AI Agents

AWS turns its S3 storage service into a file system for AI agents

Moody’s Integrates AI Agents With Anthropic’s Claude

Started a video series on building an orchestration layer for LLM post-training [P]

Hi everyone! Context, motivation, a lot of yapping, feel free to skip to TL;DR. A while back I posted here asking [D] What framework do y...

[2602.15082] S-PRESSO: Ultra Low Bitrate Sound Effect Compression With Diffusion Autoencoders And Offline Quantization

The paper presents S-PRESSO, a novel sound effect compression model that achieves ultra-low bitrate audio compression using diffusion aut...

[2602.15074] Structure-Aware Piano Accompaniment via Style Planning and Dataset-Aligned Pattern Retrieval

This paper presents a structure-aware method for generating piano accompaniments using a transformer model for style planning and dataset...

[2602.15738] Beyond Labels: Information-Efficient Human-in-the-Loop Learning using Ranking and Selection Queries

This article presents a novel human-in-the-loop framework for machine learning that enhances information efficiency by utilizing ranking ...

[2602.15070] An effective Genetic Programming Hyper-Heuristic for Uncertain Agile Satellite Scheduling

This paper presents a Genetic Programming Hyper-Heuristic (GPHH) designed for the Uncertain Agile Earth Observation Satellite Scheduling ...

[2602.15064] Structural Divergence Between AI-Agent and Human Social Networks in Moltbook

This article explores the structural differences between AI-agent and human social networks on the Moltbook platform, revealing unique in...

[2602.15707] Proactive Conversational Assistant for a Procedural Manual Task based on Audio and IMU

This article presents a novel real-time conversational assistant that utilizes audio and IMU data to guide users through procedural tasks...

[2602.15061] Safe-SDL:Establishing Safety Boundaries and Control Mechanisms for AI-Driven Self-Driving Laboratories

The paper presents Safe-SDL, a framework for ensuring safety in AI-driven Self-Driving Laboratories, addressing the critical 'Syntax-to-S...

[2602.15640] Latency-aware Human-in-the-Loop Reinforcement Learning for Semantic Communications

The paper presents a framework for latency-aware human-in-the-loop reinforcement learning in semantic communications, addressing the bala...

[2602.15060] CLOT: Closed-Loop Global Motion Tracking for Whole-Body Humanoid Teleoperation

The paper presents CLOT, a closed-loop system for humanoid teleoperation that addresses global pose drift, enabling stable and precise lo...

[2602.15055] Beyond Context Sharing: A Unified Agent Communication Protocol (ACP) for Secure, Federated, and Autonomous Agent-to-Agent (A2A) Orchestration

The paper introduces the Agent Communication Protocol (ACP), a framework for secure and efficient agent-to-agent orchestration, addressin...

[2602.15042] Combining scEEG and PPG for reliable sleep staging using lightweight wearables

This article explores the fusion of single-channel EEG (scEEG) and photoplethysmography (PPG) for improved sleep staging in lightweight w...

[2602.15038] Indic-TunedLens: Interpreting Multilingual Models in Indian Languages

The paper introduces Indic-TunedLens, an interpretability framework designed for multilingual models in Indian languages, enhancing cross...

[2602.15039] GRACE: an Agentic AI for Particle Physics Experiment Design and Simulation

The paper presents GRACE, an AI agent designed for autonomous experimental design in particle physics, utilizing simulations to optimize ...

[2602.15034] EduResearchBench: A Hierarchical Atomic Task Decomposition Benchmark for Full-Lifecycle Educational Research

EduResearchBench introduces a novel benchmark for evaluating educational research workflows using a Hierarchical Atomic Task Decompositio...

[2602.13209] LemonadeBench: Evaluating the Economic Intuition of Large Language Models in Simple Markets

The paper presents LemonadeBench, a benchmark for assessing the economic intuition of large language models (LLMs) through a simulated le...

[2602.15816] Developing AI Agents with Simulated Data: Why, what, and how?

This article discusses the significance of synthetic data generation through simulation for training AI agents, addressing challenges and...

[2602.15791] Enhancing Building Semantics Preservation in AI Model Training with Large Language Model Encodings

This article presents a novel approach to enhance building semantics preservation in AI model training using large language model encodin...

[2602.15382] The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems

The paper introduces the Vision Wormhole, a framework for enabling efficient latent-space communication in heterogeneous multi-agent syst...

[2602.15776] GlobeDiff: State Diffusion Process for Partial Observability in Multi-Agent Systems

The paper presents GlobeDiff, a novel algorithm addressing partial observability in multi-agent systems by utilizing a state diffusion pr...

[2602.15669] PERSONA: Dynamic and Compositional Inference-Time Personality Control via Activation Vector Algebra

The paper introduces PERSONA, a novel framework for dynamic personality control in Large Language Models (LLMs) using activation vector a...