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Dive into the fascinating world of AI and machine learning with our insightful guests, Michael Kammes and Pierre Jasmin from Revision Effects. In this engaging discussion, hosted by Gary Adcock, we explore the intersection of creativity and technology. From teaching robots to understand images to leveraging AI for artistic endeavors, we unravel the mysteries behind machine learning in visual arts. Discover how AI-enhanced models can influence everything from post-production to image generation, with a focus on its evolving role in content creation and copyright concerns. Join us as we delve into the potential, challenges, and future prospects of AI in the creative media landscape.
#AI #ML #AIGeneratedContent #DELL #NVIDIA #FMC #AIinMedia #MachineLearningImpact #VisualArtsTechnology #CreativeContentCreation #PostProductionInnovation #AIEnhancedCreativity #ImageGenerationTechniques #CopyrightConsiderations #AIToolsForArtists #CreativeExpressionwithAI #ContentCreationTrends #FutureofAIinArt #TechnologyandVisualStorytelling #AIinContentProduction #MachineLearningApplications #ArtisticAIAdvancements #DigitalMediaandAI #CreativeIndustryEvolution #CopyrightProtectioninAIera
00:00 Introduction
10:00 Who is in this panel?
01:32 Pierre Jasmin from Revision Effects
10:09 Michael Kammes
10:51 Is AI going to take my job?
12:30 What do I do if I want to do it myself?
19:02 How are we going to maintain copyright?
21:55 The Promise of Blockchain
23:30 The Problem with standards
26:25 Do you want to limit the tool to protect it from Everybody else?
26:56 How do we teach our models?
29:58 Revenue Models?
33:38 Grey Meta
36:21 The Phone
37:29 AI LUTS
38:21 Nerf
44:02 AI and ML in open Source community
46:14 Nudity Detection?
48:25 How do you teach machines how to learn?
49:53 Integrating Effects with Lens Distortions
54:36 Doing Storyboards with Midjourney
57:00 Things that don’t work with Twixter
59:01 Holographic Displays
59:37 Voice
60:36 Ending
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