Exploring our vast universe, in this episode Jon Krohn meets with Daniela Huppenkothen at the University of Amsterdam's astronomy department for a wide-ranging discussion about building instrumentation for telescopes, collecting data from outer space and how to sort astronomy’s problem of enormous amounts of data.Additional materials: www.superdatascience.com/732Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Ethics and machine intelligence pioneer Nell Watson speaks to host Jon Krohn about the differences between AI ethics and AI safety, how crying wolf may result in future complications for AI development and the importance of ensuring IEEE standards to mitigate and regulate AI risks. She also touches on what she considers a “second Enlightenment”, in which we may start to form intimate relationships with AI—to both parties’ benefit.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• AI ethics and AI safety [05:30]• How "moving fast" could break the world [18:07]• The shifting relationship between humans and machines [29:54]• International ethics standards, and their review process [52:10]• Current and future ethical standards [1:05:31]• Building a universal basic income with AI [1:19:23]Additional materials: www.superdatascience.com/731

In this episode, Kyle Daigle, COO of GitHub, joins Jon Krohn to discuss the transformative impact of generative AI tools like GitHub Copilot. Learn how these tools streamline software development, enhance collaboration, and accelerate code reviews. Discover innovative approaches to collaboration and innersourcing, reshaping the future of teamwork in the digital age.Additional materials: www.superdatascience.com/730Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Dr. Blake Richards discusses the world of AI and human cognition this week. Learn about the essence of intelligence, the ways AI research informs our understanding of the human brain, and discover the potential future scenarios where AI and humanity might intersect.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Blake's research and his take on intelligence [09:56]• How we can evaluate progress in artificial general intelligence [15:54]• Blake's thoughts on biomimicry [20:57]• Why Blake thinks the fears regarding AI are overdone [25:38]• The most effective strategies to mitigate AI fears without hindering innovation [35:31]• What steps can we take to ensure that AI supports human flourishing [45:23]• The importance of interpreting neuroscience data through the lens of ML [55:08]• Backpropagation, gradient descent and the brain [1:17:32]Additional materials: www.superdatascience.com/729

Learn how to achieve human-like outputs from LLMs in this week’s Five-Minute Friday with Jon Krohn. Understand the various current methods available to decode and generate text, as well as the differences between them. Find out about greedy search, beam search, sampling, and contrastive search, and how you can use them to create incredibly useful LLMs.Additional materials: www.superdatascience.com/728Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Coded bias, intersectionality in AI, and computer vision: Founder of the Algorithmic Justice League Joy Buolamwini talks to host Jon Krohn about the impact of exclusion and inclusion in datasets, the need to address intersectionality when identifying racial, age, or gender-based prejudice in machine learning tools, protections for artists and creative practitioners against AI, and the role that AI may have in combating systemic racism.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What coded bias is [06:49]• The problem with bias in machine learning datasets [18:41]• The Incoding Movement [42:08]• About the Pilot Parliaments Benchmark [52:07]• Ethics and the future of AI [1:20:10]• The potential for AI to end systemic racism [1:32:59]Additional materials: www.superdatascience.com/727

Ben Jones, CEO of Data Literacy, discusses the seven crucial components of effective data leadership. From ethics to technology and fostering a data-centric culture, Jones provides actionable insights and practical examples. Tune in to empower your organization with purposeful and ethical data strategies from day one.Additional materials: www.superdatascience.com/726Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Dr. Kim Stachenfeld, Research Scientist at Google DeepMind and Affiliate Professor at Columbia University, delves into the realms of AI and neuroscience as she discusses computer-based simulations of the human brain, the efficiency of language in compression, and the neuroscience theories shaping the future of artificial intelligence. Discover the secrets behind memory formation, cognitive enhancement, and the potential of Artificial General Intelligence (AGI) in this thought-provoking episode.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• The importance of simulations in the context of human intelligence [05:44]• The basic approach to simulating human intelligence or physical systems [09:30]• Will simulations help us realize AGI? [37:21]• The cross-disciplinary potential of LLMs [40:20]• The special role of our brain’s hippocampus in memory formation [1:05:15]• Kim's research on reinforcement learning and neural representation [1:15:02]• Compression in representation learning [1:38:51]• What skills should an aspiring computational neuroscientist hone [1:50:30]Additional materials: www.superdatascience.com/725

In this Friday episode, host Jon Krohn talks to UCSF’s David Moses about BRAVO (Brain-Computer Interface Restoration of Arm and Voice), a study led by Edward Chang and Karunesh Ganguly that helps patients who have lost the ability to speak to communicate once again via a speech neuroprosthesis. Postdoctoral engineer David Moses, who is a part of BRAVO, reveals the data and machine learning models that help BRAVO predict the words and facial expressions that a paralyzed patient is trying to form via their brain activity, crucially helping patients to communicate with medical practitioners and loved ones.Additional materials: www.superdatascience.com/724Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Mathematical optimization should be known to every data scientist: Jon Krohn speaks to Jerry Yurchisin, Data Science Strategist at Gurobi, the decision-making technology and best-kept secret of 80% of America’s leading enterprises.This episode is brought to you by the Zerve data science dev environment,  by ODSC, the Open Data Science Conference, and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• What mathematical optimization is [04:27]• How Gurobi solver works [29:01]• How to use Gurobi with Python [36:08]• Coding and algebra resources [41:14]• When to use mathematical optimization and machine learning together [54:23]• Using mathematical optimization in natural language processing [1:01:00]Additional materials: www.superdatascience.com/723