Morph 2K pre-orders are now open!
A $199 analog video scaler for retro gaming with composite, S-Video, SCART, component, and VGA support. Incredible video quality, CRT simulation, auto-sampling, Wi-Fi updates, and more.
To celebrate launch day, we're giving away one Morph 2K.
To enter:
✓ Follow @PixelFXco
✓ Like & repost this post
Winner selected June 20th.
https://t.co/xQqM20tdnt
An update for our Canadian🇨🇦 followers: NEOGEO AES+ console and games are once again available for pre-order on Amazon Canada. Thank you for your patience!
#retrogaming
🏎️RACING GIVEAWAY🏍️
Motor bikes, monster trucks, sports cars & more are up for grabs in this month's giveaway! To enter:
1. Follow us
2. Like and/or RT this post
3. Like and/or RT any other NON-CONTEST post originating from this account
Details + Rules👇
Been sitting on this idea for a while, and here it is finally in action on the PS2 FAT! OLED screen install — the rendering still needs some work as the extra 64 lines aren't handled properly yet.
Hope you'll enjoy it!
Compatible with all Methylene versions and the new BlueRetro update — and this is just a glimpse of all the features, which you can discover at https://t.co/RAP2KOJfAy under the OTA update section 😉
As promised, the new BlueRetro version for Methylene is out!
The video below shows just a few of the new features (there are more!).
Hope you like it!
The OLED screen is completely OPTIONAL — it’s just a cool gadget 😊
Everything else can be managed via the brand new BlueRetro web interface (compatible with pretty much any BlueRetro install, regardless of the console).
→ https://t.co/Nmhs9ZrhnH
You can even update your Methylene board directly from there! Works on Android (PWA), iOS (ipa) version coming soon via sideload.
@Voultar@bjspartan000 Would being sweet get me anywhere? I've checked your site multiple times daily since March.
I reshelled and recapped my SHVC, liked and followed all your videos. I've even upgraded my GBS-C exactly like you showed.
I was driving last night from 6-12pm and missed the drop.
American friends, with @ringerkeys
we've finally found an easy solution for you to get Methylene at a nice shipping cost!
Head over to https://t.co/Kht5Qlg8dm to grab Methylene FAT or SLIM.
Quantities are quite limited, but we can restock quickly 😉
Enjoy!
You don’t have to spend a fortune on AI bootcamps.
Stanford has 10 free courses that cover it all:
Sharing a great compilation from Hamna Kahn:
1. Computer Science 101
Perfect for beginners who need programming basics before exploring AI.
Learn Python syntax, data structures, and algorithmic thinking.
https://t.co/uwxAiZXoO8
2. Machine Learning Specialisation
For engineers and data scientists ready to tackle AI math.
Master supervised learning, neural networks, and support vector machines.
https://t.co/p68w3vOy2Y
3. Artificial Intelligence: Principles and Techniques
Gives a full AI overview before specializing.
Understand search algorithms, constraint satisfaction, and logical reasoning.
https://t.co/rUcZHsrlOx
4. Programming Methodology
Essential for writing clean, maintainable code for AI projects.
Learn object-oriented programming, software engineering principles, and debugging.
https://t.co/EKpc1z5ZlS
5. Introduction to Databases
For handling large datasets and optimizing data pipelines.
Master SQL queries, database design, and data modeling.
https://t.co/FyxBzsmKaQ
6. CS231n: Convolutional Neural Networks for Visual Recognition
Ideal for computer vision AI.
Learn CNNs, object detection, and image segmentation.
https://t.co/FyxBzsmKaQ
7. CS224n: Natural Language Processing with Deep Learning
Build chatbots, language models, and text analysis tools.
Explore transformer architectures and attention mechanisms.
https://t.co/TdMNAHGC9y
8. CS109: Introduction to Probability for Computer Scientists
Understand AI fundamentals and avoid black-box thinking.
Master Bayesian inference, distributions, and statistical modeling.
https://t.co/nGyU6sacnG
9. CS234: Reinforcement Learning
For autonomous systems, gaming AI, and robotics developers.
Learn policy gradients, Q-learning, and deep RL algorithms.
https://t.co/VeTuvUPOXM
10. CS230: Deep Learning
Transition from classical ML to modern neural networks and AI applications.
Build convolutional networks, RNNs, LSTMs with proper initialization.
https://t.co/OhKzwAgLMh
These courses are a goldmine for anyone serious about AI.
P.S. Which AI skill would make the biggest impact on your career right now?
♻️ Repost this so anyone can access top AI courses for free!
——
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