Search:
Match:
5 results
business#ai📝 BlogAnalyzed: Jan 19, 2026 08:30

D2 Tech Conference Celebrates 20 Years, Eyes AI's Future!

Published:Jan 19, 2026 16:12
1 min read
InfoQ中国

Analysis

InfoQ China announces the 20th D2 Technology Conference, signaling a significant milestone in the tech world! The conference is actively seeking global submissions for its 'AI New' theme, promising a deep dive into the exciting developments shaping the future of artificial intelligence.
Reference

Click to view the original article>

research#deep learning📝 BlogAnalyzed: Jan 19, 2026 03:32

Deep Learning Enthusiast Seeks Community Support!

Published:Jan 19, 2026 03:17
1 min read
r/deeplearning

Analysis

This post highlights the collaborative spirit within the deep learning community! It's a testament to the power of shared knowledge and the willingness of individuals to assist each other in exciting research endeavors. Seeing this kind of peer support is incredibly encouraging for the future of AI.

Key Takeaways

Reference

Lost all progress for an assignment due on 20th January 2026 at and I can't remember exactly what I'm doing anymore since I did it awhile back.

Analysis

This announcement from ArXiv AI details the proceedings of the KICSS 2025 conference, a multidisciplinary forum focusing on the intersection of artificial intelligence, knowledge engineering, human-computer interaction, and creativity support systems. The conference, held in Nagaoka, Japan, features peer-reviewed papers, some of which are recommended for further publication in IEICE Transactions. The announcement highlights the conference's commitment to rigorous review processes, ensuring the quality and relevance of the presented research. It's a valuable resource for researchers and practitioners in these fields, offering insights into the latest advancements and trends. The collaboration with IEICE further enhances the credibility and reach of the conference proceedings.
Reference

The conference, organized in cooperation with the IEICE Proceedings Series, provides a multidisciplinary forum for researchers in artificial intelligence, knowledge engineering, human-computer interaction, and creativity support systems.

Jennifer Burns on Milton Friedman, Ayn Rand, and the Evolution of Economic Ideas

Published:Jan 19, 2025 19:56
1 min read
Lex Fridman Podcast

Analysis

This article summarizes a podcast episode featuring Jennifer Burns, a historian specializing in the evolution of economic, political, and social ideas in 20th-century America. The episode likely delves into the works of Milton Friedman and Ayn Rand, as Burns has written biographies on both figures. The provided links offer access to the episode transcript, Burns's website and social media, and links to her books. The article also includes links to the podcast's various platforms and sponsor information. The focus is on intellectual history and the discussion of key figures in economic thought.
Reference

Jennifer Burns is a historian of ideas, focusing on the evolution of economic, political, and social ideas in the United States in the 20th century.

Research#llm📝 BlogAnalyzed: Dec 29, 2025 08:18

Building a Recommender System from Scratch at 20th Century Fox with JJ Espinoza - TWiML Talk #220

Published:Jan 14, 2019 20:15
1 min read
Practical AI

Analysis

This article discusses a podcast episode featuring JJ Espinoza, former Director of Data Science at 20th Century Fox. The core focus is on the development and deployment of a content recommendation system. The conversation delves into the specifics of the system's design, highlighting two key components: one that analyzes movie scripts to suggest potential film projects, and another that processes trailers to personalize user recommendations. The article provides a glimpse into the practical application of data science in the entertainment industry, specifically focusing on how AI is used to inform content creation and distribution strategies.

Key Takeaways

Reference

In this talk we dig into JJ and his team’s experience building and deploying a content recommendation system from the ground up.