Creating Inclusive Learning (part 1) with Taris Mullins

The Future of Professional Education

Вміст надано Sean Dagony-Clark | ThriveDX. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Sean Dagony-Clark | ThriveDX або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.

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Understanding the Elegant Math Behind Modern Machine Learning 1:14:43

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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…

3 роки тому 23:40

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Note: this is part 1 of a 2-part episode.

Taris Mullins is an expert on diversity and inclusion, and we’re lucky to learn from him in this episode of TFPE. Topics in part 1 of this episode include ways to create an inclusive learning environment, equality vs. equity, fostering introspection in educators, the importance of leadership, the “snowball effect” of inequity, and groundwater and the dying fish. (That last one will make sense once you listen, we promise.)

Links and further reading from Taris:

Taris’ LinkedIn page and email (he’d love to hear from you!)
Racial Equity Institute: The Groundwater Approach
Center for Public Education Brief: Educational Equity
Brookings Institute: Challenges Facing Black Men
The Leadership Academy: Culturally Responsive Leadership

Have a great idea for a podcast topic? You can find Sean on Twitter, TikTok, Instagram, LinkedIn, or by e-mail. Reach out and share what matters to you.

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#Podcasting Education #Sean Dagony-Clark | ThriveDX

The Future of Professional Education