Hidden Layers: AI and the People Behind It

In episode 12, join Ron as we delve into the fascinating world of protein engineering and bioinformatics with special guest Daryl Barth, a doctoral candidate at The University of Texas at Austin. Daryl's groundbreaking research in protein engineering is revolutionizing waste plastic management using cutting-edge AI technologies.Discover how Daryl's journey from materials science to biology led her to tackle the global pollution crisis head-on. Learn about the essential role of proteins in living organisms and why protein folding is a crucial puzzle in scientific research.Explore the integration of advanced AI tools like AlphaFold and Evolutionary Scale Modeling in Daryl's workflow, and uncover the transformative impact these innovations have on traditional approaches in protein engineering.Join us as we discuss the potential impacts of Daryl's research on waste management and recycling industries, and gain insights into the future of enzyme identification and design.

In episode 11, Ron is joined by Michael Wharton, Vice President of Engineering at KUNGFU.AI, to unravel the art and science behind building effective AI teams. They discuss optimal hiring strategies, crucial technical skills, and the distinctive challenges AI teams face compared to traditional software development.Michael, an expert in computer vision with a focus on remote sensing, shares his journey from aerospace engineering to deep learning and reflects on the transformative moments that shaped his career. The conversation unfolds into the unique aspects of AI projects, emphasizing the need for a mindset shift towards embracing probabilistic outcomes. Together they explore the organizational dynamics of AI teams, highlighting the importance of flexibility, diversity, and creative collaboration. Michael sheds light on the pitfalls of organizing around disciplines and stresses the value of cross-functional, adaptable teams. As we navigate through the discussion, Michael provides insights into the hiring process at KUNGFU.AI AI, emphasizing the need for a holistic skill set beyond deep learning expertise. The conversation touches on work-life balance, ethical considerations in AI, and the significance of soft skills in a services-oriented industry. Finally, they dive into the challenges faced on AI projects and the strategies employed to overcome setbacks. Michael shares a compelling example where a collaborative team effort led to a breakthrough in solving a complex problem for a client. Don't forget to subscribe for more engaging conversations with industry experts on Hidden Layers! We're also currently hiring so please visit our careers page for more info: https://www.kungfu.ai/careers

Delve into neuroscience and AI with Dr. Sanjeev Namjoshi as they discuss active inference and the free energy principle. Explore the brain's role as a generative model, the efficiency of active inference over deep learning, and the future of AI automation in daily tasks.

🔍 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.