TTR Special - Teacher training and tech in the classroom: With Graham Stanley and BETT UK

Teachers Talk Radio

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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 mathematical concepts that power 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…

circa un anno fa 57:58

Graham Stanley is joined by special guests to discuss teacher training and tech in the classroom, focussing on the upskilling needed to accompany the introduction of technology to the classroom. This show is brought to you in partnership with BETT Global and features previews of BETT Show 2025! With budgets being tight, the importance of schools maximising the use of the existing technology to succeed has become paramount. In this show, we talk about the free opportunities at BETT like Tech User Labs, Connect @ Bett and TableTalks. Guests are EJ Quinn (Bett's Head of Community Development) and Dan Dryer (Maths teacher and digital learning manager at Staning Grammar School). Get your ticket for BETT 2025 here: https://uk.bettshow.com/visitor-registration

1006 episodi

#Teachers Talk Radio #Special Guests #Podcasting Education

TTR Special - Teacher training and tech in the classroom: With Graham Stanley and BETT UK

Teachers Talk Radio

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published circa un anno fa

MP3•Pagina principale dell'episodio

1006 episodi

#Teachers Talk Radio #Special Guests #Podcasting Education

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