A Deterministic Classification Core with an Agentic Interpretation Layer: An Architecture for Auditable, Human-Gated Clinical Variant Analysis

AI-CURA: An LLM-based workflow achieves expert-level accuracy in genetic variant classification

This article presents a scientific study where researchers developed AI-CURA, an automated workflow using large language models (LLMs) — spe

Critique of the Agent Model: Distinguishing Automation from Genuine Agency in AI Systems

This paper critiques the current AI agent landscape, distinguishing between mere automation and genuine agency. Drawing on Descartes' philos

Critique of the Agent Model: Distinguishing Automation from Genuine Agency in AI Systems

This paper critiques the current AI agent landscape, distinguishing between mere automation and genuine agency. Drawing on Descartes' philos

Scaling Agentic AI with Governance at the Core

Autodata: Using AI agents as data scientists to generate high-quality synthetic training data

This paper introduces Autodata, a method that uses AI agents as data scientists to create high-quality synthetic training and evaluation dat

Autodata: Using AI agents as data scientists to generate high-quality synthetic training data

This paper introduces Autodata, a method that uses AI agents as data scientists to create high-quality synthetic training and evaluation dat

What is Agentic AI?

Technical Report: Using Predicate API as Verification Layer for Reliable AI Web Automation

The article presents a technical report demonstrating how Predicate API serves as a verification layer for AI web automation. It shows four