In this episode of Breaking Math, hosts Autumn and Gabriel dive deep into the complex relationship between artificial intelligence (AI) and consciousness. They explore historical perspectives, engage in philosophical debates, and examine the ethical implications of creating conscious machines. Topics include the evolution of AI, challenges in defining and testing consciousness, and the potential rights of AI beings. The episode also touches on the Turing Test, strong AI vs. weak AI, and concepts like personhood and integrated information theory. Join us as we reflect on the nature of consciousness, AI ethics, and the responsibilities tied to advanced AI technology.

Keywords: AI, consciousness, Turing test, strong AI, weak AI, ethics, philosophy, personhood, integrated information theory, neural networks

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In this episode of Breaking Math, hosts Autumn and Gabriel take a deep dive into the paper “Towards Equilibrium Molecular Conformation Generation with GFlowNets” by Volokova et al., published in the Digital Discovery Journal by the Royal Society of Chemistry. They explore the cutting-edge intersection of molecular conformations and machine learning, comparing traditional methods like molecular dynamics and cheminformatics with the innovative approach of Generative Flow Networks (GFlowNets) for molecular conformation generation.

The episode covers empirical results that showcase the effectiveness of GFlowNets in computational chemistry, their scalability, and the role of energy estimators in advancing fields like drug discovery. Tune in to learn how machine learning is transforming the way we understand molecular structures and driving breakthroughs in chemistry and pharmaceuticals.

Keywords: molecular conformations, machine learning, GFlowNets, computational chemistry, drug discovery, molecular dynamics, cheminformatics, energy estimators, empirical results, scalability, math, mathematics, physics, AI

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You can find the paper “Towards equilibrium molecular conformation generation with GFlowNets” by Volokova et al in Digital Discovery Journal by the Royal Society of Chemistry.

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In this episode of Breaking Math, host Autumn sits down with authors Christophe Gole and Nancy Pick to explore the fascinating world of mathematical patterns in plants, inspired by their new book Do Plants Know Math?. Dive into the intersection of mathematics and biology, as they discuss the historical context of plant mathematics and how concepts like the Fibonacci sequence, the golden ratio, and spiral formations reveal nature's inherent mathematical beauty. The conversation uncovers the optimization of plant structures, the significance of women in mathematics, and includes insightful recommendations for further reading.

Tune in to learn how math in nature plays a pivotal role in shaping the world around us, from phyllotaxis to fractals, and the broader implications for AI, physics, and topology.

Keywords: mathematics, biology, plant math, Fibonacci, phylotaxis, spirals, golden ratio, fractals, nature, science, women in math,topology, ai, physics, math, plants, gardening

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You can connect with Christophe Gole and Nancy Pick on LinkedIn, and find their Book “Do Plants Know Math?” on Amazon.

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