Tag: Graph Neural Networks

  • Cloud Blog: Google’s AI-powered next-generation global network: Built for the Gemini era

    Source URL: https://cloud.google.com/blog/products/networking/google-global-network-principles-and-innovations/ Source: Cloud Blog Title: Google’s AI-powered next-generation global network: Built for the Gemini era Feedly Summary: From answering search queries, to streaming YouTube videos, to handling the most demanding cloud workloads, for over 25 years, we’ve been relentlessly pushing the boundaries of network technology, building a global infrastructure that powers Google and…

  • Unit 42: One Step Ahead in Cyber Hide-and-Seek: Automating Malicious Infrastructure Discovery With Graph Neural Networks

    Source URL: https://unit42.paloaltonetworks.com/graph-neural-networks/ Source: Unit 42 Title: One Step Ahead in Cyber Hide-and-Seek: Automating Malicious Infrastructure Discovery With Graph Neural Networks Feedly Summary: Graph neural networks aid in analyzing domains linked to known attack indicators, effectively uncovering new malicious domains and cybercrime campaigns. The post One Step Ahead in Cyber Hide-and-Seek: Automating Malicious Infrastructure Discovery…

  • Slashdot: AI Boosts Materials Discovery By 44% at Major US Lab

    Source URL: https://slashdot.org/story/24/12/09/159202/ai-boosts-materials-discovery-by-44-at-major-us-lab?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Boosts Materials Discovery By 44% at Major US Lab Feedly Summary: AI Summary and Description: Yes Summary: A study highlights that AI-powered teams at a major U.S. materials company achieved significant innovations in material discovery and patent filings compared to traditional methods. However, it also raises concerns about…

  • Hacker News: Graph Language Models

    Source URL: https://aclanthology.org/2024.acl-long.245 Source: Hacker News Title: Graph Language Models Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the development of Graph Language Models (GLMs), which combine the capabilities of traditional Language Models (LMs) and Graph Neural Networks (GNNs) to enhance understanding and processing of knowledge graphs alongside text inputs. This…