A discussion about Vishnu S. Pendyala, Ph.D.

Detecting Fake Images with Multimodal Foundation Models

A discussion on the research published in the Future Internet journal by Vishnu S. Pendyala from the Department of Applied Data Science, San Jose State University, and Ashwin Chintalapati from the Department of Computer Science, Purdue University. Discover how multimodal foundation models are revolutionizing the detection of fake images on the internet! This groundbreaking research explores the use of AI-powered tools like Llava, CLIP, Moondream2, and Gemini 1.5 Flash to tackle misinformation with explainable insights. With up to 69% accuracy, these models are paving the way for a more trustworthy digital world. Dive into the details and join the conversation on combating fake content! #AI #Innovation #FakeImageDetection #ExplainableAI #TechForGood #FutureInternet

A discussion about Vishnu S. Pendyala, Ph.D.

Vishnu Pendyala is an accomplished and award-winning technical leader with over two decades of Silicon Valley industry experience, currently serving as Faculty in Applied Data Science at San Jose State University (SJSU). His extensive expertise spans Technical Management, Software Engineering, Big Data, Machine Learning, Product Development, and Data Protection. He is a prolific author and editor with a significant scholarly output, including four books, numerous book chapters, articles, and op-eds. His research interests are centered around Representation Learning, Generative AI, Veracity of Big Data, and Data Engineering. Pendyala is also an active speaker and has received numerous grants and held editorial roles, demonstrating a deep engagement with both academia and industry.