Hosted by Gabriel Hesch and Autumn Phaneuf, who have advanced degrees in electrical engineering and industrial engineering/operations research respectively, come together to discuss mathematics as a pure field all in its own as well as how it describes the language of science, engineering, and even creativity.
Breaking Math brings you the absolute best in interdisciplinary science discussions - bringing together experts in varying fields including artificial intelligence, neuroscience, evolutionary biology, physics, chemistry and materials-science, and more - to discuss where humanity is headed.
website: breakingmath.io
linktree: linktree.com/breakingmathmedia
email: breakingmathpodcast@gmail.com
All content for Breaking Math Podcast is the property of Gabriel Hesch and Autumn Phaneuf and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Hosted by Gabriel Hesch and Autumn Phaneuf, who have advanced degrees in electrical engineering and industrial engineering/operations research respectively, come together to discuss mathematics as a pure field all in its own as well as how it describes the language of science, engineering, and even creativity.
Breaking Math brings you the absolute best in interdisciplinary science discussions - bringing together experts in varying fields including artificial intelligence, neuroscience, evolutionary biology, physics, chemistry and materials-science, and more - to discuss where humanity is headed.
website: breakingmath.io
linktree: linktree.com/breakingmathmedia
email: breakingmathpodcast@gmail.com
Algorithms & AI Simplified - The Not So Mathy Version
Breaking Math Podcast
9 minutes
4 days ago
Algorithms & AI Simplified - The Not So Mathy Version
This conversation explores the intricate relationship between mathematics and artificial intelligence (AI) for people who don't want to get too math heavy and want things simplified as much as possible. It delves into how algorithms, machine learning, and various mathematical tools like linear algebra, calculus, and statistics form the backbone of AI technologies. The discussion highlights real-world applications of AI, the ethical implications of its use, and the importance of mathematical literacy in an increasingly AI-driven world. Ultimately, it emphasizes that understanding the mathematical foundations of AI empowers individuals to engage meaningfully with technology and its impact on society.
Takeaways:
* Mathematics powers seemingly magical technologies like AI.
* Algorithms are sets of instructions that guide AI processes.
* Machine learning finds patterns in data through trial and error.
* Linear algebra organizes data into vectors and matrices.
* Calculus helps AI find optimal solutions to problems.
* Probability theory allows AI to express uncertainty in predictions.
* AI applications include medical diagnostics and financial algorithms.
* Self-driving cars use mathematics to navigate and make decisions.
* Mathematical literacy is crucial in an AI-driven world.
* Understanding AI's math gives individuals agency in technology.
Chapters:
00:00 The Mathematical Heart of AI
03:28 Mathematics in Action: Real-World Applications
05:33 Empowerment Through Understanding Mathematics
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email: breakingmathpodcast@gmail.com
Breaking Math Podcast
Hosted by Gabriel Hesch and Autumn Phaneuf, who have advanced degrees in electrical engineering and industrial engineering/operations research respectively, come together to discuss mathematics as a pure field all in its own as well as how it describes the language of science, engineering, and even creativity.
Breaking Math brings you the absolute best in interdisciplinary science discussions - bringing together experts in varying fields including artificial intelligence, neuroscience, evolutionary biology, physics, chemistry and materials-science, and more - to discuss where humanity is headed.
website: breakingmath.io
linktree: linktree.com/breakingmathmedia
email: breakingmathpodcast@gmail.com
