**Tatyana Arbouzova** **(CEO at Innovate QA)** \- Tatyana Arbouzova is an engineering and business leader with a strong background in Quality Engineering across multiple industries\, including Big Tech\, Healthcare\, and Entertainment\. She has held leadership roles at world\-class companies such as Microsoft\, VMware\, Disney\, and The Pokémon Company International\, where she focused on building quality\-driven cultures and scaling teams to deliver high\-impact products\. With decades of experience\, Tatyana has helped organizations transform their quality practices so teams can deliver software efficiently\, confidently\, and with measurable business outcomes\. Today\, Tatyana advises software companies on adopting AI to optimize quality practices and improve how software is delivered at scale\. She is also a passionate community builder and the founder of Innovate QA\, a thriving Seattle\-based community and conference for quality professionals\.
Cocoaheads
Come out to Improving for our monthly iOS and Mac meetings.
This Month's Presentation:
Nothing yet. (You should volunteer).
What is Cocoaheads (http://cocoaheads.org/)?
CocoaHeads is a group devoted to discussion of Apple Computer's Cocoa Framework for programming on MacOS X and iOS (including the iPhone, iPad and Apple Watch). During monthly meetings, members present on their projects and offer tutorials on various programming topics.
What is BuckeyeCocoa (http://buckeyecocoa.org/)?
BuckeyeCocoa is a group of Objective-C/Swift developers/enthusiasts. We host monthly Cocoaheads and near-weekly NSCoder meetings in Columbus, Ohio. The meetings are free to attend.
Presentations!
Presenters welcome! We are always in need of people willing to present material. Any Swift and/or Objective-C related topic is welcome. Times can be 5 minutes (i.e. lightning talks) to a maximum of 2 hours. Interested? Contact info is on the BuckeyeCocoa website.
To volunteer for a presentation contact us at @BuckeyeCocoa on Twitter.
Follow us on Twitter! @BuckeyeCocoa (https://twitter.com/#!/Buckeyecocoa/) For more information: http://buckeyecocoa.org/
NSCoder Night
Bring your work or your hobby, hang out, and code with us.
Follow @buckeyecocoa for more information.










