Decoding the Invisible: Latent Representation and the Future of Human-AI Interaction

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Modern AI does not understand pixels or words. It understands latent structure. As these invisible representations become the language through which humans and machines communicate, they will fundamentally redefine how we create, discover, and collaborate. This lecture reveals the mathematics behind these hidden spaces and explores why they may become the most important interface between human intelligence and artificial intelligence.

This lecture explores the evolution of latent representations from Variational Autoencoders, which first learned meaningful probabilistic embeddings, to Generative Adversarial Networks, which demonstrated photorealistic generation while exposing challenges in stability and control, and finally to diffusion models and Stable Diffusion, which combine exceptional image quality with unprecedented controllability and robustness.

Beyond the algorithms, the talk examines how latent representations are transforming human-AI interaction. By enabling AI systems to reason, generate, and collaborate through shared abstract representations, they are reshaping creativity, scientific discovery, healthcare, education, and engineering. Understanding these hidden spaces offers not only insight into how modern AI works, but also a glimpse into a future where humans and intelligent machines communicate and co-create in entirely new ways.

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  • Co-sponsored by Vishnu S. Pendyala, SJSU
  • Starts 29 July 2026 07:00 AM UTC
  • Ends 11 September 2026 07:00 AM UTC
  • No Admission Charge

  Speakers

Dr. Narayan Srinivasa, IEEE Fellow

Biography:

  • Narayan Srinivasa received his Ph.D. from the University of Florida in 1994 and was a Beckman Postdoctoral Fellow at the University of Illinois Urbana-Champaign. He spent 17 years at HRL Laboratories, where he became Principal Scientist and Director of Neural and Emergent Systems, leading AI research in computer vision, sensor fusion, neuromorphic computing, and robotics for Boeing, GM, and the U.S. Government. He later joined Intel Labs, where he served as Chief Scientist for Neuromorphic Computing, contributing to the development of the Loihi neuromorphic chip, and subsequently as Senior Principal AI Engineer and Director of Machine Intelligence Research Programs. He is currently Chief AI Scientist at Arch Systems LLC, leading research in AI software and hardware. Dr. Srinivasa holds 127 U.S. patents, has authored more than 105 technical publications, and is a Fellow of the IEEE and the AAIA.

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Dr. Vishnu S. Pendyala of San Jose State University

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Biography:

Vishnu S. Pendyala, PhD is a faculty member in Applied Data Science and an Academic Senator with San Jose State University, current chair of the Santa Clara Valley Chapters of IEEE Computer and Computational Intelligence Societies, Area 4 Coordinator for Region 6, and a Distinguished Contributor of the IEEE Computer Society. As a past ACM Distinguished Speaker, researcher, and industry expert, he gave  nearly 100 talks and tutorial sessions in various forums such as faculty development programs, the 12th IEEE GHTC, IEEE ANTS, 12th IACC, 10th ICMC, IUCEE, 12th ACM IKDD CODS and 30th COMAD to audiences at venues such as Stanford University, Google, University of Bolton, Computer History Museum, Universidad de Ingeniería y Tecnología, Lima, Peru, IIIT Hyderabad, KREA, IIT Jodhpur, University of Hyderabad, IIT Indore, IIIT Bhubaneswar. Some of these talks are available on YouTube and IEEE.tv. He is a senior member of the IEEE and ACM. He has over two decades of experience in the software industry in the Silicon Valley, USA. His book, “Veracity of Big Data,” is available in several libraries, including those of MIT, Stanford, CMU, the US Congress and internationally. Two other books on machine learning and software development that he edited are also well-received and found place in the US Library of Congress and other reputed libraries. Dr. Pendyala taught a one-week course sponsored by the Ministry of Human Resource Development (MHRD), Government of India, under the GIAN program in 2017 to Computer Science faculty from all over the country and delivered the keynote in a similar program sponsored by AICTE, Government of India in 2022. Dr. Pendyala served on a US government's National Science Foundation (NSF) proposal review panel in 2023. He received the Ramanujan memorial gold medal and a shield for his college at the State Math Olympiad. He also played an active role in the Computer Society of India and was the Program Secretary for its annual national convention.

Address:One Washington Sq, San Jose State University, San Jose, New York, United States, 95192-0250