Ai Agents
Sierra's Bret Taylor says the era of clicking buttons is over | TechCrunch
Co-founder of Sierra predicts that AI agents will make software interfaces obsolete.
TechCrunch - AI
·
4 min
·
AI Agents
Autonomous agents, tool use, and agentic systems
Top This Week
Ai Agents
Visa rolls out AI agent shopping infrastructure
submitted by /u/tekz [link] [comments]
Reddit - Artificial Intelligence
·
1 min
·
Llms
I compiled every major AI agent security incident from 2024-2026 in one place - 90 incidents, all sourced, updated weekly
After tracking AI agent security incidents for the past year, I put together a single reference covering every major breach, vulnerabilit...
Reddit - Artificial Intelligence
·
1 min
·
All Content
![[2602.15922] World Action Models are Zero-shot Policies](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Machine Learning
[2602.15922] World Action Models are Zero-shot Policies
The paper introduces DreamZero, a World Action Model (WAM) that enhances zero-shot policy learning for robotic tasks by predicting future...
arXiv - Machine Learning
·
4 min
·
Machine Learning
[2602.15914] Steering Dynamical Regimes of Diffusion Models by Breaking Detailed Balance
This paper explores how breaking detailed balance in generative diffusion processes can enhance reverse processes while maintaining stati...
arXiv - Machine Learning
·
3 min
·
Ai Safety
[2602.15893] Statistical-Geometric Degeneracy in UAV Search: A Physics-Aware Asymmetric Filtering Approach
This article presents a novel approach to UAV search operations in post-disaster scenarios, addressing the challenges posed by Non-Line-o...
arXiv - Machine Learning
·
4 min
·
Machine Learning
[2602.16008] MAEB: Massive Audio Embedding Benchmark
The MAEB paper introduces a comprehensive benchmark for evaluating audio models across 30 tasks in over 100 languages, highlighting perfo...
arXiv - Machine Learning
·
4 min
·
Machine Learning
[2602.15891] Learning to Drive in New Cities Without Human Demonstrations
This paper presents NOMAD, a novel approach for training autonomous vehicles to navigate new cities without relying on human driving demo...
arXiv - Machine Learning
·
3 min
·
Llms
[2602.15874] P-RAG: Prompt-Enhanced Parametric RAG with LoRA and Selective CoT for Biomedical and Multi-Hop QA
The paper introduces P-RAG, a novel hybrid architecture that enhances Retrieval-Augmented Generation (RAG) for biomedical question answer...
arXiv - Machine Learning
·
4 min
·
Ai Safety
[2602.15959] Position-Aware Scene-Appearance Disentanglement for Bidirectional Photoacoustic Microscopy Registration
This paper presents GPEReg-Net, a novel framework for improving image registration in bidirectional photoacoustic microscopy by disentang...
arXiv - AI
·
3 min
·
Machine Learning
[2602.15954] Hybrid Model Predictive Control with Physics-Informed Neural Network for Satellite Attitude Control
This paper presents a hybrid model predictive control approach using physics-informed neural networks for improved satellite attitude con...
arXiv - AI
·
4 min
·
Machine Learning
[2602.15945] From Tool Orchestration to Code Execution: A Study of MCP Design Choices
This paper explores the design choices of Model Context Protocols (MCPs) and introduces Code Execution MCP (CE-MCP) as a solution to scal...
arXiv - AI
·
4 min
·
Machine Learning
[2602.16709] Knowledge-Embedded Latent Projection for Robust Representation Learning
This article presents a novel knowledge-embedded latent projection model aimed at improving representation learning in high-dimensional d...
arXiv - Machine Learning
·
4 min
·
Llms
[2602.15918] EarthSpatialBench: Benchmarking Spatial Reasoning Capabilities of Multimodal LLMs on Earth Imagery
The paper presents EarthSpatialBench, a benchmark designed to evaluate spatial reasoning capabilities of multimodal large language models...
arXiv - AI
·
4 min
·
Llms
[2602.16684] Retrieval-Augmented Foundation Models for Matched Molecular Pair Transformations to Recapitulate Medicinal Chemistry Intuition
This article presents a novel approach using retrieval-augmented foundation models for matched molecular pair transformations, enhancing ...
arXiv - Machine Learning
·
3 min
·
Machine Learning
[2602.15915] MaS-VQA: A Mask-and-Select Framework for Knowledge-Based Visual Question Answering
The paper presents MaS-VQA, a novel framework for Knowledge-Based Visual Question Answering that enhances answer accuracy by integrating ...
arXiv - AI
·
3 min
·
Machine Learning
[2602.15909] Resp-Agent: An Agent-Based System for Multimodal Respiratory Sound Generation and Disease Diagnosis
The paper presents Resp-Agent, an innovative agent-based system for generating multimodal respiratory sounds and diagnosing diseases, add...
arXiv - AI
·
4 min
·
Machine Learning
[2602.16642] Optimizer choice matters for the emergence of Neural Collapse
This paper explores how the choice of optimizer affects the emergence of Neural Collapse (NC) in deep neural networks, introducing a new ...
arXiv - Machine Learning
·
4 min
·
Nlp
[2602.16629] Almost Sure Convergence of Differential Temporal Difference Learning for Average Reward Markov Decision Processes
This paper presents the almost sure convergence of differential temporal difference learning for average reward Markov decision processes...
arXiv - AI
·
3 min
·
Llms
[2602.16626] A Systematic Evaluation of Sample-Level Tokenization Strategies for MEG Foundation Models
This article evaluates sample-level tokenization strategies for MEG foundation models, comparing learnable and non-learnable approaches t...
arXiv - AI
·
4 min
·
Machine Learning
[2602.15888] NeuroSleep: Neuromorphic Event-Driven Single-Channel EEG Sleep Staging for Edge-Efficient Sensing
NeuroSleep presents a neuromorphic event-driven system for efficient EEG sleep staging, achieving high accuracy with reduced computationa...
arXiv - Machine Learning
·
4 min
·
Llms
[2602.15882] FUTURE-VLA: Forecasting Unified Trajectories Under Real-time Execution
FUTURE-VLA introduces a unified architecture for real-time trajectory forecasting in robotics, enhancing spatiotemporal reasoning and pre...
arXiv - AI
·
3 min
·
Nlp
[2602.16564] A Scalable Approach to Solving Simulation-Based Network Security Games
The paper presents MetaDOAR, a scalable meta-controller for solving simulation-based network security games, enhancing multi-agent reinfo...
arXiv - Machine Learning
·
3 min
·
Related Topics
Stay updated with AI News
Get the latest news, tools, and insights delivered to your inbox.
Daily or weekly digest • Unsubscribe anytime