Jønathan Lyons is an affiliate scholar at the Institute for Ethics and Emerging Technologies and an assistant professor at Bucknell University. He also writes experimental fiction. He is the co-founder of Cicatrix Publications, along with Krysia Jopek. The first project from the press will be Cicatrix Journal, featuring experimental prose and poetry.
Dr. Roman V. Yampolskiy is a Tenured Associate Professor in the department of Computer Engineering and Computer Science at the Speed School of Engineering, University of Louisville. He is the founding and current director of the Cyber Security Lab and an author of many books including Artificial Superintelligence: a Futuristic Approach. During his tenure … Read More
Peter Voss is Founder and CEO, Adaptive Artificial Intelligence Inc. He is an entrepreneur with a background in electronics, computer systems, business, and technical software. He is also concerned with the intersection between artificial intelligence software and the human condition as conceived by cognitive science, philosophy, psychology, and ethics. Since the early 1990’s he … Read More
In this podcast, Nicole Tedesco and I discuss quantum neural networks. Beginning with classical NNs, then moving on to quantum effects in biology, the implications of the afformentioned effects for neuroscience, information theory, and, finally quantum neural networks. This recording is at once mind-bending and accessible. Nicole is extremely gifted when it comes to … Read More
In this podcast we discuss Aristotle, science fiction cinema, Heidegger, friendly AI, the threats and promises of superintelligent software, technology’s impact on society, surveillance states, and cyborg citizens. Peter Joseph Moons has a wide academic background and has spent over a dozen years outside the United States. Among his travels, he was in Panama … Read More
Monica Anderson is CTO and co-founder of Sensai Corporation and founder of Syntience Inc. She has created Industrial grade Model Based (programmed) AI systems for decades but insists that the path to human-like Understanding Machines requires adopting “Model Free Methods” where ALL Models of the Problem Domain are created by the system itself (through … Read More