AI Agents & Automation

Adrian Cockcroft explains the transition from cloud-native to AI-native development. He shares his "director-level" approach to managing swarms of autonomous ag

Author(s): DrSwarnenduAI Originally published on Towards AI. 512,000 lines of TypeScript. A secret AI pet. An always-on daemon that dreams. A mode that hides fr

Author(s): Divy Yadav Originally published on Towards AI. The practical guide to monitoring, debugging, and governing AI agents before they become a liability Y

arXiv:2604.00137v1 Announce Type: new Abstract: Tool-integrated LLMs can retrieve, compute, and take real-world actions via external tools, but reliability rema

arXiv:2604.00284v1 Announce Type: new Abstract: We formally introduce a improvisational wordplay game called Connections to explore reasoning capabilities of AI

arXiv:2604.00319v1 Announce Type: new Abstract: We develop algorithms for collaborative control of AI agents and critics in a multi-actor, multi-critic federate

arXiv:2604.00356v1 Announce Type: new Abstract: Agentic applications based on large language models increasingly rely on multi-step interaction loops involving

arXiv:2604.00788v1 Announce Type: new Abstract: This technical report presents methods developed by the UK AI Security Institute for assessing whether advanced

arXiv:2604.00795v1 Announce Type: new Abstract: We propose the Preference Guided Iterated Pareto Referent Optimisation (PG-IPRO) for urban route planning for pe

arXiv:2604.00842v1 Announce Type: new Abstract: Proactive agents that anticipate user needs and autonomously execute tasks hold great promise as digital assista

arXiv:2604.01221v1 Announce Type: new Abstract: We present HippoCamp, a new benchmark designed to evaluate agents' capabilities on multimodal file management. U

arXiv:2603.05735v2 Announce Type: cross Abstract: We present an AI agentic measurement of the thrust distribution in $e^{+}e^{-}$ collisions at $\sqrt{s}=91.2$~

arXiv:2604.00043v1 Announce Type: cross Abstract: Non-Axiomatic Reasoning Systems (NARS) provide a framework for building adaptive agents that operate under ins

arXiv:2604.00057v1 Announce Type: cross Abstract: Soccer commentary plays a crucial role in enhancing the soccer game viewing experience for audiences. Previous

arXiv:2604.00073v1 Announce Type: cross Abstract: There has been growing interest in building agents that can interact with digital platforms to execute meaning

arXiv:2604.00081v1 Announce Type: cross Abstract: The accelerating displacement of human labor by artificial intelligence (AI) and robotic systems represents a

arXiv:2604.00168v1 Announce Type: cross Abstract: Autonomous platforms operating in the oceans require accurate navigation to successfully complete their missio

arXiv:2604.00171v1 Announce Type: cross Abstract: The rapid development of AI and LLMs has driven new methods of SDLC, in which a large portion of code, technic

arXiv:2604.00186v1 Announce Type: cross Abstract: This paper extends the Acemoglu-Restrepo task exposure framework to address the labor market effects of agenti

arXiv:2604.00189v1 Announce Type: cross Abstract: To support practitioners in understanding how agentic systems are designed in real-world industrial practice,

arXiv:2604.00237v1 Announce Type: cross Abstract: Present practice of deciding on regulation faces numerous problems that make adopted regulations static, unexp

arXiv:2604.00265v1 Announce Type: cross Abstract: We propose Question-Asking Navigation (QAsk-Nav), the first reproducible benchmark for Collaborative Instance

arXiv:2604.00280v1 Announce Type: cross Abstract: Formal specifications play a central role in ensuring software reliability and correctness. However, automatic

arXiv:2604.00350v1 Announce Type: cross Abstract: We used the Webots robotics simulation platform to simulate a dyadic avoiding and mobbing predator behavior in

arXiv:2604.00402v1 Announce Type: cross Abstract: Developing robust models to accurately predict the trajectories of surrounding agents is fundamental to autono

arXiv:2604.00416v1 Announce Type: cross Abstract: We present EgoNav, a system that enables a humanoid robot to traverse diverse, unseen environments by learning

arXiv:2604.00464v1 Announce Type: cross Abstract: AI-driven conversational coaching is increasingly used to support workplace negotiation, yet prior work assume

arXiv:2604.00517v1 Announce Type: cross Abstract: With the rapid advancements in deep learning techniques, wearable sensor-aided animal activity recognition (AA

arXiv:2604.00537v1 Announce Type: cross Abstract: Dental diagnosis from Orthopantomograms (OPGs) requires coordination of tooth detection, caries segmentation (

arXiv:2604.00675v1 Announce Type: cross Abstract: Mechanistic simulations typically assume fixed ontologies: variables, causal relationships, and resolution pol

arXiv:2604.00694v1 Announce Type: cross Abstract: Autonomous agents increasingly interact with the web, yet most websites remain designed for human browsers --

arXiv:2604.00717v1 Announce Type: cross Abstract: Non-stationarity arises from concurrent policy updates and leads to persistent environmental fluctuations. Exi

arXiv:2604.00730v1 Announce Type: cross Abstract: Context: Schools, training platforms, and technology firms increasingly need to assess programming proficiency

arXiv:2604.00813v1 Announce Type: cross Abstract: End-to-end autonomous driving has evolved from the conventional paradigm based on sparse perception into visio

arXiv:2604.00917v1 Announce Type: cross Abstract: The rise of large language models for code has reshaped software development. Autonomous coding agents, able t

arXiv:2604.00927v1 Announce Type: cross Abstract: We present DANCEMATCH, an end-to-end framework for motion-based dance retrieval, the task of identifying seman

arXiv:2604.00986v1 Announce Type: cross Abstract: We study whether phone-use agents respect privacy while completing benign mobile tasks. This question has rema

arXiv:2604.00994v1 Announce Type: cross Abstract: YouTube Shorts have become central to news consumption on the platform, yet research on how geopolitical event

arXiv:2604.01001v1 Announce Type: cross Abstract: We introduce EgoSim, a closed-loop egocentric world simulator that generates spatially consistent interaction

arXiv:2604.01020v1 Announce Type: cross Abstract: While large language model-based multi-agent systems have shown strong potential for complex reasoning, how to

arXiv:2604.01049v1 Announce Type: cross Abstract: Next-generation (NextG) cellular networks are designed to support emerging applications with diverse data rate

arXiv:2604.01114v1 Announce Type: cross Abstract: As generative AI systems are integrated into educational settings, students often encounter AI-generated outpu

arXiv:2604.01128v1 Announce Type: cross Abstract: This paper introduces the first systematic evaluation framework for quantifying the quality and risks of paper

arXiv:2604.01179v1 Announce Type: cross Abstract: Foundation vision-language models are becoming increasingly relevant to robotics because they can provide rich

arXiv:2604.01210v1 Announce Type: cross Abstract: Scientific algorithm discovery is iterative: hypotheses are proposed, implemented, stress-tested, and revised.

arXiv:2604.01212v1 Announce Type: cross Abstract: As LLM agents tackle increasingly complex tasks, a critical question is whether they can maintain strategic co

arXiv:2604.01215v1 Announce Type: cross Abstract: AI weather prediction has advanced rapidly, yet no unified mathematical framework explains what determines for

arXiv:2603.15929v2 Announce Type: replace Abstract: We present a complete Lean 4 formalization of the equilibrium characterization in the Vlasov-Maxwell-Landau