In 1984, Sara Jane Parsons' life imploded after she was paralyzed from the shoulders down in a car accident. After practicing ...
In 2025, Language AI crossed an important threshold in real-world use. These ten Language AI use cases capture key instances ...
Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...
Know how cybercriminals use LLMs to target crypto users. Learn about AI-generated phishing, fake smart contracts, and how to ...
Culmination of over 100 industry leaders' input and extensive published resources to deliver critical guidance to address Agentic AI Security risks WILMINGTON, Del., Dec. 10, 2025 /PRNewswire/ -- The ...
Abstract: The large volume of data associated with virtual reality (VR) video presents significant challenges for wireless transmission. This letter proposes an efficient transmission system for VR ...
Responsible Use & AI Safety Research: This tool is designed for AI safety research, red-teaming, and studying model behavior. It enables researchers to understand and analyze how language models can ...
Abstract: Short A short packet transmission scheme, such as Sparse Vector Coding (SVC), is a primary candidate for achieving ultra-low latency and high-reliability communication (URLLC). This paper ...
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