logo
episode-header-image
Jan 2024
1h 5m

AI Trends 2024: Machine Learning & Deep ...

Sam Charrington
About this episode
Today we continue our AI Trends 2024 series with a conversation with Thomas Dietterich, distinguished professor emeritus at Oregon State University. As you might expect, Large Language Models figured prominently in our conversation, and we covered a vast array of papers and use cases exploring current research into topics such as monolithic vs. modular archi ... Show More
Up next
Yesterday
Why the Next AI Breakthrough May Come from Physics with Max Welling - #774
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—argue ... Show More
58m 5s
Aug 12
Why Image Generation Needs More Than Bigger Models with Fatih Porikli - #773
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. ... Show More
56m 47s
Jul 27
Why Models Are AI’s Next Training Dataset with Damian Borth - #772
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 ... Show More
47 m
Recommended Episodes
Apr 2023
Ep 186: Brett, Naval and more on AI & AGI
The latest on the philosophy, science and technology of AI and AGI. ChatGPT, Deep Learning, Neural Networks and Large Language Models (LLMs). What do we know? Where is it going? 
1h 33m
Dec 2023
706: AI and ML - The Pieces Explained
In this episode of Syntax, Wes and Scott talk about understanding the integration of different components in AI models, the choice between traditional models and Language Learning Models (LLM), the relevance of the Hugging Face library, demystify Llama, discuss spaces in AI, and ... Show More
33m 1s
Aug 2024
189 - LLMs and Data Science
Hilary and Roger discuss Hilary's Use R! keynote presentation, LLMs and R, and whether R (or any programming language) has a future. Also, a brief preview of Roger's JSM 2024 talk. Show notes: Support us on Patreon Roger Peng Hilary Parker List of NSSD Fellows Get the Not So Stan ... Show More
1h 7m
Feb 2025
NAN086: A Reality Check On AI for Network Operations
On today’s episode, we get a reality check on all the hype surrounding AI with guest Phil Gervasi. Phil provides background on Large Language Models (LLMs) and their applications, as well as the current state of AI technology. We also delve into practical use cases for AI in netw ... Show More
53m 24s
Feb 2025
Industry Roundup #3: The Rise of Reasoning LLMs, OpenAI Operator, Project Stargate, and Gemini’s Struggle for Recognition
Welcome to DataFramed Industry Roundups! In this series of episodes, Adel & Richie sit down to discuss the latest and greatest in data & AI. In this episode, we discuss the rise of reasoning LLMs like DeepSeek R1 and the competition shaping the AI space, OpenAI’s Operator and the ... Show More
29m 46s
Nov 2024
Agentic AI: Behind the 2025 Top Tech Trend
In this latest episode of Gartner ThinkCast, we chat with Gartner Senior Director Analyst Tom Coshow to explore agentic AI, one of the key trends featured in the Gartner Top 10 Strategic Technology Trends for 2025 report. Hear how AI agents are transforming industries with their ... Show More
17m 36s
Jul 2017
067: Latest Developments in the Field of AI and How it is Changing the World
In this episode of the SuperDataScience Podcast, I chat with Vice President of Research at Sentient AI, Risto Miikkulainen. You will hear about the applications of AI across multiple fields, learn about the 2 types of AI - the Evolutionary Algorithms and Reinforcement Learning Al ... Show More
38m 57s
Dec 2023
Episode 177 - Looking Back at 2023
<p>Allen Firstenberg and Mark Tucker, hosts of Two Voice Devs, reflect on the year 2023, discussing significant changes and trends in the #VoiceFirst and #GenerativeAI industry and where their predictions from last year were accurate... or fell short. They discuss the transformat ... Show More
21m 36s
Oct 2025
Columbia CS Professor: Why LLMs Can’t Discover New Science
<p>From GPT-1 to GPT-5, LLMs have made tremendous progress in modeling human language. But can they go beyond that to make new discoveries and move the needle on scientific progress?</p><p>We sat down with distinguished Columbia CS professor Vishal Misra to discuss this, plus why ... Show More
50m 54s