Why Machines Learn: The Elegant Math Behind AI with Anil Ananthaswamy | SparX by Mukesh Bansal скачать в хорошем качестве

Why Machines Learn: The Elegant Math Behind AI with Anil Ananthaswamy | SparX by Mukesh Bansal

Anil Ananthaswamy is a renowned science writer and journalist who has written extensively on various scientific topics. In his latest book "Why Machines Learn", Anil explores the fascinating world of artificial intelligence and machine learning. He reveals the intricate mechanisms and complex algorithms that underlie these cutting-edge technologies. Join us for a fascinating conversation with science writer Anil Ananthaswamy as he shares insights from his book and sheds light on the rapidly evolving field of AI. Tune in to gain a deeper understanding of how these machines work at a basic mathematics level. Chapters - 00:00:00 - 00:01:17 Episode introduction 00:01:17 - 00:07:55 What was Anil’s motivation behind writing his book ‘Why Machines Learn’? 00:07:55 - 00:14:20 When did AI become promising gaining interests and investments? 00:14:20 - 00:20:45 What events and figures in history slowed down the progress of AI? 00:20:45 - 00:25:30 How did John Hopfield’s Hopfield networks contributed to the field of neural networks? 00:25:30 - 00:33:03 What is backpropagation and how did it propel AI technologies? 00:33:03 - 00:38:40 What fueled optimism about AI's future prospects? 00:38:40 - 00:40:17 What measures need to be taken for AI to boost and grow in India? 00:40:17 - 00:51:40 Research and progress in AI: Past, present and future 00:51:40 - 00:57:23 What is the basic mathematics behind these AI technologies? 00:57:23 - 01:02:20 What is Anil’s advice to read a AI and mathematics-intensive book? 01:02:20 - 01:06:35 What are artificial neurons and how do they relate to the human brain? 01:06:35 - 01:07:50 Concluding today’s episode Resource List - Why Machines Learn, book by Anil Ananthaswamy - https://amzn.in/d/bmirU45 Dartmouth Summer Research Project on Artificial Intelligence - https://home.dartmouth.edu/about/arti... What is the Perceptron artificial neural network? - https://www.geeksforgeeks.org/what-is... Read about the McCulloch-Pitts Artificial Neuron - https://towardsdatascience.com/mccull... Nobel Prize in Physics 2024 - https://www.nobelprize.org/prizes/phy... What is the Hopfield Neural Network? - https://www.geeksforgeeks.org/hopfiel... Read about Backpropagation - https://en.wikipedia.org/wiki/Backpro... “Learning representations by back-propagating errors”, paper by Geoffrey Hinton, David Rumelhart and Ronald Williams - https://www.nature.com/articles/323533a0 AlexNet by Geoffery Hinton and team - https://en.wikipedia.org/wiki/AlexNet What is ImageNet? - https://www.image-net.org/about.php ‘Attention Is All You Need’, transformer architecture paper - https://proceedings.neurips.cc/paper_... What are Neural Scaling Laws? - https://en.wikipedia.org/wiki/Neural_... NeuroAI - https://neuro-ai.com/ About SparX by Mukesh Bansal SparX is a podcast where we delve into cutting-edge scientific research, stories from impact-makers and tools for unlocking the secrets to human potential and growth. We believe that entrepreneurship, fitness and the science of productivity is at the forefront of the India Story; the country is at the cusp of greatness and at SparX, we wish to make these tools accessible for every generation of Indians to be able to make the most of the opportunities around us. In a new episode every Monday, our host Mukesh Bansal (Founder of Myntra and Cult.fit) will talk to guests from all walks of life and also break down everything he's learnt about the science of impact over the course of his 20-year long career. This is the India Century, and we're enthusiastic to start this journey with you. Follow us on Instagram: / sparxbymukeshbansal Website: https://www.sparxbymukeshbansal.com You can also listen to SparX on all audio platforms Fasion | Outbreak | Courtesy EpidemicSound.com