“The Self-Assembling Brain” and the Quest for Artificial General Intelligence with Professor Peter Robin Hiesinger

How does a network of individual neural cells become a brain? How does a neural network learn, hold information and exhibit intelligence? While neurobiologists study how nature achieves this feat, computer scientists interested in artificial intelligence attempt to achieve it through technology. Are there ideas that researchers in the field of artificial intelligence borrow from their counterparts in the field of neuroscience? Can a better understanding of the development and working of the biological brain lead to the development of improved AI? In his book “The Self-Assembling Brain: How Neural Networks Grow Smarter” professor Peter Robin Hiesinger explores stories of both fields exploring the historical and modern approaches. In this episode of Bridging the Gaps, I speak with professor Peter Robin Hiesinger about the relationship between what we know about the development and working of biological brains and the approaches used to design artificial intelligence systems.

We start our conversation by reviewing the fascinating research that led to the development of neural theory. Professor Hiesigner suggests in the book that to understand what makes a neural network intelligent we must find the answer to the question: is this connectivity or is this learning that makes a neural network intelligent; we look into this argument. We then discuss “the information problem” that how we get information in the brain that makes it intelligent. We also look at the nature vs nurture debate and discuss examples of butterflies that take multigenerational trip, and scout bees that inform the bees in the hive the location and distance of the food. We also discuss the development of the biological brain by GNOME over time. We then shift the focus of discussion to artificial intelligence and explore ideas that the researchers in the field artificial intelligence can borrow from the research in the field of neuroscience. We discuss processes and approaches in the field of computing science such as Cellular Automata, Algorithmic Information Theory and Game of Life and explore their similarities with how GENOME creates the brain over time. This has been an immensely informative discussion.

Complement this discussion by listening to The Spike: Journey of Electric Signals in Brain from Perception to Action with Professor Mark Humphries and then listen to On Task: How Our Brain Gets Things Done” with Professor David Badre.

By |November 7th, 2021|Artificial Intelligence, Biology, Computer Science, Neuroscience, Podcasts|
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Quantum Computers: Building and Harnessing the Power of Quantum Machines with Professor Andrea Morello

Quantum computers store data and perform computations by utilizing properties of quantum physics. Quantum computations are performed by these machines by utilizing quantum state features such as superposition and entanglement. Traditional computers store data in binary “bits,” which can be either 0s or 1s. A quantum bit, or qubit, is the fundamental memory unit in a quantum computer. Quantum states such as the spin of an electron or the direction of a photon, are used to create qubits. This could be very useful for specific problems where quantum computers could considerably outperform even the most powerful supercomputers. In this episode of Bridging the Gaps I speak with professor Andrea Morello and we discuss fascinating science & engineering of conceptualizing and building quantum computers. Professor Andrea Morello helps us to unpack and tackle questions such as what a quantum computer is and how we build a quantum computer.

Andrea Morello is the professor of Quantum Engineering in the School of Electrical Engineering and Telecommunications at the University of New South Wales Sydney, Australia.

I begin our conversation by asking professor Morello what a quantum computer is, and how it differs from classical and conventional computers. The no-cloning theorem’s implications in the field of quantum computers are next discussed. The no-cloning theorem states that it is impossible to create an independent and identical copy of an unknown quantum state. Professor Morello’s team uses single-spin in silicon to construct quantum computers, and we go over their approach in depth. The true value of quantum computers can only be realised if we develop creative algorithms that make effective use of quantum computers’ exponentially huge information space and processing capability. We discuss this in detail. We also touch upon the concept of quantum chaos and discuss research in this area. This has been a fascinating discussion.

Complement this with “2062: The World That AI Made” with Professor Toby Walsh and then listen to “Artificial Intelligence: Fascinating Opportunities and Emerging Challenges with Professor Bart Selman.

By |August 31st, 2021|Artificial Intelligence, Computer Science, Information, Physics, Podcasts, Technology|
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“Free Will” Through the Lenses of Philosophy and Neuroscience with Dr Alfred Mele

"Surrounding Free Will"

The debate over whether or not free will exists is not new. The main points of contention in this discussion are whether or not we have control over our actions, and if so, what kind of control we have and to what extent. On the one hand, we have a strong sense of liberty, which causes us to trust in our own free will. An intuitive and instinctive sense of free will, on the other hand, could be misinterpreted. In this episode of Bridging the Gaps, I speak with Dr Aflred Mele and we discuss the concept of “Free Will” from the perspective of philosophy and from the perspective of neuroscience.

Dr Alfred Mele is a Professor of Philosophy at Florida State University. His research interests include issues about human behavior located at the intersection of philosophy and science such as free will, personal autonomy, self-deception, self-control, intention, intentional action, motivation, and moral responsibility. He is also the past Director of the Philosophy and Science of Self-Control Project and the Big Questions in Free Will Project.

I open this discussion by asking Dr Mele to unpack the concept of “Free Will”. I then ask Dr Mele to outline important philosophical views about the concept of “Free Will” that emerged over time. We discuss in detail the relevant concepts of determinism, compatibilism, incompatibilism, and libertarianism. We then discuss the concept of Free Will through the lens of neuroscience. We discuss a number of experiments conducted by neuroscientists. The finding of these experiments seems to suggest that that free will is an illusion. But the question is, is it right to extrapolate the findings of these experiments that focus on simple choices and are conducted in controlled environments to conclusively suggest that free will does not exist. Dr Mele discusses this point in detail.

Complement this conversion with fascinating discussion with Professor Renata Salecl on “A Passion of Ignorance and Denials” and then listen to Professor David Chalmers in: “From Consciousness to Synthetic Consciousness”.

By |July 25th, 2021|Neuroscience, Philosophy, Podcasts, Research|
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