Research & Papers

Position: Multi-Agent Systems Should Prioritize Concurrency Control

A new arXiv research paper argues that multi-agent AI systems must adopt concurrency control to fix race conditions and state corruption.

Editorial Team · 2d ago · 7 min read

Research & Papers

Large Language Models in Mental Health: A Systematic Review of Applications, Innovations, and Ethical Challenges

An arXiv systematic review evaluates the potential and ethical pitfalls of using generative AI and LLMs across mental health applications.

2d ago · 8 min read

Research & Papers

FinSkillBench: Evaluating AI Agents and Domain Skills for Investment Management

FinSkillBench provides a novel benchmark to measure AI agent capabilities across investment management, valuation modeling, and financial workflows.

2d ago · 8 min read

Research & Papers

Runtime Governance for Agentic AI: Action-Boundary Control with Trusted Provenance and Fail-Closed Execution

Researchers introduce a robust runtime governance framework to prevent runaway autonomous AI actions in enterprise environments.

4d ago · 8 min read

More from this desk

Research & Papers

GxP-Agent: Process-DAG Topology for Reliable Clinical Trial Programming with LLM Agents

GxP-Agent uses a Process-DAG topology to bring regulatory-grade reliability to LLM-powered clinical trial programming.

Editorial Team4d ago · 2 min read

Research & Papers

Google DeepMind Researchers Develop AI to Better Predict Hurricane Paths and Intensity

New research from Google DeepMind introduces AI weather forecasting models capable of predicting tropical storm paths and strength.

Editorial Team5d ago · 2 min read

Research & Papers

AI Judges Are Rubber-Stamping Broken Agents — Researchers Just Cut the False Pass Rate in Half

Researchers from Trinity College Dublin, UCD, and DCU introduce RubricForge, a system that cuts the rate of falsely passing broken AI agents nearly in half — by teaching judges to care about outcomes, not fluency.

Editorial Team6d ago · 6 min read

Research & Papers

Scientists Tested 46 AI Tasks Across Four Cognitive Domains — LLMs Secretly Organize Their "Brain" Just Like Humans Do

A new study from MIT and Harvard finds that large language models independently develop the same modular cognitive architecture as the human brain — suggesting modularity may be a fundamental property of all intelligent systems, not a biological accident.

Editorial Team6d ago · 5 min read

Research & Papers

A Year of Real LLM Traffic Just Got Studied — Here's What Actually Happens When Millions of Users Hit AI Models in Production

Researchers analyzed a full year of live LLM serving traffic from Chutes, revealing how workloads evolve, how users actually interact with models, and why most benchmarks are missing the point.

Editorial Team6d ago · 5 min read