Abstract: Mental stress is a common condition that poses serious health risks, but proper management can greatly improve quality of life. We propose a robust multimodal framework for perceived stress ...
Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...
As media companies expand the use of AI to drive efficiency, many are seeking best practices to ensure AI is implemented responsibly and with minimal risk. A recent IAB study found that only one-third ...
This framework provides a complete testing solution for modern web applications, combining the power of Playwright with Cucumber BDD, enhanced with enterprise-grade features including Visual ...
Abstract: This brief presents an edge-AIoT speech recognition system, which is based on a new spiking feature extraction (SFE) method and a PoolFormer (PF) neural network optimized for implementation ...
Forbes contributors publish independent expert analyses and insights. Rachel Wells is a writer who covers leadership, AI, and upskilling. If you’re like many managers, you treat your 1:1s with your ...
A state appeals court judge has created what is likely the first public framework for AI use in judicial chambers. It provides guidelines and sample prompts to help courts manage AI-generated evidence ...
Department of Electronics Communication Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India Introduction: Early and accurate detection of crop stress is vital for ...
The Government Accountability Office has developed a framework that can help the Department of Veterans Affairs, along with other agencies, ensure responsibility and accountability when designing, ...
If you’ve ever tried to build a agentic RAG system that actually works well, you know the pain. You feed it some documents, cross your fingers, and hope it doesn’t hallucinate when someone asks it a ...