ACERCA DE ESTE EPISODIO

Inglés
Estados Unidos

TRANSCRIPCIÓN 🔗

BUSCAR EPISODIOS ANTERIORES

Buscar episodios anteriores de The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence).

OTROS EPISODIOS EN ESTE PODCAST

For more than a decade, AI has advanced by training ever-larger models on ever-larger datasets. But as high-quality training data becomes harder to find and pretraining grows increasingly expensive, researchers are looking for new ways to keep foundation models improving. In this episode, Damian B…
Text-to-image models have become remarkably good at producing realistic images. But realism isn’t the same as correctness. Ask for several distinct people, a specific composition, or a high-resolution image generated locally, and today’s models still struggle in surprising ways. In this episode, F…
The conventional wisdom in AI is that the next breakthrough will come from more compute, more data, and larger models. But what if the next leap comes from somewhere else? In this episode, Max Welling—co-founder and CTO of CuspAI and professor at the University of Amsterdam—argues that physics may…
In this episode, Alex Wiltschko, founder and CEO of Osmo, joins the show to discuss his goal of giving computers a sense of smell and what it takes to build olfactory intelligence. We explore the science behind smell, from the hundreds of olfactory receptors in the human nose to the challenge of m…
In this episode, Sam talks with Dev Rishi, GM of AI at Rubrik, about what happens when agents move beyond answering questions and start taking action across tools, systems, and business processes. We explore why the enterprise playbook of static guardrails plus human approval starts to break down …
Descargo de responsabilidad: El podcast y el arte incluidos en esta página son de Sam Charrington, que es propiedad de su propietario y no está afiliado ni respaldado por Listen Notes, Inc.