Player FM - Internet Radio Done Right
Checked 4d ago
추가했습니다 seven 년 전
Contenuto fornito da DCchurch. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da DCchurch o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
Player FM - App Podcast
Vai offline con l'app Player FM !
Vai offline con l'app Player FM !
Podcast che vale la pena ascoltare
SPONSORIZZATO
T
TechSurge: Deep Tech VC Podcast


1 Understanding the Elegant Math Behind Modern Machine Learning 1:14:43
1:14:43
Riproduci in seguito
Riproduci in seguito
Liste
Like
Like aggiunto1:14:43
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…
Dearing Christian Church
Segna tutti come (non) riprodotti ...
Manage series 2288025
Contenuto fornito da DCchurch. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da DCchurch o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
Being - Bringing - Building
…
continue reading
448 episodi
Segna tutti come (non) riprodotti ...
Manage series 2288025
Contenuto fornito da DCchurch. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da DCchurch o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
Being - Bringing - Building
…
continue reading
448 episodi
כל הפרקים
×Almost 2000 years later, we're still talking about Jesus feeding 20,000 people with a lunchable! Why?
Alignment in life is a much bigger issue than the tread life of our car tires.
What we find in Jonah 3 mirrors what we see in Jonah 1. So this time around, who will be judged and who will be saved? The answer is truly a monumental event in history.
In a time of utter desperation, Jonah had only One Place to go.
God set Jonah up to accomplish something not one of the other OT prophets experienced. What would Jonah do with this incredible opportunity?
When we think about dust, does it make us think about the future? Should it?
How many of us are satisfied with our prayer lives?
Every single member of God's kingdom is a prized recruit.
In what ways are we called to stand in the gap?
The best 6 word story ever told...
When Jesus came into this world, He brought something with Him that had been missing a long time.
Around 730 years before the birth of Christ, the prophet Isaiah said the light of the world was coming and that light would come in the form of a.....baby!
Does anyone like to wait???
Peter ends his letter with a dose of REAL power.
The followers of Jesus are all called to dress themselves in the same way.
Benvenuto su Player FM!
Player FM ricerca sul web podcast di alta qualità che tu possa goderti adesso. È la migliore app di podcast e funziona su Android, iPhone e web. Registrati per sincronizzare le iscrizioni su tutti i tuoi dispositivi.