A lack of guardrails leaves AI chatbots open to manipulation, researchers said. Like many social media influencers, Samantha Ettus spends most of her time publishing ...
Abstract: With the proliferation of edge computing, efficient AI inference on edge devices has become essential for intelligent applications such as autonomous vehicles and VR/AR. In this context, we ...
CISA has mandated immediate mitigation for federal agencies, while analysts urge enterprises to accelerate cloud migration and implement live threat detection. Attackers are exploiting a previously ...
Federal cybersecurity officials have issued a warning to Microsoft users about a security flaw allowing hackers to access to certain SharePoint systems. The U.S. Cybersecurity and Infrastructure ...
An Apple account serves as the cornerstone of your experience within Apple’s ecosystem, granting access to services like iCloud, the App Store, Apple Music, and Apple Vision Pro. Whether you’re ...
The Department for Science, Innovation and Technology (DSIT) has announced that the government is building a digital platform for public sector technology buying. Dubbed the National Digital Exchange, ...
What if you could transform vast amounts of unstructured text into a living, breathing map of knowledge—one that not only organizes information but reveals hidden connections you never knew existed?
Wikidata has built the semantic web backbone supporting knowledge cards in popular engines. Now, it's extending this foundation using a vector database to enhance its existing knowledge graph and ...
The U.S. Air Force and Department of Defense have selected a team collaboration including power generation equipment firm GE Vernova and the University of Utah to explore ways to tap geothermal for ...
Retrieval-augmented generation (RAG) enhances the output of Large Language Models (LLMs) using external knowledge bases. These systems work by retrieving relevant information linked to the input and ...
In this paper, we propose Knowledge Base augmented Language Model (KBLaM), a new method for augmenting Large Language Models (LLMs) with external knowledge. KBLaM works with a knowledge base (KB) ...