newsResearchers have introduced the Auton Agentic AI Framework, a new architecture designed to bridge the gap between stochastic LLM outputs and deterministic backend systems required for autonomous AI agents. The framework separates cognitive blueprints from runtime engines, enabling cross-platform portability and formal auditability while incorporating advanced safety mechanisms and memory systems.
Researchers have developed Radiologist Copilot, an AI agentic framework that orchestrates specialized tools to complete the entire radiology reporting workflow beyond simple report generation. The system integrates image localization, interpretation, template selection, report composition, and quality control to support radiologists throughout the comprehensive reporting process.
DeepEyesV2 is a new agentic multimodal AI model that combines text and image comprehension with external tool integration like code execution and web search. The research introduces a two-stage training pipeline and RealX-Bench evaluation framework, demonstrating improved real-world reasoning capabilities through adaptive tool invocation.