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TTC 2024 List of Papers 

Renard Jenkins, President and CEO of I2A2 Technologies, President of SMPTE, Board Member HPA, Advisory Board Member of Exceptional Minds.
Title:  AI is Here…Now What?
Synopsis:  Artificial intelligence is currently on the lips of everyone across all industries. Unlike typical technology trends that we’ve seen come and go over the past decade, AI and its associated components have a potential to generate a foundational shift in the way that we work, play, build, and create. What does that mean for broadcast, film, animation, media entertainment and yes even radio? Where are the engineering opportunities and how do we prepare for them? Join Renard T. Jenkins, President of I2A2 Technologies, Studios, and Labs and SMPTE President in an interactive discussion regarding the production and broadcast engineers of the future and how best to prepare yourself and your teams for that future. 

Anthony Kuzub, Chair of the AES Toronto, Sr. Systems Designer at CBC/Radio-Canada
Title:  The Audio Industry  & “AI”
Synopsis:  Synthetic media is revolutionizing the world, but the audio industry has been at the forefront of innovation since the 1970s. Over the decades, the industry has adapted by implementing advanced automation, developing speech recognition, transforming sounds to create new auditory experiences, and generating entirely new sounds for content creation. Anthony P. Kuzub will explore these developments and the impact of AI on media, offering insights into the ongoing evolution of audio and synthetic media.

Bruce MacCormack, Principal – Neural Transform, Member of the Partnership on AI steering committee on AI and Media Integrity, Co-founder and vice-chair of Project Origin, Member of the steering committee of the Coalition for Content Provenance and Authenticity (C2PA)
Title:  Content Credentials – Knowing What’s Really Real
Synopsis:  In the era of AI generated synthetic media, seeing is no longer believing.   This undermines the foundations of the global news ecosystem.    Over the past 5 years a growing number of media and technology companies have been working together to build standards and products to prepare for this environment.    The Coalition for Content Provenance and Authenticity (C2PA) and its co-founder Project Origin are leading the drive for deployment of C2PA based processes in news and other information-based industries.
This presentation will cover the core problem being solved, the history and members of the coalition, the elements of the C2PA media provenance standard, some specific news use cases and ways to become more involved.

Charles Poynton, Consultant
Title:  Confessions of an AI skeptic
Synopsis:  Modern technology development and commercialization is prone to hype; for example, we've seen cryptocurrency rise and fall, driven by hype (and not by any real-world use cases). In media space, billions of dollars were invested in stereo 3D technology that ultimately proved to have insignificant commercial significance. 
Today’s bandwagon is artificial intelligence (AI). 
In this talk, Charles Poynton will present his views on which elements of AI are likely to have long-lasting importance, and which elements we can expect to be transient (at best) or dangerous (at worst). 
Large language models can effectively “read” and make available most or all of the information on the internet. However, we must not conclude that access to superhuman amounts information allows AI models to reason. The machine learning (ML) elements of AI are potentially valuable in media applications. However, despite the “generative” tag in certain types of AI technology, we must be aware that the probabilistic nature of the mathematics underlying AI offers no possibility of creativity.

Chris Lennon, Ross Video Office of the CTO - Director, Standards Strategy, Executive Director of the Open Services Alliance (OSA), SMPTE Fellow
Title:  Addressing the Fundamentals to Enable AI and Automated Workflows – Panel Discussion
Synopsis:  This free-flowing discussion will look beyond the hype and “parlour tricks” that seems to dominate current AI discussions, and focus on how AI, GenAI, and ML are realistically being utilized today (and in the future) to enable automated workflows in media. The panelists come from some very unique perspectives, which should lead to a lively conversation.

Suman Kalyan, NStarX
Title:  Transforming Broadcast Workflows with AI: From Automation to Personalization
Synopsis:  The talk explores the extensive integration of AI technologies in broadcasting. AI facilitates numerous workflow enhancements, from optimizing broadcast timing and resource utilization to improving content management and error reduction. It delves into machine learning's role in content packaging and curation, as well as its ability to analyze viewer data for personalized content delivery. The paper also highlights AI's capability in automatically generating highlight reels, showcasing its potential to revolutionize how broadcasters engage with audiences, ensuring content is both impactful and tailored to viewer preferences.

Stan Moote, CTO of IABM, SMPTE Fellow
Title:  IABM Technology & Trends Road Map Update with Panel
Synopsis:  With a focus on the various aspects of AI, this session will have a collaborative panel debating trends and advanced technology solutions for implementation into broadcast workflows and architectures. Panelists: Mike Bloom - AI Solution Architect, WEKA, Tom Burns – CTO M&E, Dell Technologies, Chris Lennon - Standards Strategy- Ross Video

Mo Goyal, P. Eng., Sr. Director – International Business Development, Live Media Solutions, Evertz.
Title:  Artificial Intelligence in TV production & Broadcasting
Synopsis:  Artificial Intelligence (AI) has emerged as a transformative force in various industries, including media and entertainment. This abstract provides an overview of the utilization of AI technologies in the areas of production and broadcast, encompassing diverse applications ranging from content creation to content distribution and audience engagement. Furthermore, ethical considerations and challenges surrounding AI implementation in live production are addressed, including privacy and creativity concerns, algorithmic biases, and the human-AI collaboration paradigm. By promoting transparency, accountability, and inclusivity, stakeholders can mitigate potential risks and ensure the responsible deployment of AI technologies.

James Rowan, Film Production Specialist, SIRT | Screen Industries Research and Training Centre
Title: Generative Animation - Machine Learning tools for Animation
Synopsis: 
Generative Film making? examples so far?
• Open AI's SORA, Corridor Crew's animated film made in Stable Diffusion
• Why these technologies aren't quite what they appear, but they indicate where the industry is going
Where are we now?
• There are already several well-developed tools for Generative AI for CG animation
• Generative AI mocap tools: Prompt to animation, Motorica, ZeroEggs AI Model; creating animation from audio dialogue
• SIRT's m-body.AI project; open-source data, and AI tools for adoption; an effort to accelerate adoption within industry
Why aren't we seeing these things in industry yet?
• Barriers and what is coming next
• Pace and adoption

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