🥳 Just opened up the comments – drop here your theories on how AI is gonna snatch our jobs or what you're curious to learn from the top AI wizards on this 🌎

🟢 So, the next topic is about techniques that use neural networks to alter/modify images, photos, or any visual data. It'll be interesting!

🔜 Introducing our new speaker — Margarita Geleta, a researcher in artificial intelligence at Berkeley AI Research Lab (BAIR) and Stanford Department of Biomedical Data Science (Stanford DBDS).

Margarita specializes in generative AI, genomics, and steganography. Her research has been presented at prestigious AI conferences such as NeurIPS, CVPR, AAAI, ICASSP, and ASHG.


✔️And yes! Margarita will explain how techniques using GAN neural networks work to alter images or visual data.


📑 Topic: GAN Inversion and Image Editing via GANs
📅 Date: April 30, 2024
⏰ Time: 7:00 PM EET or 6:00 PM CET
💻 Format: online (link will be provided later, stay tuned!)

🤖 So, what's the deal with GAN?

If you've ever downloaded an app to see how much you resemble Beyoncé or picked the best out of 4 images in MidJourney, you've definitely used GAN Inversion.


Who are we to explain it all to you when 🤖ChatGPT loves talking about this stuff:

▪️ What's GAN Exactly?
GAN, or Generative Adversarial Network, is a special type of neural network that learns to generate new images or data that look very realistic. GAN has two main components: the generator and the discriminator. Think of it like a two-piece band: the creator and the judge.

▪️ How Does GAN Work?
The creator whips up new images or data from a random vector, like an artist starting with a blank canvas. Then comes the judge, checking if these newbies look "real" or "fake."

▪️ How Do They Learn?
The generator [creator] and discriminator [judge] learn by competing with each other. The generator tries to produce data that will fool the discriminator, while the discriminator tries to distinguish between real and synthesized data.

▪️ What's GAN Inversion?
GAN Inversion is like cracking the code to a safe. A Generative Adversarial Network (GAN) typically generates images from a random vector. But GAN Inversion works the other way around: it tries to find the same random vector that can be input into the network to get the same image.


✔️ To learn more about how networks create new images based on GANs, Margarita Geleta, a researcher in Artificial Intelligence at Berkeley AI Research Lab (BAIR) and Stanford Department of Biomedical Data Science (Stanford DBDS), will delve into the topic.


📑 Topic: GAN Inversion and Image Editing via GANs
📅 Date: April 30, 2024
⏰ Time: 19:00 EET or 18:00 CET
💻 Online [stay tuned!]

Thanks to AI for introducing us to GAN neural networks👏

Register here [a new platform where you can find IS AI Hub Events🔥] if you're already eager to learn how creating new images based on existing ones actually works:

https://lu.ma/h3qmwzew https://lu.ma/h3qmwzew

👋, let's get to know our speaker better — Margarita Geleta, an AI researcher at Berkeley AI Research Lab.

Margarita specializes in generative AI, genomics, and steganography. Her research has been presented at major AI conferences such as NeurIPS, CVPR, AAAI, ICASSP, and ASHG😱


Currently, Margarita is pursuing a PhD in Computer Science at the University of California, Berkeley.

Previously, she worked at Amazon as an Applied Scientist in the Home Innovation Team, focusing on large-scale generative models.


😮 Margarita is an active member of San Francisco's tech scene — she led the San Francisco Techstars community, served as the public chair of the CS Berkeley Entrepreneurship Alumni Association, and organized several tech+MBA mixers, conferences, and hackathons, including Techstars Startup Weekend San Francisco AI 2023, AI Nexus with Berkeley SkyDeck, and the MadHats.ai conference 2024.


Impressed? So are we! We're already gearing up for the lecture on April 30 at 19:00 EET or 18:00 CET📌


👉REGISTER HERE👈

✔️ Your reminder to join tonight's free lecture by a top AI expert from Silicon Valley!

Learn how neural networks generate new images based on existing ones:
GAN Inversion and Image Editing via GANs

The Zoom link will be in Lu.ma — register here quickly➡️

P.S. This topic is accessible to listeners of all levels of AI understanding🫡

📌Hey guys, the Zoom link is in Lu.ma, so please register here to join.

👉https://lu.ma/h3qmwzew

We're starting in 7 minutes.

We are Live! Join:

➡️ https://zoom.us/j/95156473535

🦾The lecture is over, and Margarita was amazing! Many thanks for such an interesting presentation.

For those who couldn't join, we'll do a quick recap with the most useful information.

But for now, enjoy a gift 🎁 from our AI expert — books she recommends to help you understand how artificial intelligence works🔥

📎Artificial Intelligence: A Modern Approach, 4th US ed

📎Pattern Recognition and Machine Learning (Information Science and Statistics)

🟢 A hot topic for everyone
🟢 With an incredibly exciting speaker
🟢 From a super-tech Silicon Valley company!

🥳 Hey there! We're gearing up for a new lecture soon!

Meet Dan Lesovodski, the Head of the AI Incubator and the AI Vice President at Data Monsters. He also co-founded the Silicon Valley Marketing and Sales professional group👀


Impressive? We think so!
Just look — Dan has personally managed 46 [❗️] projects and regularly shares his expertise as a speaker at conferences, author of articles, and mentor to startups 😎

A real monster, right?

We'll have more info about him soon.
In the meantime, make sure to register for the webinar.


📆 This Thursday! May 16th
⏰ at 9 PM EET [8 PM CET]


👉REGISTER HERE👈

Corporate AI Demand in 2024 with Data Monsters 🔥

​Let's dive into the problems businesses are solving with AI across various domains, such as marketing, legal, and more.

🟢 ​We'll review use cases from different fields:

● AI in Digital Transformation/for CTOs/CIOs/CDOs
● AI in Financial functions/for CFO
● AI in Marketing/for CMOs
● AI in HR
● AI in Legal
● AI in Sales
● AI in Customer Experience
● AI for Product Managers
● AI in Procurement


And all this will be presented by the Head of the AI Incubator and the AI Vice President at Data Monsters.


​Guys and Gals, believe us — you won't want to miss this exciting lecture from a Silicon Valley expert 🫡

​See you all online this evening.

⏰ at 9 PM EET [8 PM CET]


👉REGISTER HERE👈

👏Can't wait to see you all at the Zoom webinar!
It's going to be really interesting😊

⬇️⬇️⬇️
Join the webinar here!

It's gonna be 🔥🔥

The hottest niche to use AI😱

Do you agree?

👀 We told you it would be useful for everyone!

🟢 Thank you all for joining our meeting today!

Feel free to share with your friends because we have many top AI experts to meet!