AI Agents

Autonomous agents, tool use, and agentic systems

Top This Week

Ai Agents

Cloudflare just turned Browser Rendering into a lot more powerful MCP infrastructure

Browser Rendering now exposes the Chrome DevTools Protocol, which means MCP clients can access a remote browser directly. That’s a pretty...

Reddit - Artificial Intelligence · 1 min ·
Llms

Anthropic launches Claude Managed Agents — composable APIs for shipping production AI agents 10x faster. Notion, Rakuten, Asana, and Sentry already in production.

Anthropic launches Claude Managed Agents in public beta — composable APIs for shipping production AI agents 10x faster Handles sandboxing...

Reddit - Artificial Intelligence · 1 min ·
Llms

persistent memory system for AI agents — single SQLite file, no external server, no API keys. free and opensource - BrainCTL

Every agent I build forgets everything between sessions. I got tired of it and built brainctl. pip install brainctl, then: from agentmemo...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2602.14358] High Precision Audience Expansion via Extreme Classification in a Two-Sided Marketplace
Machine Learning

[2602.14358] High Precision Audience Expansion via Extreme Classification in a Two-Sided Marketplace

This paper discusses a novel approach to audience expansion in a two-sided marketplace, focusing on high precision retrieval methods for ...

arXiv - AI · 3 min ·
[2602.14299] Does Socialization Emerge in AI Agent Society? A Case Study of Moltbook
Llms

[2602.14299] Does Socialization Emerge in AI Agent Society? A Case Study of Moltbook

This article explores whether socialization occurs in AI agent societies, using Moltbook as a case study. It presents a framework for ana...

arXiv - AI · 4 min ·
[2602.14321] Offline Learning of Nash Stable Coalition Structures with Possibly Overlapping Coalitions
Machine Learning

[2602.14321] Offline Learning of Nash Stable Coalition Structures with Possibly Overlapping Coalitions

This paper presents a model for offline learning of Nash stable coalition structures, addressing the complexities of overlapping coalitio...

arXiv - AI · 4 min ·
[2602.14265] STATe-of-Thoughts: Structured Action Templates for Tree-of-Thoughts
Machine Learning

[2602.14265] STATe-of-Thoughts: Structured Action Templates for Tree-of-Thoughts

The paper presents STATe-of-Thoughts, a new method for improving output diversity and interpretability in inference-time compute methods,...

arXiv - Machine Learning · 4 min ·
[2602.14270] A Rational Analysis of the Effects of Sycophantic AI
Llms

[2602.14270] A Rational Analysis of the Effects of Sycophantic AI

This article analyzes the impact of sycophantic AI on human belief systems, revealing how overly agreeable AI can distort reality and inf...

arXiv - AI · 3 min ·
[2602.14244] Federated Ensemble Learning with Progressive Model Personalization
Machine Learning

[2602.14244] Federated Ensemble Learning with Progressive Model Personalization

This paper presents a novel framework for Federated Ensemble Learning that enhances model personalization while addressing statistical he...

arXiv - Machine Learning · 4 min ·
[2602.14257] AD-Bench: A Real-World, Trajectory-Aware Advertising Analytics Benchmark for LLM Agents
Llms

[2602.14257] AD-Bench: A Real-World, Trajectory-Aware Advertising Analytics Benchmark for LLM Agents

The paper introduces AD-Bench, a benchmark for evaluating Large Language Model (LLM) agents in real-world advertising analytics, highligh...

arXiv - AI · 4 min ·
[2602.14239] A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction
Machine Learning

[2602.14239] A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction

The paper presents a Hybrid TGN-SEAL model aimed at improving link prediction in dynamic graphs, particularly in sparse networks, by inte...

arXiv - AI · 3 min ·
[2602.14237] AbracADDbra: Touch-Guided Object Addition by Decoupling Placement and Editing Subtasks
Machine Learning

[2602.14237] AbracADDbra: Touch-Guided Object Addition by Decoupling Placement and Editing Subtasks

The paper presents AbracADDbra, a framework that enhances object addition in computer vision by decoupling placement and editing tasks th...

arXiv - AI · 3 min ·
[2602.14172] Investigation for Relative Voice Impression Estimation
Ai Startups

[2602.14172] Investigation for Relative Voice Impression Estimation

This article explores Relative Voice Impression Estimation (RIE), focusing on how different speech modeling approaches affect listener pe...

arXiv - Machine Learning · 3 min ·
[2602.14211] SkillJect: Automating Stealthy Skill-Based Prompt Injection for Coding Agents with Trace-Driven Closed-Loop Refinement
Ai Agents

[2602.14211] SkillJect: Automating Stealthy Skill-Based Prompt Injection for Coding Agents with Trace-Driven Closed-Loop Refinement

The paper presents SkillJect, an automated framework for stealthy skill-based prompt injection in coding agents, addressing security vuln...

arXiv - AI · 4 min ·
[2602.14077] GTS: Inference-Time Scaling of Latent Reasoning with a Learnable Gaussian Thought Sampler
Machine Learning

[2602.14077] GTS: Inference-Time Scaling of Latent Reasoning with a Learnable Gaussian Thought Sampler

The paper introduces the Gaussian Thought Sampler (GTS), a novel approach to inference-time scaling in latent reasoning models, enhancing...

arXiv - Machine Learning · 3 min ·
[2602.14158] A Multi-Agent Framework for Medical AI: Leveraging Fine-Tuned GPT, LLaMA, and DeepSeek R1 for Evidence-Based and Bias-Aware Clinical Query Processing
Llms

[2602.14158] A Multi-Agent Framework for Medical AI: Leveraging Fine-Tuned GPT, LLaMA, and DeepSeek R1 for Evidence-Based and Bias-Aware Clinical Query Processing

This article presents a multi-agent framework for medical AI that enhances clinical query processing by leveraging fine-tuned language mo...

arXiv - AI · 4 min ·
[2602.14117] Toward Autonomous O-RAN: A Multi-Scale Agentic AI Framework for Real-Time Network Control and Management
Robotics

[2602.14117] Toward Autonomous O-RAN: A Multi-Scale Agentic AI Framework for Real-Time Network Control and Management

This article presents a multi-scale agentic AI framework for Open Radio Access Networks (O-RAN), enhancing real-time network control and ...

arXiv - AI · 4 min ·
[2602.14099] SemanticFeels: Semantic Labeling during In-Hand Manipulation
Robotics

[2602.14099] SemanticFeels: Semantic Labeling during In-Hand Manipulation

The paper presents SemanticFeels, a novel framework for semantic labeling during in-hand manipulation, enhancing robots' ability to class...

arXiv - AI · 3 min ·
[2602.13928] voice2mode: Phonation Mode Classification in Singing using Self-Supervised Speech Models
Llms

[2602.13928] voice2mode: Phonation Mode Classification in Singing using Self-Supervised Speech Models

The paper presents voice2mode, a method for classifying four singing phonation modes using self-supervised speech models, demonstrating s...

arXiv - Machine Learning · 3 min ·
[2602.14089] TabTracer: Monte Carlo Tree Search for Complex Table Reasoning with Large Language Models
Llms

[2602.14089] TabTracer: Monte Carlo Tree Search for Complex Table Reasoning with Large Language Models

TabTracer introduces a novel Monte Carlo Tree Search framework for enhancing table reasoning in large language models, improving accuracy...

arXiv - AI · 4 min ·
[2602.13977] WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL
Machine Learning

[2602.13977] WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL

The paper presents WoVR, a novel reinforcement learning framework that enhances the reliability of world models for Vision-Language-Actio...

arXiv - AI · 4 min ·
[2602.13971] DAIAN: Deep Adaptive Intent-Aware Network for CTR Prediction in Trigger-Induced Recommendation
Machine Learning

[2602.13971] DAIAN: Deep Adaptive Intent-Aware Network for CTR Prediction in Trigger-Induced Recommendation

The paper presents DAIAN, a Deep Adaptive Intent-Aware Network designed to enhance Click-Through Rate (CTR) prediction in Trigger-Induced...

arXiv - AI · 4 min ·
[2602.13954] Eureka-Audio: Triggering Audio Intelligence in Compact Language Models
Llms

[2602.13954] Eureka-Audio: Triggering Audio Intelligence in Compact Language Models

Eureka-Audio presents a compact audio language model that outperforms larger models in various audio understanding tasks, showcasing effi...

arXiv - AI · 4 min ·
Previous Page 136 Next

Related Topics

Stay updated with AI News

Get the latest news, tools, and insights delivered to your inbox.

Daily or weekly digest • Unsubscribe anytime