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#Músicos #LA NACION Podcasts

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…

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Suena bien es el podcast de Rolling Stone Argentina.
Un podcast exclusivo de LA NACION

6 episoade

Suena bien

updated acum 6 ani

Distribuie

Pagina seriei•Feed

Suena bien es el podcast de Rolling Stone Argentina.
Un podcast exclusivo de LA NACION

6 episoade

#Músicos #LA NACION Podcasts

Toate episoadele

1
Entrevista a Flavio Cianciarulo 42:25

acum 6 years42:25

42:25

En este episodio, Flavio Cianciarulo habla de su nuevo show solista y cómo es tocar en la misma banda que sus hijos .

1
Por qué La Renga se convirtió en la banda de estadios más grande del rock argentino 29:50

acum 6 years29:50

29:50

A treinta años de su primer show, Bruno Larocca, Yamila Trautman y Pablo Plotkin analizan el largo camino que llevó al trío de Mataderos a dominar la escena nacional.

1
Cómo Federico Moura cambió el rock nacional 33:07

acum 6 years33:07

33:07

A 30 años de su muerte, el periodista Oscar Jalil conversa con los editores de Rolling Stone sobre la obra del líder Virus

1
Balance musical 2018: qué discos y canciones definieron el año 25:33

acum 6 years25:33

25:33

Los editores de Rolling Stone hablan sobre los personajes, las ideas y los hits que marcaron esta temporada de música. Suena bien es un podcast exclusivo de LA NACION

1
Cómo es el proyecto de ley de Cupo Femenino en Festivales 25:27

acum 6 years25:27

25:27

1
Adentro de la conversación de Adrián Dárgelos con RS 18:18

acum 6 years18:18