AI news archive.
4,965 articles filed under Agents, newest first, from the outlets listed on the sources page.
- arXiv cs.AIagentsOOM-RL: Out-of-Money Reinforcement Learning Market-Driven Alignment for LLM-Based Multi-Agent Systems
arXiv:2604.11477v2 Announce Type: replace Abstract: The alignment of Multi-Agent Systems (MAS) for autonomous software engineering is constrained by evaluator epistemic uncertainty. Current paradigms, such as Reinforceme…
- arXiv cs.AIagentsTowards Shutdownable Agents: Generalizing Stochastic Choice in RL Agents and LLMs
arXiv:2604.17502v5 Announce Type: replace Abstract: Misaligned artificial agents might resist shutdown. One proposed solution is to train agents to lack preferences between different-length trajectories. The Discounted R…
- arXiv cs.AIagentsBeyond Cooperative Simulators: Generating Realistic User Personas for Robust Evaluation of LLM Agents
arXiv:2605.12894v3 Announce Type: replace Abstract: Large Language Model (LLM) agents are increasingly deployed in settings where they interact with diverse users, including those who are unclear, impatient, or reluctant…
- arXiv cs.AIagentsAgentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design
arXiv:2605.15871v2 Announce Type: replace Abstract: Toward recursive self-improvement, we investigate LLM agents autonomously designing foundation models beyond standard Transformers. We introduce a dual-framework approa…
- arXiv cs.AIagentsInsights Generator: Systematic Corpus-Level Trace Diagnostics for LLM Agents
arXiv:2605.21347v4 Announce Type: replace Abstract: Diagnosing failures in LLM agents remains largely manual. Practitioners inspect a small subset of execution traces, form ad-hoc hypotheses, and iterate. This process mi…
- arXiv cs.AIagentsInformation Gain-based Rollout Policy Optimization: An Adaptive Tree-Structured Rollout Approach for Multi-Turn Search Agents
arXiv:2607.06223v2 Announce Type: replace Abstract: Reinforcement learning (RL) improves large language model (LLM) agents on long-horizon search tasks that require multiple intermediate decisions before a final outcome.…
- arXiv cs.AIagentsCan Agentic Trading Systems Pay for Their Own Intelligence?
arXiv:2607.10286v3 Announce Type: replace Abstract: Large language model (LLM) agents are increasingly used in trading systems, where model reasoning, tool use, and continual decisions incur costs that are expected to pr…
- arXiv cs.AIagentsRegNetAgents: A Multi-Agent Framework for Cross-Network Regulatory Driver Identification in Cancer Genomics
arXiv:2607.14097v3 Announce Type: replace Abstract: We introduce RegNetAgents, an AI-oriented multi-agent framework for structured, query-driven regulatory candidate identification across heterogeneous gene regulatory ne…
- arXiv cs.AIagentsSKT: Skill-Use Training at Scale via Verified Synthetic Data Generation
arXiv:2608.02287v2 Announce Type: replace Abstract: Agent skills have become an important mechanism for equipping language-model agents with reusable procedural knowledge. However, providing skills alone does not guarant…
- arXiv cs.AIagentsPractice Makes Unsafe: Skill Misevolution in Self-Improving LLM Agents
arXiv:2608.12851v2 Announce Type: replace Abstract: LLM agents increasingly save experience from past tasks as reusable skills through skill evolution. When an agent completes an unsafe task, skill evolution can keep the…
- arXiv cs.AIagentsChronocooked: A Benchmark for Interval Timing in Reinforcement Learning Agents
arXiv:2608.16666v2 Announce Type: replace Abstract: Interval timing is extensively studied as an important aspect of human behaviour. As artificial agents are increasingly designed to function alongside humans, their int…
- arXiv cs.AIagentsEDGE: Engine for Deterministic Graph Evaluation through Conversation Simulation from Graph Structured DSL Configuration
arXiv:2608.29971v2 Announce Type: replace Abstract: As agentic systems evolve into complex multi agent orchestration workflows, there is a growing and critical need for systematic frameworks that measures an agent's beha…
- arXiv cs.AIagentsHalluPeer: A Taxonomy-driven Benchmark for Detecting Hallucinations in Scientific Peer Reviews
arXiv:2609.03580v2 Announce Type: replace Abstract: The growing scale of academic peer review has motivated the use of Large Language Models (LLMs) as review assistants, yet LLMs can generate fluent but unsupported claim…
- arXiv cs.AIagentsGenerative AI for Autonomous Driving: Frontiers and Opportunities
arXiv:2505.08854v2 Announce Type: replace-cross Abstract: Generative Artificial Intelligence (GenAI) constitutes a transformative technological wave that reconfigures industries through its unparalleled capabilities for…
- arXiv cs.AIagentsA Clinical Point Cloud Paradigm for In-Hospital Mortality Prediction from Multi-Level Incomplete Multimodal EHRs
arXiv:2604.04614v3 Announce Type: replace-cross Abstract: Deep learning-based modeling of multimodal Electronic Health Records (EHRs) has become an important approach for clinical diagnosis and risk prediction. However,…
- arXiv cs.AIagentsA Relative-Computability Theory of Self-Improving Agents
arXiv:2605.27381v4 Announce Type: replace-cross Abstract: Self-improving agents can acquire a procedure without knowing when its supporting teacher can safely be removed. We extend an oracle-relative model of evolving ag…
- arXiv cs.AIagentsWRIT: Write-Read Intensive Trajectory Synthesis for Multi-Turn User-Facing Agents
arXiv:2606.02908v2 Announce Type: replace-cross Abstract: Multi-turn user-facing agents must infer user intent from incomplete requests, collect missing information through dialogue and tools, and execute valid actions.…
- arXiv cs.AIagentsCross-Agent Learning Signals Enable Coordinated Role-Decomposed LLM Training
arXiv:2606.10684v2 Announce Type: replace-cross Abstract: Agentic search systems must coordinate evidence acquisition and response generation, yet existing approaches either couple both roles under a single agent objecti…
- arXiv cs.AIagentsHidden in Plain Sight: Benchmarking Agent Safety Against Decomposition Attacks with DECOMPBENCH
arXiv:2606.13994v2 Announce Type: replace-cross Abstract: LLM-based Agents are becoming increasingly capable and widely deployed, creating growing incentives for adversarial misuse in the real-world. A key emerging threa…
- arXiv cs.AIagentsAn Autonomous AI Security Agent for Banking: Multi-Vector Fraud and AML Detection Across Retail and Corporate Accounts
arXiv:2606.17555v4 Announce Type: replace-cross Abstract: Banks face two threat families with fundamentally different detection requirements: signature-based fraud (card-not-present attacks, account takeover, ATM cloning…
- arXiv cs.AIagentsED3R: Energy-Aware Distributed Disaster Detection via Cooperative Agents in Robotic Systems
arXiv:2606.17739v2 Announce Type: replace-cross Abstract: Robotics are expected to support environmental monitoring and disaster detection, where decisions must be made under uncertainty, resource limitations, and strict…
- arXiv cs.AIagentsVIA: Visual Interface Agent for Robot Control
arXiv:2607.11119v2 Announce Type: replace-cross Abstract: Robot manipulation is a complex task that requires visual perception, physical reasoning, planning, and closed-loop control. General-purpose foundation models (FM…
- arXiv cs.AIagentsSWE-NFI: Studying and Benchmarking Coding Agents for Non-Functional Improvements
arXiv:2607.27409v2 Announce Type: replace-cross Abstract: Although coding agents have achieved impressive performance on correctness-oriented benchmarks, their ability to make behavior-preserving non-functional improveme…
- arXiv cs.AIagentsForward-Deployed Full-Stack Engineering for Autonomous Cloud MLOps
arXiv:2608.29615v2 Announce Type: replace-cross Abstract: Across industries, machine-learning systems support applications ranging from prediction and anomaly detection to forecasting, optimization, and scheduling, yet o…
- arXiv cs.AIagentsLoop-Back Authority in LLM Agent Teams: A Paired Experiment on Flat and Hierarchical Coordination
arXiv:2609.14767v2 Announce Type: replace-cross Abstract: Does authority in AI teams improve the outcome? Organizational theory asserts that authority facilitates decision making, improving quality. Meanwhile, some nasce…
- The Register AI + MLagentsMicrosoft is about to let Copilot loose on your file system
But don't worry, it's totally safe because the agents and models will (probably) be running locally. Routers never break right?
- The Register AI + MLagentsOpenAI dots inspire open source imitators amid technical difficulties
Persistent agents appeal to AI companies, but demand isn't obvious
- SiliconANGLE AIagentsCisco broadens agentic features in Webex collaboration platform
Cisco Systems Inc. today detailed a broad expansion of its Webex collaboration portfolio that brings artificial intelligence agents into team conversations, connects office technology with workplace management and enable…
- SiliconANGLE AIagentsAston Martin puts back-end AI to work while keeping agents off its website
Back-end AI gives manufacturers opportunities to improve operations, but choosing where to apply it requires attention to business value. For Aston Martin Lagonda Ltd., that means evaluating operational use cases while p…
- SiliconANGLE AIagentsMidwest Wheel builds toward AI agents that fix problems
Agentic AI governance helps midsized distributors decide which tasks software agents can handle and which require human oversight. For lean IT teams, automating more work also means checking the data and rules behind tho…
- NVIDIA BlogagentsNVIDIA, Microsoft Kick Off a New Beginning for Windows PCs With RTX Spark and AI Agents
At a Microsoft event in San Francisco on Wednesday, NVIDIA founder and CEO Jensen Huang and Microsoft CEO Satya Nadella outlined how NVIDIA and Microsoft are co-engineering hardware and software for AI agents to run on W…
- TechCrunch AIagentsMeta’s Muse launches on iPad just a month after its mobile debut
Meta’s AI agent Muse is now available on iPad, just a month after its mobile debut, as the company rapidly expands the assistant’s reach and integrations.
- SiliconANGLE AIagentsThree insights you might have missed from theCUBE’s coverage of ‘The AI ROI in Contact Center Summit’
Artificial intelligence is helping to change what success looks like for customer service teams, with less focus on call speed and deflection and greater emphasis on resolving customer issues. That shift is changing how…
- SiliconANGLE AIagentsInfor uses industry-specific AI to address agent hallucinations
Industry-specific AI brings business context to agents handling enterprise workflows. Building around industry processes can help companies address reliability concerns as they automate more tasks. Infor (US) LLC is deve…
- The Verge AIagentsMicrosoft is giving Copilot more control over Windows and your files
At today's Windows and Surface event, Microsoft showed off an upgrade to its Copilot AI system that will give it access to local files on your PC and the ability to take actions across the OS. It's part of an idea Micros…
- AI BusinessagentsThe context factor for AI agents
Process Intelligence helps organizations provide AI agents with the right context and data needed to know how their businesses run.
- SiliconANGLE AIagentsInfor combines industry expertise and embedded engineers for process automation
AI-powered process automation requires software that understands the industry and workflows it serves. Moving from a promising prototype to practical use also requires implementation expertise. Infor (US) LLC develops so…
- Microsoft ResearchagentsAgent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it ea…
- AWS Machine Learning BlogagentsBeyond hours saved: Building the business case for agentic automation
The RPA-era ROI model misses most of the value agentic automation creates. This post gives AI center of excellence leaders a framework to size the full value of agents across time savings, exception handling, decision qu…
- AWS Machine Learning BlogagentsHow Qlik built grounded, enterprise-scale AI with Amazon Bedrock
Qlik built Qlik Answers on Amazon Bedrock to give its 40,000+ customers grounded, sourced answers across structured and unstructured enterprise data. Learn how a layered, multi-agent architecture with cross-Region infere…
- AWS Machine Learning BlogagentsAutomate remediation post AWS DevOps Agent investigation
AWS DevOps Agent can diagnose production incidents but is kept in observe-and-report mode so it does not change resources directly. This post shows how to use AWS Lambda Durable Functions, Amazon EventBridge, and Amazon…
- The Verge AIagentsMuse launches on the iPad
After launching nearly a month ago and spending several weeks as the top free app in Apple's App Store, the latest update to Meta's Muse iOS app introduces native support for the iPad. A Mac version of Meta's agentic AI…
- AWS Machine Learning BlogagentsHow Cornerstone OnDemand cut database diagnosis by 78% with Amazon Bedrock
Cornerstone OnDemand built Orion AI, a multi-agent system on Amazon Bedrock and Strands Agents, to turn database operations from reactive firefighting into proactive automation. A three-person team cut database diagnosis…
- Latent SpaceagentsCan a Cloud-Native Harness Make Agents Reliable Beyond the Desktop?
Kubernetes co-creators Craig McLuckie and Joe Beda aim to bring agent harnesses fully into the cloud.
- SiliconANGLE AIagentsKore.ai launches Autoloop to keep tuning enterprise AI agents after they go live
Enterprise artificial intelligence platform company Kore.ai Inc. today launched Autoloop, an optimization engine for the AI agents that customers build on its Kore.ai Agent Platform. Businesses set the targets, and Autol…
- WIRED AIagentsOpenAI Wants Its New Agent to Run Your Life. Mine Said It Loved Me
Dots are designed to automate online tasks, like buying furniture. In my initial experience, the always-on agent was a bit buggy and couldn’t complete a captcha.
- TechRadar AIagentsAI agents don’t create new risk. They inherit it
Mainstream AI news from a large tech publication.
- TechRadar AIagents'Working with AI isn't single player any more — it's multiplayer': Atlassian CEO Mike Cannon-Brookes lays out what your business needs in the agentic AI age, and why agents won't replace your human workers anytime soon
Mainstream AI news from a large tech publication.
- SiliconANGLE AIagentsAtlassian lays groundwork for humans and AI agents to work side by side
Atlassian Corp. today announced Agentic Multiplayer Protocol, a platform update designed to change how humans and artificial intelligence agents collaborate and get work done using shared context and tasks within the sam…
- Tom's Guide AIagentsI used Meta Muse to automate 10 tasks — here's my report card for the AI agent
Consumer AI launches, tools, and practical coverage.