Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving ...
Recent report reveals that the most efficient governments are those that design their digital systems in line with democratic ...
Marketing hype is calling everything an agent, but mislabeling automations or souped-up chatbots as agents is a governance ...
Whether you're a scientist brainstorming research ideas or a CEO hoping to automate a task in human resources or finance, you'll find that artificial intelligence (AI) tools are becoming the ...
Palantir Technologies Inc. revealed Chain Reaction, an operating system for U.S. AI infrastructure designed to accelerate the AI buildout with energy producers, power distributors, data centers and ...
AI is one of the fastest-growing technologies in the history of modern business, with the ability to revolutionize industries, optimize operations, and drive innovation, but it is also introducing ...
As hospitals across the country face rising labor shortages, strained budgets, and increasing patient volumes, healthcare leaders are looking beyond traditional staffing models for relief. The ...
EverMemOS's core design stems from an insight shared by entrepreneur and philanthropist Chen Tianqiao at the Tianqiao and Chrissy Chen Institute's Symposium for AI Accelerated Science (AIAS 2025) in ...
Scaling enterprise and agentic AI will rely heavily on industry players agreeing on standards. From model context protocol (MCP) to Agent 2 Agent (A2A) and beyond, interoperability protocols give ...
AUSTIN, Texas, Dec. 09, 2025 (GLOBE NEWSWIRE) -- Today, Coder introduced new capabilities that bring AI coding agents into secure, self-hosted workspaces, enabling enterprises to adopt AI safely at ...
Federal immigration agents deployed tear gas and pepper spray Saturday on a crowd that gathered to protest a prolonged arrest in a northwest Chicago suburb, angering neighbors who said it was ...
Currently, the project has 0% test coverage. As the codebase has grown to ~12,750 lines of code across 107 Python files, I'd like to propose adding a systematic testing infrastructure to improve code ...