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TechSurge: Deep Tech VC Podcast
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1 Understanding the Elegant Math Behind Modern Machine Learning 1:14:43
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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…
Beans and the toothpick
Manage episode 453209341 series 2449822
Contenu fourni par LBC. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par LBC ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
This week's clips from 2022 feature a man calling in with a tip, there's a story about The Who and a warning about fuelling up on E.
316 episodes
Manage episode 453209341 series 2449822
Contenu fourni par LBC. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par LBC ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
This week's clips from 2022 feature a man calling in with a tip, there's a story about The Who and a warning about fuelling up on E.
316 episodes
Tous les épisodes
×In these clips from 2022, we were wondering who might replace Mr Blobby, gas companies were very happy, Michael Gove had a plan and I had a treat in Florence.
In this week's clips from when Bodger Johnson was the Dear Leader, there's a banking alert, a Beatles update and in a bang-up-to-date clip, an advert for, or rather, against Britain.
Following on from last week, in these clips from three years ago, we learn the difference between us and them, find the worst PM in history (apart from the ones that were coming that we didn't know about yet) and there's a bang-up-to-date clip from last weekend that is somewhat mystifying.
It was three years ago and politicians were being "very clear" and "robust" and we were remembering what Sundays used to be like.
It was early 2022 and we had a slug problem, a Smugg fan calls and we had a snack crisis.
It was winter in early 2022 and the Prime Minister of the day was a pig in a bottomless pit of it, we wondered who would replace him and I had a call from a Jacob Rees-Mogg fan.x
It was almost exactly four years ago and there was an odd pub move, I was continuing to be confused by a bird, a man had trouble operating his phone and there was a conundrum about Spain.
In these clips from 2021, we were in the middle of The Thing, the Dear Leader was thinking of opening the pubs, but in a strange way, I was confused by a bird and there was quite a lot of bleeping.
In this episode, the Tangerine Scream was being disciplined, and as a special Christmas treat, there's a fight between me and Brian from Stockton-on-Tees and the most recent call from Jonathan from Harrow.
In these clips, there's a woman who makes no sense at length, footballers were ignoring hygiene rules and there's a lot of info on the coldest place on Earth.
This week;s clips include a novel cure for Covid, a man forms his own party, there's a weather forecast that's worse than what we've got now and some hero news that hasn't aged well.
This week's clips from 2022 feature a man calling in with a tip, there's a story about The Who and a warning about fuelling up on E.
In this week's clips, I had been disrespectful to Peru, a lady calls with news about the Sun and I take on the Bank of England.
This week's clips feature an alarm going off, we find out how badly we fared under the leadership of Mr Blobby and I think I have detected the real identity of a regular caller.
This week's clips are from just after the 2020 American election, The Lurgy was still among us and Mr Blobby was the Dread Leader
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