Robert J. Marks II

Director, Senior Fellow, Walter Bradley Center for Natural & Artificial Intelligence
Robert J. Marks Ph.D. is Senior Fellow and Director of the Bradley Center and is Distinguished Professor of Electrical and Computer Engineering at Baylor University. Marks is a Fellow of both the Institute of Electrical and Electronic Engineers (IEEE) and Optica (formerly the Optical Society of America). He was the former Editor-in-Chief of the IEEE Transactions on Neural Networks and is the current Editor-in-Chief of BIO-Complexity. Marks is author of the books Non-Computable You: What You Do That Artificial Intelligence Never Will Never Do and The Case For Killer Robots. He is co-author of the books For a Greater Purpose: The Life and Legacy of Walter BradleyNeural Smithing: Supervised Learning in Feedforward Artificial Neural Networks and Introduction to Evolutionary Informatics. For more information, see Dr. Marks’s expanded bio.

Archives

Transforming Industries with AI: Insights from Entrepreneur David Copps

On this episode, host Robert J. Marks concludes a three-part conversation with entrepreneur, technologist, and thought leader David Copps. Copps has over two decades of experience pioneering advancements in artificial intelligence and other technologies. In this final segment, Copps discusses how his companies have harnessed emerging AI technologies. He discusses Brainspace, a company Copps founded that created one of the world’s first semantic search engines using AI and latent semantic analysis to connect concepts and ideas across large document sets. Under Copps’s guidance, the company became a leader in the e-discovery industry. Copps also talks about his current company, Worlds, which is building an AI platform to connect directly to cameras and sensors in physical

Monday Micro Softy 18: The Twin Paradox

It’s not Einstein’s Twin Paradox but it will certainly set you thinking anyway
About the mixed-up bags of marbles: The key question is, from which bag would drawing a marble give you the most information?

How to Build a Successful Startup in the Age of AI

Artificial intelligence is changing how businesses operate. But some best practices remain, no matter what the technology landscape looks like. On this episode, host Robert J. Marks continues his conversation with renowned entrepreneur, technologist, and thought leader David Copps. Copps has over two decades of experience pioneering advancements in artificial intelligence and other emerging technologies. In this segment, Copps advises entrepreneurs on what it takes to build a successful company today. He talks about solving problems using new technology in innovative ways. He emphasizes the importance of mindset and culture for a startup. He reminds listeners to be willing to pivot and adapt based on feedback from the market and from customers. Copps also touches on the challenges of

Monday Micro Softy 17: Mixed-up Bags of Marbles

The bags-of-marbles puzzle is comparatively simple: How many marbles must you pull from the mislabeled bags in order to relabel them correctly?
There’s a rough solution to the “leaky bucket” problem but an exact solution requires some use of fluid dynamics. And the Moon, surprisingly, changes nothing.

Perspectives of a Different Kind of AI Entrepreneur

How can entrepreneurs incorporate the benefits of AI while maintaining their dedication to serving fellow human beings? On this episode of Mind Matters News, host Robert J. Marks welcomes David Copps, a renowned entrepreneur, technologist, and thought leader with over two decades of experience pioneering advancements in artificial intelligence and other emerging technologies. He’s the founder and CEO of a company called Worlds. Dave is at the forefront of AI-driven innovation, and that will be subject of our two-part conversation. In Part 1, Copps discusses a brain surgery that profoundly influenced his life and outlook. He talks about his appreciation for music and how that has strengthened his career. Through his study of anthropology and corporate culture in college, Copps

Monday Microsofty 16: The Leaky Bucket

The puzzler must decide where to place the hole for maximum distance of outward flow. And explain how the problem would change on the Moon
One hint for the solution to the hot washer problem, given here, is the old trick for getting a tight lid off a jar: Running hot water over it.

How AI Can Complement Human Capabilities: More with Dr. Joe McDonald

On this episode, host Robert J. Marks concludes a conversation with psychologist Dr. Joe McDonald exploring the relationship between cognitive psychology and artificial intelligence (AI). The age of AI is upon us and is already changing the way we conduct our lives. What is the optimal division of tasks between humans and machines? In Part 2 of this interview, Dr. McDonald and Dr. Marks discuss the differences between how humans and AI process information. They review the unique abilities of humans that AI cannot replicate, while exploring how AI can be used to complement human capabilities. This is Part 2 of a two-part conversation. Additional Resources Joe McDonald at Jumpseat Research Listen to Part 1 of the conversation. Podcast TranscriptDownload

Beyond the Physical: A Panel Discussion on the Nature of the Mind

Many proponents of artificial intelligence operate from an assumption that our own minds and conscious experience can be solely attributed to our physical brains. But is this assumption true? This question is the key focus of the book Minding the Brain, edited by our guests: Angus Menuge, Brian Krouse, and Robert J. Marks. Joining them to discuss this volume is today’s host, Pat Flynn. Minding the Brain aims to explore alternatives to physicalism/materialism in philosophy of mind, bringing together experts from various fields like computer science, neuroscience, and philosophy. The book aims to open up the discussion and show that physicalism is not the only viable option, encouraging interdisciplinary dialogue between science and philosophy of mind. Enjoy this discussion with

Cognitive Psychology and the Limits of AI: An Interview with Dr. Joe McDonald

On this episode, host Robert J. Marks begins a conversation with Dr. Joe McDonald exploring the relationship between cognitive psychology and artificial intelligence (AI). Dr. Joe McDonald is an expert in cognitive psychology and human factors research. He is the CEO and Principal at Jumpseat Research, a firm that applies cognitive science principles to improve technology design and user experiences. Dr. McDonald has over 15 years of experience in this field, holds a PhD in Human Factors from Georgia Tech, and is passionate about empowering people through technology. This discussion covers the history and core principles of cognitive psychology, including how it challenged the behaviorist view by emphasizing the importance of internal mental processes. The interview also examines the

The Hype and Limitations of Generative AI

On this episode, host Robert J. Marks concludes his conversation with economics professor and author Gary Smith about the hype and limitations of generative AI. Smith is the Fletcher Jones Professor of Economics at Ponoma College and a frequent contributor to Mind Matters News. In this portion of the conversation, Smith and Marks explore the hype around artificial general intelligence (AGI) and explain how current large language models lack true reasoning and creative capabilities, despite regular claims of impending AGI from people like OpenAI’s Sam Altman. Smith provides examples demonstrating how these models make nonsensical or incorrect responses to logical problems and financial questions, highlighting their inability to understand context and perform meaningful reasoning.

The AI Bubble: Lessons from Past Financial Bubbles

In this installment of the Mind Matters News podcast, host Robert J. Marks begins a conversation with economics professor and author Gary Smith about the hype of generative AI and its impact on the market. Smith is the Fletcher Jones Professor of Economics at Ponoma College and a frequent contributor to Mind Matters News. Smith argues that generative AI, embodied in services like ChatGPT and Google’s Gemini, exhibits many characteristics of past market bubbles, including excessive hype, lack of profitability, and unrealistic expectations. Smith holds that generative AI models have limited practical economic value. They may be good at finding statistical patterns but struggle to distinguish meaningful, useful correlations from coincidental ones. Smith describes the fundamental