Krasin Georgiev

[Proceedings MDPI @ProceedingsMDPI]

🚀 New partner Conference with BulTrans-2026
https://t.co/Sffi3mbAeB

The 8th International Scientific Conference on Aerospace, Automotive and Railway Engineering—BulTrans-2026
10–13 September 2026, Sozopol, Bulgaria

Organized by the Technical University of Sofia

#Aerospace

[DogeDesigner @cb_doge]

How the EU has targeted Elon Musk and 𝕏 over the years:

→ June 2023: The EU audited 𝕏’s safety systems and flagged weaknesses in handling hate speech and disinformation.

→ October 2023: The EU issued a warning letter accusing 𝕏 of spreading misinformation during the Israel Hamas conflict.

→ July 2024: The EU offered 𝕏 an illegal secret deal stating that if 𝕏 quietly censored speech without informing the public, they would not fine 𝕏.

→ August 2024: The EU attempted to stop Elon Musk from hosting a live Space on 𝕏 with President Donald Trump.

→ January 2025: The EU stepped up its probe into Elon Musk’s 𝕏 days ahead of Trump’s inauguration.

→ December 2025: The EU fined 𝕏 €120 million for violating the EU’s content legislation rules under the Digital Services Act.

Why are they afraid of @elonmusk? Why do they fear a platform that gives people a real voice?

[Krasin Georgiev @gkrasin]

An overview of how Starlink's Phased Array Antenna "Dishy McFlatface" works. https://t.co/jarwHqrV3A

[AI at Meta @AIatMeta]

Voicebox can synthesize speech across six languages, perform noise removal, edit content, transfer audio style & more. It's based on Flow Matching, a new method proposed by Meta AI.

More details on this work & real examples ➡️ https://t.co/ptAtSE4DuQ

[Krasin Georgiev @gkrasin]

"To Alamouti, data is an asset like other types of financial and physical capital such as cash, stock, and real estate." https://t.co/CIM2u9kHDy

[Krasin Georgiev @gkrasin]

Looks like neural networks and deep learning will start to be combined with search and indexing

[Krasin Georgiev @gkrasin]

One of the dangers of large language models is that they could flood the world with misinformation. https://t.co/ahNtsDRyAR

[ميد | MED💉🎓 @Medical_MD1]

Synapse ⚡️

It’s a neurone to neurone connection, or in other words, small gap at the end of a neurone that allows impulses to pass from one neurone (presynaptic) to the other (postsynaptic)🧐

An amazing Video to visualise how a synapse works😍

-
Credit of Video:Helix animation

[Krasin Georgiev @gkrasin]

The infrastructure is the key for supremacy https://t.co/UfOQveFgzK

[Jeremy Howard @jeremyphoward]

After 2 years, Practical Deep Learning for Coders v5 is finally ready! 🎊

This is a from-scratch rewrite of our most popular course. It has a focus on interactive explorations, & covers @PyTorch, @huggingface, DeBERTa, ConvNeXt, @Gradio & other goodies 🧵
https://t.co/nzv7pek0iq

[Krasin Georgiev @gkrasin]

Greater creative control for AI image generation or how to search unexisting things https://t.co/QDtIHHML9R

[Yann LeCun @ylecun]

My position/vision/proposal paper is finally available:
"A Path Towards Autonomous Machine Intelligence"

It is available on https://t.co/tOM7lHtYh9 (not arXiv for now) so that people can post reviews, comments, and critiques:
https://t.co/7ZgRtLIQWY
1/N

[Jeremy Howard @jeremyphoward]

Are you ready to embark on a deep learning journey? I've just released over 6 hours of videos and the first in a series of notebooks showing the thought process of how I got to #1 in a current Kaggle comp.

Follow this 🧵 for updates on the journey!
https://t.co/4NZ425XAO8

[Krasin Georgiev @gkrasin]

Why android phone international roaming is activated if the user goes close to the state border - this is obviously preventable with all the phone sensors and AI. Very annoying! @YettelBulgaria @Android #HeyGoogle

[Krasin Georgiev @gkrasin]

Yann LeCun on a vision to make AI systems learn and reason like animals and humans https://t.co/FfvmTS6U3T

[Andrew Ng @AndrewYNg]

Coursera had started with my machine learning class. I’m delighted to announce that I’ll soon be teaching a new Machine Learning Specialization, created by @StanfordOnline & @DeepLearningAI_. Please help me spread the word! You can sign up here: https://t.co/8WJOnNGz7W

[Aemilius Bis. @alternateb747]

Buenos días.
San Bartolomé & Pilatus.

[Andrej Karpathy @karpathy]

“Exploring Plain Vision Transformer Backbones for Object Detection” https://t.co/E1POjnFmgZ
Excellent read as usual from the FAIR team. Strong object detection results with only minor tweaks on the vanilla (ViT) Transformer backbone.

[Sebastian Raschka @rasbt]

Great figure illustrating the different types of deep generative models via @lilianweng (https://t.co/4NJZzr9HKF) & nice list of cons. GANs: unstable training, low diversity; VAE: surrogate loss; Flow-based: special architecture for reversible transf (Diffusion: slow to sample)

[Krasin Georgiev @gkrasin]

Solving (Some) Formal Math Olympiad Problems https://t.co/JzKpcQaGwC