‼️ Google insights live! Come ask anything you're curious about!

🟢 Coming back with a new speaker from Silicon Valley. This time, it's all about AI tech insights for everyone, even non-techies!

What did people start worrying about when artificial intelligence began to gain popularity?

🧐Was it about robots taking our jobs? Well, we'll definitely touch upon that when ChatGPT writes something like this "human" text. Though who knows who wrote it...


But what's realistic is deepfakes😱
They quickly took over the world as both entertainment and a potential threat in cybersecurity, politics, and so on.

🔜So, in the next lecture, let's talk about how deepfakes began — methods that utilize neural networks to modify images or photographs.


Stay tuned for the announcement!

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So, who still thinks robots are going to swipe our jobs
Drop a 🗿 under the post and share your theories on how that's gonna happen in the comments.

🥳 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