Gilbert Strang: Linear Algebra, Engineering, Computer Science, AI | Hrvoje Kukina Podcast #26
I had an amazing conversation with Professor Gilbert Strang, an American mathematician and renowned linear algebra professor known for his exceptional teaching skills. We discussed a wide range of topics, including what inspired him to pursue a career in mathematics, some of the most important moments in his academic career, and his focus on linear algebra as a primary area of expertise. He also shared insights on major mathematical discoveries or contributions he has made, how the role of mathematics in society has changed over the course of his career, and the challenge of making complex mathematical concepts accessible to students. We talked about effective ways to engage students in mathematics, abstract mathematical concepts and their practical relevance, and how teaching has evolved with the rise of online education platforms. Professor Strang also explained why linear algebra is such an essential field of study in mathematics, its influence on disciplines like computer science and engineering, and the most exciting modern applications of linear algebra, including numerical methods. We explored the significance of eigenvalues and eigenvectors in real-world problems, as well as the intersection of linear algebra with artificial intelligence and quantum mechanics. He shared his thoughts on how computational tools have changed the way we approach mathematical problems and discussed the role of MIT OpenCourseWare in making mathematical knowledge more accessible. Additionally, we covered current research problems in linear algebra, the challenge of translating abstract theory into practical applications, the distinction between pure mathematics and applied mathematics, and the most beautiful theorems in mathematics. Professor Strang also reflected on the mathematicians who have influenced him the most, memorable teaching or research experiences, and the future of the field of linear algebra in the next decade. Finally, he offered advice for young researchers or educators starting their careers in mathematics. Gilbert Strang LINKS: Books: https://www.amazon.com/Books-Gilbert-... MIT web page: https://math.mit.edu/~gs/ Wiki: https://en.wikipedia.org/wiki/Gilbert... X: https://x.com/gilstrangmit Hrvoje Kukina LINKS: Linkedin: / hrvojekukina Instagram: / hrvojekukina Twitter: / hrvojekukina TikTok: / kukinahrvoje YouTube: / @harvkukina Support my work: Patreon: / hrvojekukina PayPal: https://www.paypal.me/HrvojeKukina Contact: info[at]hrvojekukina.com #LinearAlgebra #GilbertStrang #MITOpenCourseWare

Risto Miikkulainen: AI Research, Neural Networks, Evolutionary Computation|Hrvoje Kukina Podcast #25

Can AI Prove It? Terence Tao on “Big Math” and Our Theoretical Future | The Futurology Podcast

Philosopher David Chalmers asks: When we talk to AI, what are we talking to?

I Screwed Up (Teaching Gen AI) - The Three Fixes

Gilbert Strang: Linear Algebra, Teaching, and MIT OpenCourseWare | Lex Fridman Podcast #52

1. The Geometry of Linear Equations

Why Does 2 + 2 = 4? What Math Teaches Us About Deep Reality

Linear Algebra, Deep Learning, FEM & Teaching – Gilbert Strang | Podcast #78

From Child Prodigy to Winning Fields Medal, Nobel of Math

Steven Strogatz’s Secrets of Math Communication

Give Me 30 min, I will make Linear Algebra Click Forever

AI and the Battle for the Soul with Iain McGilchrist - Lecture 1: Information is Not Understanding

The Big Picture of Linear Algebra

How To Think SO Clearly People Assume You're Brilliant

Nobody Explained the Schrödinger Equation Like THIS!

Terry Tao "How to think like a mathematician" presented by the UCLA Curtis Center

The deeper meaning of matrix transpose

The Gradient Podcast - Gil Strang: Linear Algebra and Deep Learning

Mathematician Edward Frenkel on finding meaning in the AI age.

