AI Agents & Automation

arXiv:2604.06107v1 Announce Type: new Abstract: Recent progress in artificial intelligence (AI) is unlocking transformative capabilities for mathematics. There

arXiv:2604.06111v1 Announce Type: new Abstract: Existing Agent benchmarks suffer from two critical limitations: high environment interaction overhead (up to 41\

arXiv:2604.06132v1 Announce Type: new Abstract: Large language models are increasingly deployed as autonomous agents executing multi-step workflows in real-worl

arXiv:2604.04979v1 Announce Type: cross Abstract: Coding agents repeatedly consume long tool observations even though only a small fraction of each observation

arXiv:2604.05000v1 Announce Type: cross Abstract: This paper presents a closed-loop system for software lifecycle management framed as a control architecture ra

arXiv:2604.05080v1 Announce Type: cross Abstract: We present Nidus, a governance runtime that mechanizes the V-model for AI-assisted software delivery. In the s

arXiv:2604.05110v1 Announce Type: cross Abstract: Breast cancer screening relies heavily on mammography, where the craniocaudal (CC) and mediolateral oblique (M

arXiv:2604.05226v1 Announce Type: cross Abstract: Evaluation of robotic manipulation systems has largely relied on fixed benchmarks authored by a small number o

arXiv:2604.05278v1 Announce Type: cross Abstract: Spec-driven development (SDD) with AI coding agents provides a structured workflow, but agents often remain "c

arXiv:2604.05343v1 Announce Type: cross Abstract: Generating long sequences with structural coherence remains a fundamental challenge for autoregressive models

arXiv:2604.05368v1 Announce Type: cross Abstract: AI is increasingly used to scale collective decision-making, but far less attention has been paid to how such

arXiv:2604.05429v1 Announce Type: cross Abstract: Addressing the critical need for intelligent, context-aware energy management in renewable systems, we introdu

arXiv:2604.05440v1 Announce Type: cross Abstract: Modern Security Operations Centers struggle with alert fatigue, fragmented tooling, and limited cross-source e

arXiv:2604.05458v1 Announce Type: cross Abstract: Network Intrusion Detection Systems (NIDS) face important limitations. Signature-based methods are effective f

arXiv:2604.05526v1 Announce Type: cross Abstract: This paper presents the submission of the S4 team to the Singing Voice Conversion Challenge 2025 (SVCC2025)-a

arXiv:2604.05589v1 Announce Type: cross Abstract: Agentic Al systems are increasingly deployed as personal assistants and are likely to become a common object o

arXiv:2604.05605v1 Announce Type: cross Abstract: Video conferencing has become central to professional collaboration, yet most platforms offer limited support

arXiv:2604.05656v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) models based on flow matching -- such as pi0, pi0.5, and SmolVLA -- achieve state

arXiv:2604.05711v1 Announce Type: cross Abstract: Web applications rely heavily on hyperlinks to connect disparate information resources. However, the dynamic n

arXiv:2604.05830v1 Announce Type: cross Abstract: Voice-based interfaces are widely used; however, achieving fair Wake-up Word detection across diverse speaker

arXiv:2604.05848v1 Announce Type: cross Abstract: Learner representations play a central role in educational AI systems, yet it is often unclear whether they pr

arXiv:2604.05877v1 Announce Type: cross Abstract: Dental comparison is considered a primary identification method, at the level of fingerprints and DNA profilin

arXiv:2604.05929v1 Announce Type: cross Abstract: Generation of graphs constrained by a specified graph edit distance from a source graph is important in applic

arXiv:2604.05953v1 Announce Type: cross Abstract: We present a polynomial-time algorithm for computing an optimal committee of size $k$ under any given Thiele v

arXiv:2604.05969v1 Announce Type: cross Abstract: The Model Context Protocol (MCP), introduced by Anthropic in November 2024 and now governed by the Linux Found

arXiv:2604.06124v1 Announce Type: cross Abstract: This study proposes a lightweight multimodal adaptation framework to bridge the representation gap between RGB

arXiv:2604.06126v1 Announce Type: cross Abstract: Computer-use agents hold the promise of assisting in a wide range of digital economic activities. However, cur

arXiv:2604.06148v1 Announce Type: cross Abstract: The governance of artificial intelligence has a blind spot: the machine identities that AI systems use to act.

arXiv:2406.14514v4 Announce Type: replace Abstract: Interdicting a criminal with limited police resources is a challenging task as the criminal changes location

arXiv:2505.00472v2 Announce Type: replace Abstract: Agentic Artificial Intelligence (AI) constitutes a transformative paradigm in the evolution of intelligent a

arXiv:2509.18633v4 Announce Type: replace Abstract: We present an open-source Python framework for modelling cascading physical climate risk in a spatial supply

arXiv:2512.19396v2 Announce Type: replace Abstract: Contemporary GUI agents, while increasingly capable due to advances in Large Vision-Language Models (VLMs),

arXiv:2502.10573v2 Announce Type: replace-cross Abstract: Next activity prediction in predictive business process monitoring is crucial for operational efficien

arXiv:2509.10547v2 Announce Type: replace-cross Abstract: Despite the diversity and volume of brain data acquired and advanced AI-based algorithms to analyze th

arXiv:2509.18355v5 Announce Type: replace-cross Abstract: Achieving high performance, energy efficiency, and cost-effectiveness while maintaining architectural

arXiv:2510.25241v2 Announce Type: replace-cross Abstract: Whole-body humanoid motion represents a fundamental challenge in robotics, requiring balance, coordina

arXiv:2601.05930v2 Announce Type: replace-cross Abstract: Autonomous machine learning agents have revolutionized scientific discovery, yet they remain constrain

arXiv:2602.06934v3 Announce Type: replace-cross Abstract: Grassroots Logic Programs (GLP) is a multiagent, concurrent, logic programming language designed for t

For years, buying editorial coverage looked less like modern marketing and more like digging through email archives. A brand would hire an agency. The agency bu

SandboxAQ has an AI platform to help materials researchers speed the development of safer, higher-powered, solid-state batteries for autos, the military and dat

Arcade is the MCP runtime for production agents, delivering secure agent authorization, reliable tools, and governance. This integration gives your agents acces

Unlike static, rules-based systems, AI agents can learn, adapt, and optimize processes dynamically. As they interact with data, systems, people, and other agent

AI agents are moving from trial to mainstream in enterprise IT, redefining security needs. Their autonomy and speed demand new network-based, real-time defense

Anthropic is debuting a new AI model as part of a cybersecurity partnership with Nvidia, Google, Amazon Web Services, Apple, Microsoft, and other companies. Pro

How to optimize context, a precious finite resource for AI agents The post Context Engineering for AI Agents: A Deep Dive appeared first on Towards Data Science

Enterprise spending on generative AI is rapidly increasing, with most companies now purchasing third-party solutions instead of building in-house. However, many

AML isn’t breaking because detection is weak. It’s breaking because investigation hasn’t scaled. Most compliance teams sit on top of increasingly powerful detec

This article explains how OTT platforms use recommendation systems to deliver personalized viewing experiences. It covers collaborative and content-based filter