🌍 Can AI make tourism more sustainable? @ashmi_banerjee from @TU_Muenchen talks using recommender systems to promote responsible travel. Learn how LLMs make synthetic tourism data & how algorithms can balance traveler satisfaction with enviro impact. 🎯

@Vida19231939

🚀 The cold start problem is REAL! @Vida19231939 breaks down how hybrid recommender systems combine collaborative filtering + embeddings + bandit learning to make great recommendations for brand new users 🎧️ Listen👇 #MachineLearning #RecommenderSystems #DataScience #AI

🎙️ Check out Kyle's recent interview with @center4inquiry! He dives into AI, skepticism, and how technology intersects with critical thinking—covering everything from recommendation systems to the future of AI development. 🤖🔍

🏡 How do you find the next hot neighborhood? Graph neural networks may be the answer. @kunmukh from @Virginia_Tech talks about Z-REx, a GNN approach that recommends real estate regions and explains why—crucial for transparency in property search. 🎯

https://t.co/PitgVMUJ9y

🏛️ How do you build recommender systems for medieval manuscripts? @f_atzenhofer from @TUGraz1827 shares how they're using multi-modal AI to make Europe's largest charter collection discoverable for historians & researchers! 🎧Link in thread

We're talking animal cognition with @cthemingway12 Dive into decision-making in bats and bumblebees & the impact of climate change on behavior. #Podcast #AnimalCognition Don't miss out on these insights! #DataSkeptic https://t.co/VIc5BFyU73

Kyle and co-host @grlwdarwintat discuss how players perform cognitive tasks, centering on research that studies how chess players perceive the positions of chess pieces on a chess board. Listen to learn the various approaches to studying chess cognition. https://t.co/7XnzJarX4i

Now streaming: OpenWorm interview on the @DataSkeptic podcast

Kyle and Stephen Larson, CEO of MetaCell & affiliate of the OpenWorm foundation discuss the @OpenWorm project and the use of digital C. elegans nematode to study the basics of life. https://t.co/nOo80qYq9e

We welcome @grlwdarwintat to the team for our new season, "Animal Intelligence," where we discuss how the intelligence of different animals is studied scientifically. Our premiere episode talks about the learning behavior of antlions. Listen: https://t.co/kaL7EyCaNJ

@DataSkeptic Just wanted to tell you how much I loved the latest episode ("I LLM and You Can Too"). I learned: why I should look at BERT in the age of LLMs, what RAG is all about, and mundane classification tasks to now tackle with LLM APIs. Thank you!

Our guest, Eric Boyd, Corp VP of AI at @Microsoft discusses how individuals and companies can level LLMs to build AI-driven products seamlessly. He shared techniques and tools that enable users to quickly develop, test, and deploy products in @azure AI. https://t.co/eNHFQ7Np10

PhD students at the Language Technology Institute at Carnegie Mellon University, Aman Madaan and Shuyan Zhou join us to discuss their latest published paper, PAL: Program-aided Language Models. @shuyanzhxyc @aman_madaan https://t.co/pjZIRimqck

Software engineer at Lifeware SA, Alessio Buscemi, discusses his recent paper, " https://t.co/mPtdqFP9On". He spoke on whether ChatGPT is a threat to software engineers & how LLMs can help software engineers become more efficient. https://t.co/gNiKJGvTPR

We are joined by Jianan Zhao, a Computer Science student at Mila and the University of Montreal. His research focus is on graph databases and natural language processing. He joins us to discuss how to use graphs with LLMs efficiently. @AndyJiananZhao https://t.co/fjzqfD5YZX

Aaron Reich, CTO at @Avanade, & @fuzzymind1 , the AI/IoT Lead, discuss how they actively use LLMs to improve companies' productivity and strategy management, sharing practical examples of how LLM-driven technologies are deployed & their responsible use. https://t.co/5xjmgFomtN

We are joined by @rajivmovva , a CS PhD student at Cornell Tech. His research interest lies in the intersection of responsible AI & computational social science. He joins to discuss the findings of this work that analyzed LLM publication patterns. https://t.co/d7arTmXvFy

Imbue's CTO, Josh Albrecht joins us to share findings of his work; Despite "super-human" performance, current LLMs are unsuited for decisions about ethics and safety. https://t.co/yJh8Uyr8xp @imbue_ai @joshalbrecht