IEEE

Enhancing Resilience of Urban Distribution Networks: Integrating Agent-Based V2G Response Model for Extreme Event Restoration

Abstract: Amid power outages during extreme events, the urban distribution network (DN) endeavors to minimize power loss and facilitate restoration by leveraging emerging technologies, particularly ...
Decrypt

AI Models Scheme, Betray and Vote Each Other Out in Survivor-Style Game

A Stanford researcher built a Survivor-style game where AI models form alliances and vote rivals out. The benchmark aims to ...
CRN

IBM’s New ‘AI Operating Model’ And Agent Tech Offerings Create Partner Opportunities

At its Think 2026 event IBM debuted its AI Operating Model framework for AI agent adoption and the role sell, build and ...
decrypt

Amazon Teams With Coinbase and Stripe to Let AI Agents Pay With Stablecoins

Add Decrypt as your preferred source to see more of our stories on Google. Amazon Web Services launched AgentCore Payments with Coinbase and Stripe for AI agent transactions. The system uses ...
GitHub

StatsPAI: The Agent-Native Causal Inference & Econometrics Toolkit for Python

StatsPAI is the first agent-native Python platform for causal inference and applied econometrics. One import, 950+ registered functions across 80+ submodules (live count: python scripts/registry_stats ...
Harvard Business Review

Why the Digital Product Model Beats Project-Based Approaches

Temporary teams can build new systems, but permanent ones can both develop them and manage them after launch. by Ryan Nelson and Thomas H. Davenport In 2011, The New York Times was facing declines in ...
IEEE

Deep Learning-Based Modeling for Power Converters via Physics-Enhanced Hierarchical Neural Network

Abstract: For the temporal modeling of power converters, recent approaches are primarily based on time-series data-driven approaches, suffering from high data quality and quantity requirements.
GitHub

AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning

Developing autonomous LLM agents capable of making a series of intelligent decisioiins to solve complex, real-world tasks is a fast-evolving frontier. Merely relying on human demonstration for ...
Journal of Medical Internet Research

The Efficacy of Rule-Based Versus Large Language Model-Based Chatbots in Alleviating Symptoms of Depression and Anxiety: Systematic Review and Meta-Analysis

The efficacy differences between LLM-based and rule-based chatbots have not been systematically evaluated, with few studies directly comparing the two, and existing meta-analyses have notable ...
InfoQ

Anthropic Introduces Agent-Based Code Review for Claude Code

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...
InfoQ

Cursor 3 Introduces Agent-First Interface, Moving beyond the IDE Model

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
marktechpost

A Coding Implementation to Build Multi-Agent AI Systems with SmolAgents Using Code Execution, Tool Calling, and Dynamic Orchestration

In this tutorial, we build an advanced, production-ready agentic system using SmolAgents and demonstrate how modern, lightweight AI agents can reason, execute code, dynamically manage tools, and ...