“Artificial Intelligence: A Guide for Thinking Humans” with Professor Melanie Mitchell

Recent developments in the field of Artificial Intelligence are fascinating as well as terrifying; there are extravagant promises as well as frustrating setbacks; there is great progress in narrowly focused AI applications, and there is lack of progress in the field of Artificial General Intelligence. In this episode of Bridging the Gaps I speak with professor Melanie Mitchell and we discuss the history, recent successes, huge expectations and emerging fears and frustrations in the field of Artificial Intelligence. We discuss fascinating and intriguing research that professor Melanie Mitchell discusses in her book “Artificial Intelligence: A Guide for Thinking Humans”.

Melanie Mitchell is a professor of complexity at the Santa Fe Institute in New Mexico. Her research focuses on genetic algorithms, conceptual abstraction, analogy-making and visual recognition in Artificial Intelligence Systems. Professor Mitchell originated the Santa Fe Institute’s Complexity Explorer project, an online learning resource for complex systems.

We begin our discussion by reviewing the history of this fascinating field and by discussing initial claims and hype that emerged at the start. We then discuss the transition from rule-based AI systems to machine learning approaches. We look into the successes of AI in narrowly defined task-based systems; we discuss the anomalies that emerge when the data is mildly changed. We then discuss the future development in this field and the challenges involved in making any meaningful progress towards Artificial General Intelligence and creating common sense in AI systems. The challenge of creating common sense seems similar to the challenge of finding and understanding dark matter in the field of physics, we discuss this. We look into the profound disconnect between the continuing hype and the actual achievements in AI, what the field has accomplished and how much further it has to go. We also discuss the approach of conceptual abstraction and incorporating analogy-making in AI systems. This has been a fascinating discussion about this ambitious and thought-provoking field.

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

By |May 1st, 2022|Artificial Intelligence, Computer Science, Information, Podcasts, Research, Technology|
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On Public Communication of Science and Technology with Professor Bruce Lewenstein

From the museums of the fifteenth century, to the public lectures of Michael Faraday in the nineteenth century, and to various science fairs & festivals of the twenty-first century, public engagement of science has evolved immensely. Public engagement of science in this age of hyper connectivity is “a multidimensional and multi-directional activity”. In this episode of Bridging the Gaps I speak with professor Bruce Lewenstien, a widely-known authority on public communication of science and technology.

Bruce Lewenstein is a professor of science communication at Cornell University. He has done extensive work on how science and technology are reported to the public and how the public understands complex and sometimes contested scientific issues. He studies and documents the ways that public communication of science is fundamental to the process of producing reliable knowledge about the natural world.

We begin by discussing the “multidimensional” and “multidirectional” nature of science communication. We then focus on the evolution of science communication from the early days of science to present time. We touch upon the huge impact on the public understanding of science that few books published in the mid-twentieth century had. We discuss in detail documentaries such as “The Ascent of Man” and “Cosmos” and the emergence of the phenomenon of “celebrity scientists”. The effectiveness of science communication in the age of information overload and in the age of misinformation and disinformation is an important topic that we discuss. We then discuss the challenges faced by the process of science communication and the societal challenges that effective science communication can help us to deal with.

Complement this discussion with A Passion for Ignorance” and for Denials and Negations with Professor Renata Salecl and then listen to “Philosophy of Information” and “Ethics of Information”.

By |February 12th, 2022|History, Information, Knowledge, Podcasts, Research, Technology|
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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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