Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

Zenflow Work is an expansion of its AI orchestration platform designed to accelerate “everything around the code” today, so ...

Dalia's conversational UX and a multi-agent intelligence framework enable customers to operationalize AI across ...

Meta positions Muse Spark as an early step toward personalized AI systems that can understand context and assist with tasks ...

Abstract: With the rapid integration of the Internet of Things (IoT) and fifth-generation mobile communications (5G), the massive real-time computing demands generated on the terminal side have ...

When you hand off a task to Copilot Cowork, instead of replying to your prompt, it converts it into a structured plan and starts working on it in the background. In the next step, it creates some ...

Abstract: Parallel execution and conditional execution are increasingly prevalent in modern embedded systems. In real-time scheduling, a fundamental problem is how to upper-bound the response times of ...

APEX solves this. It takes any product goal, breaks it into tasks, scores each one from 1–9,750 with a transparent formula, and generates a Cursor-ready implementation plan for the #1 priority. ⚡ APEX ...

According to OpenAIDevs on X, subagents are now supported in Codex, enabling developers to spin up specialized agents to keep the main context window clean, tackle parts of a task in parallel, and ...