
「論文らじお」は、複雑で専門的な学術論文の世界を一般の方々にもわかりやすく解説するポッドキャストです。毎回、さまざまな分野の最新かつ影響力のある研究論文を取り上げ、その核心部分をかみ砕いて説明します。AIから医学、気候科学、心理学、テクノロジーまで、知的好奇心を刺激する幅広いトピックをカバーします。 専門家へのインタビューや、研究がもたらす実社会への影響についての議論を通じて、リスナーは学術の最前線に立ち会うことができます。難解な概念も、日常生活との関連性を示しながら解説することで、どなたでも楽しみながら学べる内容となっています。
| Publishes | Daily | Episodes | 43 | Founded | 9 months ago |
|---|---|---|---|---|---|
| Category | Science | ||||

📄 本日の論文
タイトル:The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
著者:Yutaro Yamada, Robert Tjarko Lange, Cong Lu, Shengran Hu, Chris Lu, Jakob Foerster, Jeff Clune, David Ha
公開:2025年4月10日(arXiv プレプリント)
分... more
📄 本日の論文
タイトル:Robin: A multi-agent system for automating scientific discovery
著者:Ali Essam Ghareeb, Benjamin Chang, Ludovico Mitchener, Angela Yiu, Caralyn J. Szostkiewicz, Jon M. Laurent, Muhammed T. Razzak, Andrew D. White, Michaela M. Hinks, Sam... more
📄 本日の論文
タイトル:AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenge
著者:Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee
公開:2025年5月15日(arXiv プレプリント、最新版は2025年5月20日)
分野:Computer Science - Artificial Intelligence
論文リンク... more
📄 本日の論文
タイトル:Large Language Model Agent: A Survey on Methodology, Applications and Challenges
著者:Junyu Luo, Weizhi Zhang, Ye Yuan, Yusheng Zhao, Junwei Yang, Yiyang Gu, Bohan Wu, Binqi Chen, Ziyue Qiao, Qingqing Long, Rongcheng Tu, Xiao Luo, Wei J... more
People also subscribe to these shows.

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #153 |
Listeners, social reach, demographics and more for this podcast.
| Gender Skew | Location | Interests | |||
|---|---|---|---|---|---|
| Professions | Age Range | Household Income | |||
| Social Media Reach | |||||
Rephonic provides a wide range of podcast stats for 論文らじお. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to 論文らじお and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for 論文らじお, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.
Rephonic provides comprehensive predictive audience data for 論文らじお, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
To see how many followers or subscribers 論文らじお has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
These podcasts share a similar audience with 論文らじお:
論文らじお launched 9 months ago and published 43 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Rephonic pulls ratings and reviews for 論文らじお from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
Rephonic provides full transcripts for episodes of 論文らじお. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.