Super Data Science: ML & AI Podcast with Jon Krohn

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

This episode delves into an intriguing research paper from top institutions like UC Irvine and MIT, analyzing the carbon emissions of AI-driven writing and illustrating versus traditional human methods. The findings might surprise you. Is AI the more eco-friendly option? Listen now to explore this compelling intersection of technology and sustainability.Additional materials: www.superdatascience.com/722Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Dr. Amira Abbas, Quantum Computing Researcher at the University of Amsterdam, explores the captivating world of Quantum Machine Learning. Learn about the distinct characteristics of qubits and the vital processes of Quantum ML. For those keen on exploring further, Amira offers noteworthy ML tools suggestions to kickstart your journey in Quantum Computing.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  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:• Quantum computing vs classical computing [03:42]• What is quantum entanglement [11:45]• What is a qubit [15:07]• The best problems for quantum ML [30:08]• Three distinct steps in quantum ML and its potential [39:06]• Quantum neural networks [49:03]• What Amira's working on at the moment [1:10:20]• How to get started in quantum ML [1:21:06]• Amira's recommended ML tools for quantum computing [1:30:39]Additional materials: www.superdatascience.com/721

DALL-E may be playing second fiddle to Midjourney no longer with OpenAI’s latest model for generative AI art, DALL-E 3. Host Jon Krohn breaks down the newest model’s capabilities to go beyond producing incredible artistic images, and that follows your written brief to the letter.Additional materials: www.superdatascience.com/720Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode, Margot Gerritsen and Jon Krohn discuss the fundamentals of computational mathematics and its application in studying fluid dynamics. Margot also talks about how her synesthesia led to a lifelong interest in math, using computational mathematics to predict airflow, and why it is so important that underrepresented groups in data science become more visible through organizations like Women in Data Science.This episode is brought to you by the Zerve data science dev environment, 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:• About computational mathematics and its relation to data science [03:19]• Margot’s current research into emissions simulation [15:05]• Computational Mathematics: Real-World Applications [33:18]• The importance of wind tunnels in testing designs [47:54]• The beauty of linear algebra [1:05:59]• Synesthesia: Seeing Numbers as Colors [1:16:33]• About Women in Data Science [1:24:59]Additional materials: www.superdatascience.com/719

Elevate your ChatGPT game with a useful custom instruction. Tune in to hear Jon’s trick for maximizing ChatGPT’s potential.Additional materials: www.superdatascience.com/718Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Dr. Dan Shiebler, Head of ML at Abnormal Security, joins Jon Krohn this week and unveils the intricacies of cybercrime detection and email protection, and the role of AI in future challenges.This episode is brought to you by Grafbase, the unified data layer, by ODSC, the Open Data Science Conference,  and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• The heuristic and “intermediate” ML models that they develop at Abnormal Security [07:08]• How Dan uses LLMs at Abnormal Security [15:46]• How false negatives are individually the biggest classification error to avoid in cybersecurity [20:49]• How head-to-head competitor analysis helps refine models [34:34]• Resilient ML in cybersecurity [38:36]• Abnormal Security’s routine for updating their models [52:37]• AI's impact on the urban world [1:09:57]• How to stay updated in data science and AI [1:13:46]Additional materials: www.superdatascience.com/717