Photoshop has received many updates over the years, but nothing has added a powerful feature. With the new Premiere Pro beta, you can now officially use Adobe Firefly in Photoshop, opening tons of doors. This is truly next-level and a significant update for the future of Photoshop. This guide shows you how to install and use this latest feature in the beta version of Premiere Pro - I will show you how to install that if you don't already have it.

You can use this AI to (among other things):
- Generate people or objects
- Fill areas or backgrounds to replace parts of a scene or replace it entirely. You can even use AI to select a subject or the background automatically!
- Remove objects, replace objects
- Recolour objects or replace them with something else entirely
- Extend images - This is super powerful. You can take an image and expand it past the borders creating new information.

Most of these have been available in Stable Diffusion for a long time... In fact all of these -- But this is the first time Adobe has release an AI tool this powerful for Photoshop in an official update!

Adobe guide on Generative AI in Photoshop: https://helpx.adobe.com/photos....hop/using/generative
Adobe AI license: https://www.adobe.com/go/adobe....-gen-ai-user-guideli

Timestamps:
0:00 - Explanation
0:22 - Download Photoshop Beta update
1:13 - Enabling Generative AI in Photoshop
2:00 - Replace Background AI
2:34 - Selecting variations
3:07 - Generating more variations
3:40 - Generating objects
4:10 - Extending images
5:15 - Replace objects
6:19 - Removing objects/people
6:35 - Limitations
7:46 - Swapping objects, clothes and more

#Photoshop #AI #StableDiffusion
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Everything in this video is my personal opinion and experience and should not be considered professional advice. Always do your own research and ensure what you're doing is safe.

At Computex 2023, Nvidia CEO Jensen Huang shows off its generative AI chip, Grace Hopper. See what the CEO has to say about the future of accelerated computing and AI.

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Explore 20 Real-World Examples of Photoshop's Generative Fill! From the most demanding fixes like expanding images and removing distractions to the craziest impossible things like being with a celebrity to adding muscles, here's an exhaustive list of the impossible things you can do with this revolutionary AI technology in Photoshop. I hope this video sparks some ideas. Thank you so much for watching :)

► TIMESTAMPS:
00:00 Combine Photos
01:18 How to Get This Feature & Troubleshooting
01:59 Don't Have Photoshop?
02:19 Expand Images
03:03 Add and Modify Objects
03:45 Fix Group Photos
04:20 Remove Distractions
04:53 Change Outfit
05:12 Infinite Zoom
06:07 Add Hair
06:33 Remove Tourists
06:59 Change the Background
07:33 Add Jewelry
08:34 Remove Braces
09:24 Create Reflections
10:02 Create Shadows
10:44 Sky Replacement
11:11 Generate Full Images
11:39 Create a Rainbow
12:08 Build Muscles
12:56 Remove Powerlines
13:26 Be With a Celebrity!

► GENERATIVE FILL ONLINE - ADOBE FIREFLY: https://www.adobe.com/sensei/g....enerative-ai/firefly

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(0:00) Shawn joins Jason
(1:03) Shawn demos Looking Glass’ hologram assistant + Looking Glass’ business model
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(10:24) AI’s impact on product design and how users interact with Looking Glass’ platform
(17:57) Investing in hardware startups
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(22:10) Looking Glass’ customer base
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(32:42) Shawn’s perspective on AI
(37:18) Shawn and Jason’s first picks for holographic assistants

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#startups #entrepreneurship #investing #angelinvesting #tech #news #business

Highlights from the latest #google I/O keynote presentation, featuring competitor technologies to #openai #gpt4 #chatgpt and many reveals across the entire suite of Google ( GOOG stock ) products and services. Highlights include Google PaLM, Google Gemini, #googlebard & more!

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Timestamps for this Google I/O '23 Supercut:
00:00 Generative AI in Google's Services
02:41 Google PaLM 2 vs OpenAI's GPT-4
05:19 Google Bard vs ChatGPT
10:24 Google Duet vs Microsoft Copilot
14:51 Google Search vs Microsoft Bing
19:21 Google Cloud vs Microsoft Azure
24:54 Generative AI Trust & Safety

💬 Join The Conversation & Stay Up to Date 💬
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📝 Resources & References 📝
@Google Keynote (Google I/O '23): https://www.youtube.com/watch?v=cNfINi5CNbY

🙏 Thanks for watching!

NVIDIA and WPP are building a groundbreaking generative AI-enabled content engine to transform the $700 billion digital advertising industry. Built on NVIDIA AI and Omniverse, this engine gives brands the ability to build and deploy highly-personalized and compelling visual content faster and more efficiently than ever before.

Read the Press Release: https://nvda.ws/3OKXnCf
Learn About Omniverse Cloud: https://nvda.ws/42biv7M

Vivek Arya, Bank of America analyst, joins 'Squawk on the Street' to discuss the surprise behind Nvidia's quarterly earnings results, risks to Bank of America's stock thesis on the company and more. For access to live and exclusive video from CNBC subscribe to CNBC PRO: https://cnb.cx/2NGeIvi 

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Discover Generative Fill - magically remove, add, and modify anything in a photo like magic with Photoshop's own Generative AI tool. In this video, we'll test it with a variety of use cases, from removing impossible objects to changing outfits, and even extending an image infinitely! With several more applications like compositing, blending, and photo manipulation, we will also discover the limitations of this revolutionary inpainting tool. I hope this video helps you. Thank you so much for watching :)

► TIMESTAMPS:
00:00 What's This Tool? - Removing Impossible Objects
02:47 How to Get This Feature?
02:58 Extend Images
04:52 Infinite Extension
06:24 Change Background
08:18 Change Outfits
08:59 Extend Portraits
10:32 Limitations of Gen AI
12:25 What Do You Think?
12:50 Where's Am I?

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✅ The Best Professional Plugin for Color Grading: https://pix.live/infinitecolor
✅ The Best Professional Plugin for Skin Tones: https://pix.live/unify
✅ Best Plugin for Landscape & Astrophotography: https://pix.live/propanel
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Generative Deep Learning, 2nd Edition [David Foster]
https://www.oreilly.com/librar....y/view/generative-de

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TOC:
Introducing Generative Deep Learning [00:00:00]
Model Families in Generative Modeling [00:02:25]
Auto Regressive Models and Recurrence [00:06:26]
Language and True Intelligence [00:15:07]
Language, Reality, and World Models [00:19:10]
AI, Human Experience, and Understanding [00:23:09]
GPTs Limitations and World Modeling [00:27:52]
Task-Independent Modeling and Cybernetic Loop [00:33:55]
Collective Intelligence and Emergence [00:36:01]
Active Inference vs. Reinforcement Learning [00:38:02]
Combining Active Inference with Transformers [00:41:55]
Decentralized AI and Collective Intelligence [00:47:46]
Regulation and Ethics in AI Development [00:53:59]
AI-Generated Content and Copyright Laws [00:57:06]
Effort, Skill, and AI Models in Copyright [00:57:59]
AI Alignment and Scale of AI Models [00:59:51]
Democratization of AI: GPT-3 and GPT-4 [01:03:20]
Context Window Size and Vector Databases [01:10:31]
Attention Mechanisms and Hierarchies [01:15:04]
Benefits and Limitations of Language Models [01:16:04]
AI in Education: Risks and Benefits [01:19:41]
AI Tools and Critical Thinking in the Classroom [01:29:26]
Impact of Language Models on Assessment and Creativity [01:35:09]
Generative AI in Music and Creative Arts [01:47:55]
Challenges and Opportunities in Generative Music [01:52:11]
AI-Generated Music and Human Emotions [01:54:31]
Language Modeling vs. Music Modeling [02:01:58]
Democratization of AI and Industry Impact [02:07:38]
Recursive Self-Improving Superintelligence [02:12:48]
AI Technologies: Positive and Negative Impacts [02:14:44]
Runaway AGI and Control Over AI [02:20:35]
AI Dangers, Cybercrime, and Ethics [02:23:42]

In this conversation, Tim Scarfe and David Foster, the author of 'Generative Deep Learning,' dive deep into the world of generative AI, discussing topics ranging from model families and auto regressive models to the democratization of AI technology and its potential impact on various industries. They explore the connection between language and true intelligence, as well as the limitations of GPT and other large language models. The discussion also covers the importance of task-independent world models, the concept of active inference, and the potential of combining these ideas with transformer and GPT-style models.

Ethics and regulation in AI development are also discussed, including the need for transparency in data used to train AI models and the responsibility of developers to ensure their creations are not destructive. The conversation touches on the challenges posed by AI-generated content on copyright laws and the diminishing role of effort and skill in copyright due to generative models.

The impact of AI on education and creativity is another key area of discussion, with Tim and David exploring the potential benefits and drawbacks of using AI in the classroom, the need for a balance between traditional learning methods and AI-assisted learning, and the importance of teaching students to use AI tools critically and responsibly.

Generative AI in music is also explored, with David and Tim discussing the potential for AI-generated music to change the way we create and consume art, as well as the challenges in training AI models to generate music that captures human emotions and experiences.

Throughout the conversation, Tim and David touch on the potential risks and consequences of AI becoming too powerful, the importance of maintaining control over the technology, and the possibility of government intervention and regulation. The discussion concludes with a thought experiment about AI predicting human actions and creating transient capabilities that could lead to doom.

NVIDIA ACE for Games is a new foundry for intelligent in-game characters powered by generative AI. Developers of middleware, tools, and games can use NVIDIA ACE for Games to build and deploy customized speech, conversation, and animation AI models in their software and games.

Watch our NVIDIA Kairos demo, showcasing how NVIDIA partnered with Convai to help optimize and integrate ACE for Games modules into an immersive and dynamic interaction with a non playable character named Jin. The demo is also enhanced with ray tracing and performance multiplying NVIDIA DLSS 3.

Learn More: https://www.nvidia.com/en-us/g....eforce/news/nvidia-a

Subscribe to @NVIDIAGeForce for more PC gaming content featuring advanced graphics, AI, and high-performance technology.

Subscribe to @NVIDIADeveloper to see more cutting-edge PC gaming development software and tools.

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GeForce Community Portal: https://www.nvidia.com/en-us/g....eforce/community-por

#nvidia
#Omniverse
#RTXOn

Dr. Werner Vogels, Amazon CTO and Swami Sivasubramanian, AWS VP of database, analytics, and ML, sit down to discuss the broad landscape of generative AI, why it’s not hype, and how AWS is democratizing access to large language and foundation models.

For a deeper look at how large language models look, be sure to check out “Hello World: Meet Large Language Models” https://go.aws/3ZYeRNj.

Learn more:
✅ Learn more about generative AI at https://go.aws/41m1d7R
✅ Subscribe to AWS YouTube: https://go.aws/3m5yEMW
✅ Learn more about AWS at https://go.aws/3MIV161

Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: https://go.aws/3lPaoPb

ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.

#AWS #GenerativeAI #ML #AmazonWebServices #CloudComputing

Large Language Models (LLMs) are capturing the imaginations of people around the world. At Google I/O, we're excited to share a new suite of tools that make it easy for developers to build on top of our best models. In this keynote, we'll introduce tools and APIs you can use that equip computers with the ability to comprehend and generate natural language with a kind of nuance and fluidity that was never possible before.

To watch this Keynote interpreted in American Sign Language (ASL), please click here → https://goo.gle/IO23_aikey_asl

Speakers: Dale Markowitz, Laurence Moroney, Josh Gordon

Watch more:
Watch all the Keynotes from Google I/O 2023→ https://goo.gle/IO23_keynotes
Watch more AI/ML Sessions → https://goo.gle/IO23_ai_ml
All Google I/O 2023 Sessions → https://goo.gle/IO23_all

Subscribe to TensorFlow → https://goo.gle/TensorFlow

#GoogleIO

Scott Sperling, THL Partners co-CEO and Mass General Brigham chair, joins 'Squawk Box' to discuss the Fed's rate hike campaign, the impact of generative A.I. on company growth, and more.

The Generative Fill in Photoshop is going to change design and photography forever. Guaranteed!!!

This is the most jaw-dropping tool I have ever seen. Photoshop's new A.I. Powered Generative Fill allows you to seamlessly remove complex objects from your photos. Extend images by adding realistic details. Generate realistic objects and generate new believable backgrounds.

This video will be a complete and comprehensive guide on the Generative Fill. I’ll cover all its capabilities and its downsides.

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📘 INDEX -
00:00 - Introduction
01:17 - How the Generative Fill Works
03:59 - Generating water and reflections
05:20 - Generating Clothes
06:22 - Generating Hair
07:05 - The importance of Selections
08:01 - Generate Backgrounds
08:48 - Create Composites
10:18 - Extend Images
13:14 - Remove Objects

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Photoshop has done it again with its new Generative Fill update. This AI addition to photoshop allows you to completely add, change, subtract and create complete images into amazing works of digital art. With one click you can make major changes to your image. This update will blow your mind.

Having trouble finding it? Well it’s not in Photoshop yet, it is in the Photoshop Beta. Getting a birthday error? Easily handled as well. I cover all of that in this video.

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There is so much being said about artificial intelligence these days. In order to understand this latest wave of AI, it is important to know how it works and why this moment is different from developments in the past.

WSJ science reporter Eric Niiler joins host Zoe Thomas for the first installment of Tech News Briefing’s special series Artificially Minded. New episodes drop every Monday in April.

0:00 AI basics
2:18 What is machine learning?
4:20 How generative AI like ChatGPT works
6:07 AI in our daily lives
7:45 How people on the street feel about AI
8:38 Why AI is a hot topic right now
9:50 Risks and rules surrounding AI

Tech News Briefing
WSJ’s tech podcast featuring breaking news, scoops and tips on tech innovations and policy debates, plus exclusive interviews with movers and shakers in the industry.

For more episodes of WSJ’s Tech News Briefing: https://link.chtbl.com/WSJTechNewsBriefing

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