BREAKING NEWS
LATEST POSTS
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Cinesite group secures $235m funding package
https://www.televisual.com/news/cinesite-group-secures-235m-funding-package/
The Cinesite Group has agreed a new long term financial arrangement that ensures our ability to continue supporting our talent and customers across the world, which is a massive vote of confidence for the talent working within all the studios and what has been built within the Cinesite group
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What is Neural Rendering?
https://www.zumolabs.ai/post/what-is-neural-rendering
“The key concept behind neural rendering approaches is that they are differentiable. A differentiable function is one whose derivative exists at each point in the domain. This is important because machine learning is basically the chain rule with extra steps: a differentiable rendering function can be learned with data, one gradient descent step at a time. Learning a rendering function statistically through data is fundamentally different from the classic rendering methods we described above, which calculate and extrapolate from the known laws of physics.”
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How to learn to become a VFX artist
- Structure your learning time
- Consistency
- Retention
- Mental health
- Don’t feel intimidated
- Don’t feel rushed
- Be kind
- Luck is when preparation meets opportunity
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Foundry Nuke Cattery – A library of open source machine learning models
The Cattery is a library of free third-party machine learning models converted to .cat files to run natively in Nuke, designed to bridge the gap between academia and production, providing all communities access to different ML models that all run in Nuke. Users will have access to state-of-the-art models addressing segmentation, depth estimation, optical flow, upscaling, denoising, and style transfer, with plans to expand the models hosted in the future.
https://www.foundry.com/insights/machine-learning/the-artists-guide-to-cattery
https://community.foundry.com/cattery
FEATURED POSTS
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David Cahn – AI’s $600B Question, is it a sustainable bubble?
https://www.sequoiacap.com/article/ais-600b-question
The expanding economic impact of AI, highlights a significant gap between AI infrastructure investments and actual revenue generation. Despite easing GPU shortages and increased investments by cloud providers, AI-related revenue, particularly dominated by OpenAI, remains insufficient to justify the massive capital expenditures. The analysis reveals that this gap has grown from $125 billion to $500 billion, posing challenges for the AI industry while emphasizing the need for realistic expectations and sustainable value creation.
OpenAI training and inference costs could reach $7bn for 2024, AI startup set to lose $5bn – report
AI: Are we in another dot-com bubble?
The power of AI will transform every facet of our society, from the micro changes in our day-to-day lives to the macro changes in global geopolitics. It will challenge our values and assumptions and make us reconsider what it means to be human. It is inevitable that some capital will be wasted getting there. We may even experience a bubble or two. But this is part of the growing pains of advancing humankind. Society, like our individual lives, seldom take the shortest route. As to the argument that we are in a bubble right now, we think it deserves some reconsidering.
https://kelvinmu.substack.com/p/ai-are-we-in-another-dot-com-bubble
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Virtual Production volumes study
Color Fidelity in LED Volumes
https://theasc.com/articles/color-fidelity-in-led-volumes
Virtual Production Glossary
https://vpglossary.com/What is Virtual Production – In depth analysis
https://www.leadingledtech.com/what-is-a-led-virtual-production-studio-in-depth-technical-analysis/
A comparison of LED panels for use in Virtual Production:
Findings and recommendations
https://eprints.bournemouth.ac.uk/36826/1/LED_Comparison_White_Paper%281%29.pdf
