Dr. Robert Mena CSULB Math And Stat podcast

#Podcasting Education #CSULB Math And Stat #CSULB Math

1:14:43

Artificial intelligence is evolving at an unprecedented pace—what does that mean for the future of technology, venture capital, business, and even our understanding of ourselves? Award-winning journalist and writer Anil Ananthaswamy joins us for our latest episode to discuss his latest book Why Machines Learn: The Elegant Math Behind Modern AI . Anil helps us explore the journey and many breakthroughs that have propelled machine learning from simple perceptrons to the sophisticated algorithms shaping today’s AI revolution, powering GPT and other models. The discussion aims to demystify some of the underlying math that powers modern machine learning to help everyone grasp this technology impacting our lives, even if your last math class was in high school. Anil walks us through the power of scaling laws, the shift from training to inference optimization, and the debate among AI’s pioneers about the road to AGI—should we be concerned, or are we still missing key pieces of the puzzle? The conversation also delves into AI’s philosophical implications—could understanding how machines learn help us better understand ourselves? And what challenges remain before AI systems can truly operate with agency? If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform. Sign up for our newsletter at techsurgepodcast.com for exclusive insights and updates on upcoming TechSurge Live Summits. Links: Read Why Machines Learn, Anil’s latest book on the math behind AI https://www.amazon.com/Why-Machines-Learn-Elegant-Behind/dp/0593185749 Learn more about Anil Ananthaswamy’s work and writing https://anilananthaswamy.com/ Watch Anil Ananthaswamy’s TED Talk on AI and intelligence https://www.ted.com/speakers/anil_ananthaswamy Discover the MIT Knight Science Journalism Fellowship that shaped Anil’s AI research https://ksj.mit.edu/ Understand the Perceptron, the foundation of neural networks https://en.wikipedia.org/wiki/Perceptron Read about the Perceptron Convergence Theorem and its significance https://www.nature.com/articles/323533a0…

CSULB Math and Stat Podcast «
Dr. Robert Mena

5年之前 15:15

M4A•单集首页

On this episode, we speak with Dr. Robert Mena. We discuss his math journey, what he thinks about math in general and more. Here are the questions that we asked Professor Mena.

Can you please introduce yourself? (name, years at CSULB, classes that you teach, where did you go to school?)

Why did you choose to study math? What was your math journey like(was it super easy? Super difficult? What made it being so hard worth the struggle?)
Why did you become a professor?
What do you think math is? Or do you think math is beyond words?
What do you think makes pure math and applied math different?
Do you have any research you are working on? If so what is it? If not, then could you talk about your PHD or any other research you did?
What is your favorite theorem?

8集单集

CSULB Math and Stat Podcast

Dr. Robert Mena

CSULB Math and Stat Podcast

published 5年之前

M4A•单集首页

On this episode, we speak with Dr. Robert Mena. We discuss his math journey, what he thinks about math in general and more. Here are the questions that we asked Professor Mena.

Can you please introduce yourself? (name, years at CSULB, classes that you teach, where did you go to school?)

Why did you choose to study math? What was your math journey like(was it super easy? Super difficult? What made it being so hard worth the struggle?)
Why did you become a professor?
What do you think math is? Or do you think math is beyond words?
What do you think makes pure math and applied math different?
Do you have any research you are working on? If so what is it? If not, then could you talk about your PHD or any other research you did?
What is your favorite theorem?

8集单集

#Podcasting Education #CSULB Math And Stat #CSULB Math

所有剧集

CSULB Math and Stat Podcast

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CSULB Math and Stat Podcast

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CSULB Math and Stat Podcast

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CSULB Math and Stat Podcast

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On this episode, we speak with Dr. Ryan Blair. Here are the questions that we went over with the professor: Can you please introduce yourself? (name, years at CSULB, classes that you teach, where did you go to school?) Why did you choose to study math? What was your math journey like(was it super easy? Super difficult? What made it being so hard worth the struggle?) Why did you become a professor? What do you think math is? Or do you think math is beyond words? What do you think makes pure math and applied math different? Do you have any research you are working on? If so what is it? If not, then could you talk about your PHD or any other research you did? What is your favorite theorem?…

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