Hidden Layers: AI and the People Behind It

🔍 In Episode 9, dive into the fascinating world of self-supervised learning with Dr. Suyog Jain in this insightful interview! 🧠 Discover how this innovative technique is revolutionizing artificial intelligence, especially in complex and sensitive fields like healthcare and pathology.👨‍💼 Dr. Jain, a Research Scientist at Facebook AI Research (FAIR), shares his expertise in multimodal learning and his journey from precision medicine at PathAI to geospatial data consulting with KUNGFU.AI. 🤔 Curious about self-supervised learning and its growing importance? Learn why it eliminates the need for labor-intensive data labeling and how it addresses challenges in acquiring diverse datasets, particularly in healthcare.🌐 Gain valuable insights into the challenges and strategies for handling large, unlabeled datasets in healthcare. Explore the nuances of annotating data in specialized domains and discover lessons applicable across different fields.🚀 Uncover the advantages and limitations of self-supervised learning compared to traditional supervised methods. Dr. Jain provides a deep dive into his work on multimodal learning, emphasizing video datasets and the integration of various data types for enhanced machine learning models.👁️‍🗨 Get a glimpse into the future as Dr. Jain discusses spatial and temporal grounding challenges in vision foundation models and envisions overcoming these obstacles to improve AI's understanding of complex visual scenes.🌟 Finally, explore the most exciting and promising areas of research and development in artificial intelligence and machine learning according to Dr. Suyog Jain.

In episode 8, Ron sits down with Jeff Perry, a prominent engineering scientist in the Department of Aerospace Engineering and Engineering Mechanics at The University of Texas at Austin. Together Ron and Jeff talk about how AI is used in mapping coastlines, using data from the ICESat-2 (Ice, Cloud, and Land Elevation Satellite 2) satellite to map the ocean’s floor and much more. Resources: 3D Geospatial Laboratory website: https://magruder3dgl.com/UT Austin's Center for Space Research: https://www.csr.utexas.edu/SlideRule Earth: https://www.slideruleearth.io/web/SlideRule Earth's GitHub repositories: https://github.com/ICESat2-SlideRule

In episode 7 of Hidden Layers, Ron chats with KUNGFU.AI's Director of Engineering, Dr. Larry Gray. Dr. Gray introduces us to the topic of computational thinking, walks us through his journey to AI, talks about how AI will disproportionately impact minors, and delves in on Python and what it means to him. Learn about how to prepare for an AI driven future, how to apply computational thinking in your own life, and how critical it will be to manage bias in AI going forward.Resources: Get notified when Dr. Gray's book is ready for pre-order and get a free copy of Chapter 1: lawrencegray.com/mastering-python-bookThe impact of generative AI on Black communities: https://www.mckinsey.com/bem/our-insights/the-impact-of-generative-ai-on-black-communitiesDr. Gray's Udemy Course - Python Programming for Absolute Beginners: https://www.udemy.com/course/easy-python-programming-for-absolute-beginners-r/

In episode 6 of Hidden Layers, Ron interviews DeUmbra's Principal Scientist, Dr. Jonathan Mugan. Dr. Mugan sheds light on how robots are learning situational awareness, common sense, and the ability to adapt to never-before-seen situations. Learn about the latest advancements in humanoid robotics and the potential future where robots seamlessly integrate into our daily lives. This episode is a must-listen for anyone fascinated by the convergence of AI, robotics, and our future society.

In episode 5 of Hidden Layers, Ron sits down with Reed Coke, a Director of Engineering and Principal Machine Learning Engineer at KUNGFU.AI. Reed and Ron discuss what a Large Language Model (LLM) is, why and how they are so powerful and why it's critical you pick the right one for your company. They dive into how to measure performance of LLMs, customizing them to fit your specific needs and much more.

In episode 4 of Hidden Layers, Ron Green, sits down with Jean Pierre Trou, CEO and Co-founder of mbue, a company building artificial intelligence systems to instantly review architectural drawings. Jean Pierre is an Architect by training and talks about pain points for all architects, the future of AI in architecture, his vision for mbue, and much more. Visit mbue.ai for more information.

In episode 3 of Hidden Layers Ron sits down with KUNGFU.AI's Chief Strategy Officer, Dr. Benjamin Herndon and Senior AI Strategist Daniel Bruce, to discuss artificial intelligence strategy. They explore the differences between corporate and AI strategy, how to determine when to jump in, and how to stay up to date in a rapidly moving environment.

In episode 2 of Hidden Layers, Ron Green, interviews Principal Machine Learning Engineer, Numa Dhamani. Ron and Numa talk about Numa's new book "Introduction to Generative AI," the opportunities and risks associated with Gen AI, what it's like to be a woman in AI, and much more. Resources: Buy her book here: https://www.manning.com/books/introduction-to-generative-ai If you are a women in STEM, visit this link for help getting paired with a mentor: https://stemmuse.com/

KUNGFU.AI is proud to announce our newest video series, Hidden Layers. In this series our Chief Technology Officer, Ron Green, sits down with engineers, clients and AI experts to break down complex AI topics into digestible and engaging conversations. Each week, we’ll explore cutting-edge technical advances, discuss the art of the possible, and review the incredible work being done in the field.