logo
episode-header-image
Aug 2024
1h 43m

813: Solving Business Problems Optimally...

Jon Krohn
About this episode
Jerry Yurchisin from Gurobi joins Jon Krohn to break down mathematical optimization, showing why it often outshines machine learning for real-world challenges. Find out how innovations like NVIDIA’s latest CPUs are speeding up solutions to problems like the Traveling Salesman in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Email nat ... Show More
Up next
Nov 21
942: Odds of AGI by 2040? LEAP Expert Forecasts and Workforce Implications
What’s on the horizon for AI? Jon Krohn wades through opinions from more than experts, curated by the Longitudinal Expert AI Panel (LEAP), about what we can expect from the industry. From estimates on AI-assisted workers through energy consumption to AI performance in highly skil ... Show More
6m 13s
Nov 18
941: Multi-Agent Human Societies, with Dr. Vijoy Pandey
Vijoy Pandey imagines a bold new society in which agents and humans make scientific discoveries and complete physical tasks together, and he tells Jon Krohn about his work at AGNTCY, Cisco’s open-source platform for the Internet of Agents. Listen to the episode to hear Vijoy Pand ... Show More
1h 6m
Nov 14
940: In Case You Missed It in October 2025
Jon Krohn curates a selection of clips from the month that was. Hear from the orchestrators of an expanding AI universe in this episode of In Case You Missed It, with news, views and groundbreaking ideas from Sheamus McGovern, Jerry Yurchisin, Stephanie Hare, Larissa Schneider, a ... Show More
43m 27s
Recommended Episodes
Nov 2024
AI and the Future of Math, with DeepMind’s AlphaProof Team
In this week’s episode of No Priors, Sarah and Elad sit down with the Google DeepMind team behind AlphaProof, Laurent Sartran, Rishi Mehta, and Thomas Hubert. AlphaProof is a new reinforcement learning-based system for formal math reasoning that recently reached a silver-medal st ... Show More
39m 21s
May 2020
49: Thinking Machines II (Techniques in Artificial Intelligence)
Machines have been used to simplify labor since time immemorial, and simplify thought in the last few hundred years. We are at a point now where we have the electronic computer to aid us in our endeavor, which allows us to build hypothetical thinking machines by simply writing th ... Show More
57m 55s
Jun 2025
#472 – Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
Terence Tao is widely considered to be one of the greatest mathematicians in history. He won the Fields Medal and the Breakthrough Prize in Mathematics, and has contributed to a wide range of fields from fluid dynamics with Navier-Stokes equations to mathematical physics & quantu ... Show More
3h 23m
Nov 2024
Mastering Algorithms: From Binary Search Trees to Dynamic Programming and Greedy Strategies
In this episode, we explore foundational algorithms and data structures that every developer and computer science enthusiast should know. Covering everything from Binary Search Trees (BSTs) to advanced concepts like Dynamic Programming and Greedy Algorithms, this episode is packe ... Show More
28m 3s
Aug 2024
#474: Python Performance for Data Science
See the full show notes for this episode on the website at <a href="https://talkpython.fm/474">talkpython.fm/474</a> 
1h 8m
Sep 2024
AI Agents for Data Analysis with Shreya Shankar - #703
Today, we're joined by Shreya Shankar, a PhD student at UC Berkeley to discuss DocETL, a declarative system for building and optimizing LLM-powered data processing pipelines for large-scale and complex document analysis tasks. We explore how DocETL's optimizer architecture works, ... Show More
48m 24s
Jul 2025
OpenAI’s IMO Team on Why Models Are Finally Solving Elite-Level Math
In just two months, a scrappy three-person team at OpenAI sprinted to fulfill what the entire AI field has been chasing for years—gold-level performance on the International Mathematical Olympiad problems. Alex Wei, Sheryl Hsu and Noam Brown discuss their unique approach using ge ... Show More
30m 10s
Aug 2024
How to Build a Dynamic-Pricing Strategy That Works
More and more companies are turning to pricing algorithms to maximize profits. But many are unaware of a big downside. Marco Bertini, a marketing professor at Esade Business School in Barcelona, says constant price shifts can actually hurt the perception of your brand and its pro ... Show More
28m 5s
Mar 2025
Model Development Best Practices for Insurance - with Mark McLaughlin of IBM
<p>Today's guest is Mark McLaughlin, Director of Insurance in IBM's Global Industries Unit. Mark joins the podcast to discuss the biggest challenges insurers face today and how AI is transforming workflows, risk management, and customer experience. Later, he and Emerj Managing Ed ... Show More
19m 12s
Aug 2024
Launching the Fastest AI Inference Solution with Cerebras Systems CEO Andrew Feldman
In this episode of Gradient Dissent, Andrew Feldman, CEO of Cerebras Systems, joins host Lukas Biewald to discuss the latest advancements in AI inference technology. They explore Cerebras Systems' groundbreaking new AI inference product, examining how their wafer-scale chips are ... Show More
53m 14s