Tootfinder

InstaLILY, whose industry-specific AI agents called InstaWorkers integrate with legacy systems, raised $25M from Insight Partners (Mike Wheatley/SiliconANGLE)
https://siliconangle.com/2025/08/27/instalily-gets-25m-accelerate-industr…

InstaLILY gets $25M to accelerate industry automation with agentic AI teammates - SiliconANGLE
InstaLILY gets $25M to accelerate industry automation with agentic AI teammates - SiliconANGLE

MMBench-GUI: Hierarchical Multi-Platform Evaluation Framework for GUI Agents
Xuehui Wang, Zhenyu Wu, JingJing Xie, Zichen Ding, Bowen Yang, Zehao Li, Zhaoyang Liu, Qingyun Li, Xuan Dong, Zhe Chen, Weiyun Wang, Xiangyu Zhao, Jixuan Chen, Haodong Duan, Tianbao Xie, Chenyu Yang, Shiqian Su, Yue Yu, Yuan Huang, Yiqian Liu, Xiao Zhang, Yanting Zhang, Xiangyu Yue, Weijie Su, Xizhou Zhu, Wei Shen, Jifeng Dai, Wenhai Wang

MMBench-GUI: Hierarchical Multi-Platform Evaluation Framework for GUI Agents
We introduce MMBench-GUI, a hierarchical benchmark for evaluating GUI automation agents across Windows, macOS, Linux, iOS, Android, and Web platforms. It comprises four levels: GUI Content Understanding, Element Grounding, Task Automation, and Task Collaboration, covering essential skills for GUI agents. In addition, we propose a novel Efficiency-Quality Area (EQA) metric to assess GUI agent execution efficiency in online automation scenarios. Through MMBench-GUI, we identify accurate visual gr…

Maintenance automation: methods for robotics manipulation planning and execution
Christian Friedrich, Ralf Gulde, Armin Lechler, Alexander Verl
https://arxiv.org/abs/2508.18399 …

Maintenance automation: methods for robotics manipulation planning and execution
Automating complex tasks using robotic systems requires skills for planning, control and execution. This paper proposes a complete robotic system for maintenance automation, which can automate disassembly and assembly operations under environmental uncertainties (e.g. deviations between prior plan information). The cognition of the robotic system is based on a planning approach (using CAD and RGBD data) and includes a method to interpret a symbolic plan and transform it to a set of executable r…

Research on Sectionalizing Switches Placement Problem of Distribution System Automation Based on Multi-Objective Optimization Analysis
Selma Cheshmeh Khavar, Arya Abdollahi
https://arxiv.org/abs/2507.19029

Research on Sectionalizing Switches Placement Problem of Distribution System Automation Based on Multi-Objective Optimization Analysis
Achieving high distribution-reliability levels and concurrently minimizing operating costs can be considered as the main issues in distribution system optimization. Determination of the optimal number and location of automation devices in the distribution system network is an essential issue from the reliability and economical points of view. To address these issues, this paper develops a multi-objective model, wherein the primary objective, optimal automation devices placement is implemented a…

Maisa AI, which offers an enterprise agentic automation service that uses a proprietary system to limit hallucinations, raised $25M seed led by Creandum (Anna Heim/TechCrunch)
https://techcrunch.com/2025/08/27/maisa-ai-gets-25m-to-fix-enterprise-ais…

Maisa AI gets $25M to fix enterprise AI's 95% failure rate | TechCrunch
Maisa AI is built on the premise that enterprise automation requires accountable AI agents, not opaque black boxes.

I’ve been discussing some agent swarm based development work on LinkedIn. So far it’s going well, I’m figuring out how to get the results I want from the tools. As I say there, it feels more like managing a team of experienced product managers and developers (which I’ve done a few times in my career) than doing developer work faster.

Update on my Swift/iOS app development work using Claude-flow. | Adrian Cockcroft
Update on my Swift/iOS app development work using Claude-flow. I took some time away from it but last week I continued cleaning up the code. The app was working for me but Claude had built over 200 tests, unit tests and UI automation tests and I spent a day focused on getting them all to work, which found a few issues in the app code. Claude isn’t as good at writing Swift as Python (which tends to work first time) but when the compile failures and test error logs are passed back to it, it d…

CHEMSMART: Chemistry Simulation and Modeling Automation Toolkit for High-Efficiency Computational Chemistry Workflows
Xinglong Zhang, Huiwen Tan, Jingyi Liu, Zihan Li, Lewen Wang, Benjamin W. J. Chen
https://arxiv.org/abs/2508.20042

CHEMSMART: Chemistry Simulation and Modeling Automation Toolkit for High-Efficiency Computational Chemistry Workflows
CHEMSMART (Chemistry Simulation and Modeling Automation Toolkit) is an open-source, Python-based framework designed to streamline quantum chemistry workflows for homogeneous catalysis and molecular modeling. By integrating job preparation, submission, execution, results analysis, and visualization, CHEMSMART addresses the inefficiencies of manual workflow management in computational chemistry by ensuring seamless interoperability with quantum chemistry packages and cheminformatics platforms. It…

Cybernaut: Towards Reliable Web Automation
Ankur Tomar, Hengyue Liang, Indranil Bhattacharya, Natalia Larios, Francesco Carbone
https://arxiv.org/abs/2508.16688 https://

Cybernaut: Towards Reliable Web Automation
The emergence of AI-driven web automation through Large Language Models (LLMs) offers unprecedented opportunities for optimizing digital workflows. However, deploying such systems within industry's real-world environments presents four core challenges: (1) ensuring consistent execution, (2) accurately identifying critical HTML elements, (3) meeting human-like accuracy in order to automate operations at scale and (4) the lack of comprehensive benchmarking data on internal web applications. Exist…

Efficient task and path planning for maintenance automation using a robot system
Christian Friedrich, Akos Csiszar, Armin Lechler, Alexander Verl
https://arxiv.org/abs/2508.18400

Efficient task and path planning for maintenance automation using a robot system
The research and development of intelligent automation solutions is a ground-breaking point for the factory of the future. A promising and challenging mission is the use of autonomous robot systems to automate tasks in the field of maintenance. For this purpose, the robot system must be able to plan autonomously the different manipulation tasks and the corresponding paths. Basic requirements are the development of algorithms with a low computational complexity and the possibility to deal with e…

The popular meaning of "luddite" is a straw-man. It's a sloppy word with a sloppy meaning now, and it's one we'd do well to watch out for.
The actual reality of who the Luddites were is far more interesting, the center of the hard-fought struggles against owners of factories disrupting entire towns and cities economies with massively terrible results, centralizing power and money and leaving a great number of people without any control of their work, formerly artisans who'd had a hand in their own work, and many automated out of jobs. Luddites destroyed automated looms not because they hated technology. They destroyed automated looms because they were taking the livelihood they depended on, with no recourse, and it was a disaster for a good while, and then millwork has gone from those places probably forever.
The problem now with LLMs and automated research systems is there's very little way for workers and creators to stick their shoes in the machinery. They've tried (https://arxiv.org/abs/2407.12281) but mostly failed, since unlike a factory full of textile workers, the equipment is remote, the automation virtual, an intangible software object that few can access in any meaningful way.

Who's ready for Sylius? Join us later for an evening of #Sylius, automation, and networking.
Register now: https://www.meetup.com/phpug-rhein-neckar/events/305478305/

PHPUGMRN 03/25 (The Sylius Meetup), Thu, Jun 26, 2025, 7:00 PM | Meetup
**Agenda:** 19:00 CET - Intro 19:05 CET - Brille24 - Post Mortem, Max Pesch 19:50 CET - Break 20:00 CET - Sylius & Automation, let's dive in!, Jacques Bodin-Hullin 20:50 CE

Large Language Models (LLMs) for Electronic Design Automation (EDA)
Kangwei Xu, Denis Schwachhofer, Jason Blocklove, Ilia Polian, Peter Domanski, Dirk Pfl\"uger, Siddharth Garg, Ramesh Karri, Ozgur Sinanoglu, Johann Knechtel, Zhuorui Zhao, Ulf Schlichtmann, Bing Li
https://arxiv.org/abs/2508.20030…

Large Language Models (LLMs) for Electronic Design Automation (EDA)
With the growing complexity of modern integrated circuits, hardware engineers are required to devote more effort to the full design-to-manufacturing workflow. This workflow involves numerous iterations, making it both labor-intensive and error-prone. Therefore, there is an urgent demand for more efficient Electronic Design Automation (EDA) solutions to accelerate hardware development. Recently, large language models (LLMs) have shown remarkable advancements in contextual comprehension, logical …

Wir haben schon viele Anmeldungen, aber wäre cool NOCH MEHR zu haben. :)
"#Yocto #Linux in Mission Critical Energy Systems – A #Hitachi Energy Journey"

Yocto Linux in Mission Critical Energy Systems – A Hitachi Energy Journey, Do., 28. Aug. 2025, 19:00 | Meetup
Hitachi Energy is in the middle of an exciting rollout of Linux-based energy grid automation and protection products. This meetup tells the story of the switch to embedded

Reading minds on the road: decoding perceived risk in automated vehicles through 140K ratings
Xiaolin He, Zirui Li, Xinwei Wang, Riender Happee, Meng Wang
https://arxiv.org/abs/2508.19121

Reading minds on the road: decoding perceived risk in automated vehicles through 140K+ ratings
Perceived risk in automated vehicles (AVs) can create the very danger that automation is meant to prevent: a frightened rider may hesitate when seconds matter, misjudge hazards, or disengage. However, measuring how perceived risk evolves in real time during driving remains challenging, leaving a gap in decoding such hidden psychological states. Here, we present a novel method to time-continuously measure and decode perceived risk. We conducted a controlled experiment where 2,164 participants vi…

Collaborative Intelligence: Topic Modelling of Large Language Model use in Live Cybersecurity Operations
Martin Lochner, Keegan Keplinger
https://arxiv.org/abs/2508.18488 https:…

Collaborative Intelligence: Topic Modelling of Large Language Model use in Live Cybersecurity Operations
Objective: This work describes the topic modelling of Security Operations Centre (SOC) use of a large language model (LLM), during live security operations. The goal is to better understand how these specialists voluntarily use this tool. Background: Human-automation teams have been extensively studied, but transformer-based language models have sparked a new wave of collaboration. SOC personnel at a major cybersecurity provider used an LLM to support live security operations. This study exam…

HAMSA: Hijacking Aligned Compact Models via Stealthy Automation
Alexey Krylov, Iskander Vagizov, Dmitrii Korzh, Maryam Douiba, Azidine Guezzaz, Vladimir Kokh, Sergey D. Erokhin, Elena V. Tutubalina, Oleg Y. Rogov
https://arxiv.org/abs/2508.16484

HAMSA: Hijacking Aligned Compact Models via Stealthy Automation
Large Language Models (LLMs), especially their compact efficiency-oriented variants, remain susceptible to jailbreak attacks that can elicit harmful outputs despite extensive alignment efforts. Existing adversarial prompt generation techniques often rely on manual engineering or rudimentary obfuscation, producing low-quality or incoherent text that is easily flagged by perplexity-based filters. We present an automated red-teaming framework that evolves semantically meaningful and stealthy jailb…

Dutch web design automation startup Framer raised $100M led by Meritech and Atomico with Accel participation at a $2B valuation, after raising $27M in 2023 (Yazhou Sun/Bloomberg)
https://www.bloomberg.com/news/articles/20

I wrote up my code for downloading the installer from a current GitHub release
#Automation

Downloading a GitHub current release
I had a need to download the current version of a package distributed via GitHub in one of my Ansible playbooks. I also wrote a PowerShell version for use in another script. I wanted to write down the code so I wouldn't forget it. You have to specify the GitHub

My experience is limited to ASP.NET, SQL, and some Python at a Fortune 500 company, so take this with a grain of salt. When he talks about agents, it sounds like automation to me. I’ve been writing jobs (or agents) for decades to run automated tasks on a schedule. If you want to add another point of failure into your job, knock yourself out. Also, I’m wary of encouraging neophytes to outsource work they don’t know how to do. That’s a recipe for disaster.

CFTel: A Practical Architecture for Robust and Scalable Telerobotics with Cloud-Fog Automation
Thien Tran, Jonathan Kua, Minh Tran, Honghao Lyu, Thuong Hoang, Jiong Jin
https://arxiv.org/abs/2506.17991

CFTel: A Practical Architecture for Robust and Scalable Telerobotics with Cloud-Fog Automation
Telerobotics is a key foundation in autonomous Industrial Cyber-Physical Systems (ICPS), enabling remote operations across various domains. However, conventional cloud-based telerobotics suffers from latency, reliability, scalability, and resilience issues, hindering real-time performance in critical applications. Cloud-Fog Telerobotics (CFTel) builds on the Cloud-Fog Automation (CFA) paradigm to address these limitations by leveraging a distributed Cloud-Edge-Robotics computing architecture, e…

Airalogy: AI-empowered universal data digitization for research automation
Zijie Yang, Qiji Zhou, Fang Guo, Sijie Zhang, Yexun Xi, Jinglei Nie, Yudian Zhu, Liping Huang, Chou Wu, Yonghe Xia, Xiaoyu Ma, Yingming Pu, Panzhong Lu, Junshu Pan, Mingtao Chen, Tiannan Guo, Yanmei Dou, Hongyu Chen, Anping Zeng, Jiaxing Huang, Tian Xu, Yue Zhang
https://

Airalogy: AI-empowered universal data digitization for research automation
Research data are the foundation of Artificial Intelligence (AI)-driven science, yet current AI applications remain limited to a few fields with readily available, well-structured, digitized datasets. Achieving comprehensive AI empowerment across multiple disciplines is still out of reach. Present-day research data collection is often fragmented, lacking unified standards, inefficiently managed, and difficult to share. Creating a single platform for standardized data digitization needs to overc…

Technical Implementation of Tippy: Multi-Agent Architecture and System Design for Drug Discovery Laboratory Automation
Yao Fehlis, Charles Crain, Aidan Jensen, Michael Watson, James Juhasz, Paul Mandel, Betty Liu, Shawn Mahon, Daren Wilson, Nick Lynch-Jonely, Ben Leedom, David Fuller
https://arxiv.org/abs/2507.17852

Technical Implementation of Tippy: Multi-Agent Architecture and System Design for Drug Discovery Laboratory Automation
Building on the conceptual framework presented in our previous work on agentic AI for pharmaceutical research, this paper provides a comprehensive technical analysis of Tippy's multi-agent system implementation for drug discovery laboratory automation. We present a distributed microservices architecture featuring five specialized agents (Supervisor, Molecule, Lab, Analysis, and Report) that coordinate through OpenAI Agents SDK orchestration and access laboratory tools via the Model Context Prot…

Israeli customer service automation company Nice acquires Cognigy, which develops a conversational and agentic AI platform, for $955M, set to close in Q4 2025 (Shiri Habib-Valdhorn/Globes)
https://en.globes.co.il/en/article-nice-acquires-ai-co-cognigy-…

Nice acquires AI co Cognigy for $955m
The acquisition combines Nice's purpose built customer service AI platform with Cognigy's conversational and agentic platform, which will enable organizations to accelerate AI adoption in customer experience.

Compositional Verification in Concurrent Separation Logic with Permissions Regions
Quang Loc Le
https://arxiv.org/abs/2508.18115 https://arxiv.org/pdf/2508…

Compositional Verification in Concurrent Separation Logic with Permissions Regions
Concurrent separation logic with fractional permissions (CSLPerm) provides a promising reasoning system to verify most complex sequential and concurrent fine-grained programs. The logic with strong and weak separating conjunctions offers a solid foundation for producing concise and precise proofs. However, it lacks automation and compositionality support. This paper addresses this limitation by introducing a compositional verification system for concurrent programs that manipulate regions of sh…

On my side of iOS 18.5, automation based on application start seems to be completely broken.
This doesn’t do anything

Servant, Stalker, Predator: How An Honest, Helpful, And Harmless (3H) Agent Unlocks Adversarial Skills
David Noever
https://arxiv.org/abs/2508.19500 https://

Servant, Stalker, Predator: How An Honest, Helpful, And Harmless (3H) Agent Unlocks Adversarial Skills
This paper identifies and analyzes a novel vulnerability class in Model Context Protocol (MCP) based agent systems. The attack chain describes and demonstrates how benign, individually authorized tasks can be orchestrated to produce harmful emergent behaviors. Through systematic analysis using the MITRE ATLAS framework, we demonstrate how 95 agents tested with access to multiple services-including browser automation, financial analysis, location tracking, and code deployment-can chain legitimat…

Empirical Analysis of the Effect of Context in the Task of Automated Essay Scoring in Transformer-Based Models
Abhirup Chakravarty
https://arxiv.org/abs/2508.16638 https://

Empirical Analysis of the Effect of Context in the Task of Automated Essay Scoring in Transformer-Based Models
Automated Essay Scoring (AES) has emerged to prominence in response to the growing demand for educational automation. Providing an objective and cost-effective solution, AES standardises the assessment of extended responses. Although substantial research has been conducted in this domain, recent investigations reveal that alternative deep-learning architectures outperform transformer-based models. Despite the successful dominance in the performance of the transformer architectures across variou…

From Chaos to Automation: Enabling the Use of Unstructured Data for Robotic Process Automation
Kelly Kurowski, Xixi Lu, Hajo A. Reijers
https://arxiv.org/abs/2507.11364

From Chaos to Automation: Enabling the Use of Unstructured Data for Robotic Process Automation
The growing volume of unstructured data within organizations poses significant challenges for data analysis and process automation. Unstructured data, which lacks a predefined format, encompasses various forms such as emails, reports, and scans. It is estimated to constitute approximately 80% of enterprise data. Despite the valuable insights it can offer, extracting meaningful information from unstructured data is more complex compared to structured data. Robotic Process Automation (RPA) has ga…

So I had this terrible idea a few years ago to write some infrastructure automation that provisions a new compute instance, sets up secrets storage, configures IAM roles, authorizes the new instance to be able to provision new instance and roles via infra-as-code automation, and then the new instance tears down the instance and roles that created it, before then creating its own new compute instance, etc
Like a self-propagating glider in Conway's Game of Life, except with cloud inf…

from my link log —
Ironies of automation. (1983)
http://www.complexcognition.co.uk/2021/06/ironies-of-automation.html
saved 2025-05-26

Ironies of Automation
This paper discusses ways in which automation of industrial processes may expand rather than eliminate problems with the human operator.   ...

Multimodal Behaviour Trees for Robotic Laboratory Task Automation
Hatem Fakhruldeen, Arvind Raveendran Nambiar, Satheeshkumar Veeramani, Bonilkumar Vijaykumar Tailor, Hadi Beyzaee Juneghani, Gabriella Pizzuto, Andrew Ian Cooper
https://arxiv.org/abs/2506.20399

Multimodal Behaviour Trees for Robotic Laboratory Task Automation
Laboratory robotics offer the capability to conduct experiments with a high degree of precision and reproducibility, with the potential to transform scientific research. Trivial and repeatable tasks; e.g., sample transportation for analysis and vial capping are well-suited for robots; if done successfully and reliably, chemists could contribute their efforts towards more critical research activities. Currently, robots can perform these tasks faster than chemists, but how reliable are they? Impr…

Breaking Barriers in Software Testing: The Power of AI-Driven Automation
Saba Naqvi, Mohammad Baqar
https://arxiv.org/abs/2508.16025 https://arxiv.org/pdf/…

Breaking Barriers in Software Testing: The Power of AI-Driven Automation
Software testing remains critical for ensuring reliability, yet traditional approaches are slow, costly, and prone to gaps in coverage. This paper presents an AI-driven framework that automates test case generation and validation using natural language processing (NLP), reinforcement learning (RL), and predictive models, embedded within a policy-driven trust and fairness model. The approach translates natural language requirements into executable tests, continuously optimizes them through learn…

DHMS: A Digital Hostel Management System Integrating Campus ChatBot, Predictive Intelligence, and Real-Time Automation
Riddhi Heda, Sidhant Singh, Umair Yasir, Tanmay Jaiswal, Anil Mokhade
https://arxiv.org/abs/2507.17759

DHMS: A Digital Hostel Management System Integrating Campus ChatBot, Predictive Intelligence, and Real-Time Automation
Traditional hostel management practices in academic institutions often suffer from inefficiencies, delays, and fragmented communication. These systems fail to meet the expectations of digitally native students and place a significant operational burden on hostel staff. This paper introduces DHMS (Digital Hostel Management System), a modular and integrated platform designed to digitize and streamline essential hostel management functions. DHMS leverages modern web technologies, artificial intell…

Especially since the "AI" bubble keeps focusing (through defense tech and supposed "workflow automation") on the governments of the world as bagholders.
https://tldr.nettime.org/@tante/115066177879999756

Automation, AI, and the Intergenerational Transmission of Knowledge
Enrique Ide
https://arxiv.org/abs/2507.16078 https://arxiv.org/pdf/2507.16078

Automation, AI, and the Intergenerational Transmission of Knowledge
Recent advances in Artificial Intelligence (AI) have fueled predictions of unprecedented productivity growth. Yet, by enabling senior workers to perform more tasks on their own, AI may inadvertently reduce entry-level opportunities, raising concerns about how future generations will acquire essential skills. In this paper, I develop a model to examine how advanced automation affects the intergenerational transmission of knowledge. The analysis reveals that automating entry-level tasks yields im…

Design Automation in Quantum Error Correction
Archisman Ghosh, Avimita Chatterjee, Swaroop Ghosh
https://arxiv.org/abs/2507.12253 https://

Design Automation in Quantum Error Correction
Quantum error correction (QEC) underpins practical fault-tolerant quantum computing (FTQC) by addressing the fragility of quantum states and mitigating decoherence-induced errors. As quantum devices scale, integrating robust QEC protocols is imperative to suppress logical error rates below threshold and ensure reliable operation, though current frameworks suffer from substantial qubit overheads and hardware inefficiencies. Design automation in the QEC flow is thus critical, enabling automated s…

@… Lots of PRs are only annoying if the automation is bad.

Learn from previous runs to improve future automation and save plans in a gallery for reuse.
🔀 Parallel execution
Run multiple tasks simultaneously with status indicators for efficient workflow management.
🌐 Web automation
Browse websites, fill forms, navigate deep sites not indexed by search engines, with real-time browser view.
💻 Code execution
Generate and execute code alongside web browsing for comprehensive task automation capabilities.
🔗

Combined Stochastic and Robust Optimization for Electric Autonomous Mobility-on-Demand with Nested Benders Decomposition
Sten Elling Tingstad Jacobsen, Bal\'azs Kulcs\'ar, Anders Lindman
https://arxiv.org/abs/2508.19933

Combined Stochastic and Robust Optimization for Electric Autonomous Mobility-on-Demand with Nested Benders Decomposition
The electrification and automation of mobility are reshaping how cities operate on-demand transport systems. Managing Electric Autonomous Mobility-on-Demand (EAMoD) fleets effectively requires coordinating dispatch, rebalancing, and charging decisions under multiple uncertainties, including travel demand, travel time, energy consumption, and charger availability. We address this challenge with a combined stochastic and robust model predictive control (MPC) framework. The framework integrates sp…

NetIntent: Leveraging Large Language Models for End-to-End Intent-Based SDN Automation
Md. Kamrul Hossain, Walid Aljoby
https://arxiv.org/abs/2507.14398 ht…

NetIntent: Leveraging Large Language Models for End-to-End Intent-Based SDN Automation
Intent-Based Networking (IBN) often leverages the programmability of Software-Defined Networking (SDN) to simplify network management. However, significant challenges remain in automating the entire pipeline, from user-specified high-level intents to device-specific low-level configurations. Existing solutions often rely on rigid, rule-based translators and fixed APIs, limiting extensibility and adaptability. By contrast, recent advances in large language models (LLMs) offer a promising pathway…

Leveraging Cloud-Fog Automation for Autonomous Collision Detection and Classification in Intelligent Unmanned Surface Vehicles
Thien Tran, Quang Nguyen, Jonathan Kua, Minh Tran, Toan Luu, Thuong Hoang, Jiong Jin
https://arxiv.org/abs/2506.18024

Leveraging Cloud-Fog Automation for Autonomous Collision Detection and Classification in Intelligent Unmanned Surface Vehicles
Industrial Cyber-Physical Systems (ICPS) technologies are foundational in driving maritime autonomy, particularly for Unmanned Surface Vehicles (USVs). However, onboard computational constraints and communication latency significantly restrict real-time data processing, analysis, and predictive modeling, hence limiting the scalability and responsiveness of maritime ICPS. To overcome these challenges, we propose a distributed Cloud-Edge-IoT architecture tailored for maritime ICPS by leveraging d…

AI Agents for Photonic Integrated Circuit Design Automation
Ankita Sharma, YuQi Fu, Vahid Ansari, Rishabh Iyer, Fiona Kuang, Kashish Mistry, Raisa Islam Aishy, Sara Ahmad, Joaquin Matres, Dirk R. Englund, Joyce K. S. Poon
https://arxiv.org/abs/2508.14123

AI Agents for Photonic Integrated Circuit Design Automation
We present Photonics Intelligent Design and Optimization (PhIDO), a multi-agent framework that converts natural-language photonic integrated circuit (PIC) design requests into layout mask files. We compare 7 reasoning large language models for PhIDO using a testbench of 102 design descriptions that ranged from single devices to 112-component PICs. The success rate for single-device designs was up to 91%. For design queries with less than or equal to 15 components, o1, Gemini-2.5-pro, and Claude…

Blackstone agrees to acquire a majority stake in NetBrain, valuing the Burlington, Massachusetts-based network operations and automation company at $750M (Ryan Gould/Bloomberg)
https://www.bloomberg.com/news/articles/2025-07-…

Mobile-Agent-v3: Foundamental Agents for GUI Automation
Jiabo Ye, Xi Zhang, Haiyang Xu, Haowei Liu, Junyang Wang, Zhaoqing Zhu, Ziwei Zheng, Feiyu Gao, Junjie Cao, Zhengxi Lu, Jitong Liao, Qi Zheng, Fei Huang, Jingren Zhou, Ming Yan
https://arxiv.org/abs/2508.15144

Mobile-Agent-v3: Foundamental Agents for GUI Automation
This paper introduces GUI-Owl, a foundational GUI agent model that achieves state-of-the-art performance among open-source end-to-end models on ten GUI benchmarks across desktop and mobile environments, covering grounding, question answering, planning, decision-making, and procedural knowledge. GUI-Owl-7B achieves 66.4 on AndroidWorld and 29.4 on OSWorld. Building on this, we propose Mobile-Agent-v3, a general-purpose GUI agent framework that further improves performance to 73.3 on AndroidWorld…

Localization using Angle-of-Arrival Triangulation
Amod K. Agrawal
https://arxiv.org/abs/2508.16908 https://arxiv.org/pdf/2508.16908

Localization using Angle-of-Arrival Triangulation
Indoor localization is a long-standing challenge in mobile computing, with significant implications for enabling location-aware and intelligent applications within smart environments such as homes, offices, and retail spaces. As AI assistants such as Amazon Alexa and Google Nest become increasingly pervasive, microphone-equipped devices are emerging as key components of everyday life and home automation. This paper introduces a passive, infrastructure-light system for localizing human speakers …

AI is just a tool, like a pencil. A pencil that can only write and draw what some faceless corporation somewhere allows you to write and draw.
#AI #theMastersTools

Insights from Railway Professionals: Rethinking Railway assumptions regarding safety and autonomy
Josh Hunter, John McDermid, Simon Burton
https://arxiv.org/abs/2507.17756 https…

Insights from Railway Professionals: Rethinking Railway assumptions regarding safety and autonomy
This study investigates how railway professionals perceive safety as a concept within rail, with the intention to help inform future technological developments within the industry. Through a series of interviews with drivers, route planners,and administrative personnel, the research explores the currentstate of safety practices, the potential for automation and the understanding of the railway as a system of systems. Key findings highlight a cautious attitude towards automation, a preference fo…

🌟 New SIGs Spotlight: SIG-AI 🌟
A new space for collaboration on Artificial Intelligence within the NREN community is here.
SIG-AI brings the Research & Education community together to share expertise, best practices, and explore practical use cases of AI in NREN context—from cybersecurity and High-Performance Computing (HPC) to network automation and next-generation networks.
📖 For more insights, read the full interview with Leonie Schäfer (@…

Formal Analysis of Networked PLC Controllers Interacting with Physical Environments
Jaeseo Lee, Kyungmin Bae
https://arxiv.org/abs/2507.15596 https://

Formal Analysis of Networked PLC Controllers Interacting with Physical Environments
Programmable Logic Controllers (PLCs) are widely used in industrial automation to control physical systems. As PLC applications become increasingly complex, ensuring their correctness is crucial. Existing formal verification techniques focus on individual PLC programs in isolation, often neglecting interactions with physical environments and network communication between controllers. This limitation poses significant challenges in analyzing real-world industrial systems, where continuous dynami…

A Reduction of Input/Output Logics to SAT
Alexander Steen
https://arxiv.org/abs/2508.16242 https://arxiv.org/pdf/2508.16242

A Reduction of Input/Output Logics to SAT
Deontic logics are formalisms for reasoning over norms, obligations, permissions and prohibitions. Input/Output (I/O) Logics are a particular family of so-called norm-based deontic logics that formalize conditional norms outside of the underlying object logic language, where conditional norms do not carry a truth-value themselves. In this paper, an automation approach for I/O logics is presented that makes use of suitable reductions to (sequences of) propositional satisfiability problems. A pro…

CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency
Zhanming Shen, Hao Chen, Yulei Tang, Shaolin Zhu, Wentao Ye, Xiaomeng Hu, Haobo Wang, Gang Chen, Junbo Zhao
https://arxiv.org/abs/2508.16100

CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency
Instruction tuning is vital for aligning large language models (LLMs) with human intent, but current methods typically rely on costly human-annotated seed data or powerful external teacher models. While instruction back-translation techniques reduce this dependency, they remain fundamentally tethered to an initial seed set, which limits full automation, introduces biases, and can lead to inefficient use of unlabeled corpora. In this paper, we propose Cycle-Instruct, a novel framework that achie…

Code Difference Guided Fuzzing for FPGA Logic Synthesis Compilers via Bayesian Optimization
Zhihao Xu, Shikai Guo, Guilin Zhao, Peiyu Zou, Siwen Wang, Qian Ma, Hui Li, Furui Zhan
https://arxiv.org/abs/2508.17713

Code Difference Guided Fuzzing for FPGA Logic Synthesis Compilers via Bayesian Optimization
Field Programmable Gate Arrays (FPGAs) play a crucial role in Electronic Design Automation (EDA) applications, which have been widely used in safety-critical environments, including aerospace, chip manufacturing, and medical devices. A critical step in FPGA development is logic synthesis, which enables developers to translate their software designs into hardware net lists, which facilitates the physical implementation of the chip, detailed timing and power analysis, gate-level simulation, test …

$AutoGuardX$: A Comprehensive Cybersecurity Framework for Connected Vehicles
Muhammad Ali Nadeem, Bishwo Prakash Pokharel, Naresh Kshetri, Achyut Shankar, Gokarna Sharma
https://arxiv.org/abs/2508.18155

$AutoGuardX$: A Comprehensive Cybersecurity Framework for Connected Vehicles
The rapid integration of Internet of Things (IoT) and interconnected systems in modern vehicles not only introduced a new era of convenience, automation, and connected vehicles but also elevated their exposure to sophisticated cyber threats. This is especially evident in US and Canada, where cyber-enabled auto theft has surged in recent years, revealing the limitations of existing security measures for connected vehicles. In response, this paper proposes $AutoGuardX$, a comprehensive cybersecur…

Don't miss our Sylius meetup on June 26th!
Register now and secure your spot: #php

PHPUGMRN 03/25 (The Sylius Meetup), Thu, Jun 26, 2025, 7:00 PM | Meetup
**Agenda:** 19:00 CET - Intro 19:05 CET - Brille24 - Post Mortem, Max Pesch 19:50 CET - Break 20:00 CET - Sylius & Automation, let's dive in!, Jacques Bodin-Hullin 20:50 CE

Thoma Bravo buys customer service automation software provider Verint for $1.23B in cash, days after its $12.3B purchase of HR software provider Dayforce (Ryan Gould/Bloomberg)
https://www.bloomberg.com/news/articles/2025-08-25/tho…

DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering
Yinsheng Li, Zhen Dong, Yi Shao
https://arxiv.org/abs/2507.11527

DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering
Large Language Model (LLM) agents have shown great potential for solving real-world problems and promise to be a solution for tasks automation in industry. However, more benchmarks are needed to systematically evaluate automation agents from an industrial perspective, for example, in Civil Engineering. Therefore, we propose DrafterBench for the comprehensive evaluation of LLM agents in the context of technical drawing revision, a representation task in civil engineering. DrafterBench contains t…

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models
Dipayan Saha, Shams Tarek, Hasan Al Shaikh, Khan Thamid Hasan, Pavan Sai Nalluri, Md. Ajoad Hasan, Nashmin Alam, Jingbo Zhou, Sujan Kumar Saha, Mark Tehranipoor, Farimah Farahmandi
https://arxiv.org/abs/2506.20415…

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models
Ensuring the security of complex system-on-chips (SoCs) designs is a critical imperative, yet traditional verification techniques struggle to keep pace due to significant challenges in automation, scalability, comprehensiveness, and adaptability. The advent of large language models (LLMs), with their remarkable capabilities in natural language understanding, code generation, and advanced reasoning, presents a new paradigm for tackling these issues. Moving beyond monolithic models, an agentic ap…

Intent-Based Network for RAN Management with Large Language Models
Fransiscus Asisi Bimo, Maria Amparo Canaveras Galdon, Chun-Kai Lai, Ray-Guang Cheng, Edwin K. P. Chong
https://arxiv.org/abs/2507.14230

Intent-Based Network for RAN Management with Large Language Models
Advanced intelligent automation becomes an important feature to deal with the increased complexity in managing wireless networks. This paper proposes a novel automation approach of intent-based network for Radio Access Networks (RANs) management by leveraging Large Language Models (LLMs). The proposed method enhances intent translation, autonomously interpreting high-level objectives, reasoning over complex network states, and generating precise configurations of the RAN by integrating LLMs wit…

Previously on... Automating Code Review
Robert Heum\"uller, Frank Ortmeier
https://arxiv.org/abs/2508.18003 https://arxiv.org/pdf/2508.18003

Previously on... Automating Code Review
Modern Code Review (MCR) is a standard practice in software engineering, yet it demands substantial time and resource investments. Recent research has increasingly explored automating core review tasks using machine learning (ML) and deep learning (DL). As a result, there is substantial variability in task definitions, datasets, and evaluation procedures. This study provides the first comprehensive analysis of MCR automation research, aiming to characterize the field's evolution, formalize lear…

How German delivery giant DHL uses automation and AI to help offset an ageing workforce, with one in three support staff set to retire in the next five years (Andrew Hill/Financial Times)
https://www.ft.com/content/ce09786f-2481-44fe-957c-f7bb0b43e284

MMReview: A Multidisciplinary and Multimodal Benchmark for LLM-Based Peer Review Automation
Xian Gao, Jiacheng Ruan, Zongyun Zhang, Jingsheng Gao, Ting Liu, Yuzhuo Fu
https://arxiv.org/abs/2508.14146

MMReview: A Multidisciplinary and Multimodal Benchmark for LLM-Based Peer Review Automation
With the rapid growth of academic publications, peer review has become an essential yet time-consuming responsibility within the research community. Large Language Models (LLMs) have increasingly been adopted to assist in the generation of review comments; however, current LLM-based review tasks lack a unified evaluation benchmark to rigorously assess the models' ability to produce comprehensive, accurate, and human-aligned assessments, particularly in scenarios involving multimodal content suc…

FedChip: Federated LLM for Artificial Intelligence Accelerator Chip Design
Mahmoud Nazzal, Khoa Nguyen, Deepak Vungarala, Ramtin Zand, Shaahin Angizi, Hai Phan, Abdallah Khreishah
https://arxiv.org/abs/2508.13162

FedChip: Federated LLM for Artificial Intelligence Accelerator Chip Design
AI hardware design is advancing rapidly, driven by the promise of design automation to make chip development faster, more efficient, and more accessible to a wide range of users. Amongst automation tools, Large Language Models (LLMs) offer a promising solution by automating and streamlining parts of the design process. However, their potential is hindered by data privacy concerns and the lack of domain-specific training. To address this, we introduce FedChip, a Federated fine-tuning approach th…

I2I-STRADA -- Information to Insights via Structured Reasoning Agent for Data Analysis
SaiBarath Sundar, Pranav Satheesan, Udayaadithya Avadhanam
https://arxiv.org/abs/2507.17874

I2I-STRADA -- Information to Insights via Structured Reasoning Agent for Data Analysis
Recent advances in agentic systems for data analysis have emphasized automation of insight generation through multi-agent frameworks, and orchestration layers. While these systems effectively manage tasks like query translation, data transformation, and visualization, they often overlook the structured reasoning process underlying analytical thinking. Reasoning large language models (LLMs) used for multi-step problem solving are trained as general-purpose problem solvers. As a result, their rea…

LLMind 2.0: Distributed IoT Automation with Natural Language M2M Communication and Lightweight LLM Agents
Yuyang Du, Qun Yang, Liujianfu Wang, Jingqi Lin, Hongwei Cui, Soung Chang Liew
https://arxiv.org/abs/2508.13920

LLMind 2.0: Distributed IoT Automation with Natural Language M2M Communication and Lightweight LLM Agents
Recent advances in large language models (LLMs) have sparked interest in their application to IoT and automation systems, particularly for facilitating device management through natural language instructions. However, existing centralized approaches face significant scalability challenges when managing and coordinating the collaboration between IoT devices of diverse capabilities in large-scale heterogeneous IoT systems. This paper introduces LLMind 2.0, a distributed IoT automation framework t…

Intelligent Automation for FDI Facilitation: Optimizing Tariff Exemption Processes with OCR And Large Language Models
Muhammad Sukri Bin Ramli
https://arxiv.org/abs/2506.12093

Intelligent Automation for FDI Facilitation: Optimizing Tariff Exemption Processes with OCR And Large Language Models
Tariff exemptions are fundamental to attracting Foreign Direct Investment (FDI) into the manufacturing sector, though the associated administrative processes present areas for optimization for both investing entities and the national tax authority. This paper proposes a conceptual framework to empower tax administration by leveraging a synergistic integration of Optical Character Recognition (OCR) and Large Language Model (LLM) technologies. The proposed system is designed to first utilize OCR …

DEV: A Driver-Environment-Vehicle Closed-Loop Framework for Risk-Aware Adaptive Automation of Driving
Ana\"is Halin, Christel Devue, Marc Van Droogenbroeck
https://arxiv.org/abs/2508.10618

DEV: A Driver-Environment-Vehicle Closed-Loop Framework for Risk-Aware Adaptive Automation of Driving
The increasing integration of automation in vehicles aims to enhance both safety and comfort, but it also introduces new risks, including driver disengagement, reduced situation awareness, and mode confusion. In this work, we propose the DEV framework, a closed-loop framework for risk-aware adaptive driving automation that captures the dynamic interplay between the driver, the environment, and the vehicle. The framework promotes to continuously adjusting the operational level of automation base…

Cognitive Agents Powered by Large Language Models for Agile Software Project Management
Konrad Cinkusz, Jaros{\l}aw A. Chudziak, Ewa Niewiadomska-Szynkiewicz
https://arxiv.org/abs/2508.16678

Cognitive Agents Powered by Large Language Models for Agile Software Project Management
This paper investigates the integration of cognitive agents powered by Large Language Models (LLMs) within the Scaled Agile Framework (SAFe) to reinforce software project management. By deploying virtual agents in simulated software environments, this study explores their potential to fulfill fundamental roles in IT project development, thereby optimizing project outcomes through intelligent automation. Particular emphasis is placed on the adaptability of these agents to Agile methodologies and…

Robotic System for Chemical Experiment Automation with Dual Demonstration of End-effector and Jig Operations
Hikaru Sasaki, Naoto Komeno, Takumi Hachimine, Kei Takahashi, Yu-ya Ohnishi, Tetsunori Sugawara, Araki Wakiuchi, Miho Hatanaka, Tomoyuki Miyao, Hiroharu Ajiro, Mikiya Fujii, Takamitsu Matsubara
https://arxiv.org/abs/2506.…

Robotic System for Chemical Experiment Automation with Dual Demonstration of End-effector and Jig Operations
While robotic automation has demonstrated remarkable performance, such as executing hundreds of experiments continuously over several days, it is challenging to design a program that synchronizes the robot's movements with the experimental jigs to conduct an experiment. We propose a concept that enables the automation of experiments by utilizing dual demonstrations of robot motions and jig operations by chemists in an experimental environment constructed to be controlled by a robot. To verify t…

Pactum, which helps companies automate supplier negotiations with AI and secure more favorable contractual terms, raised a $54M Series C led by Insight Partners (Maria Deutscher/SiliconANGLE)
https://siliconangle.com/2025/06/09/pactum-raises-…

Pactum raises $54M for its procurement automation platform - SiliconANGLE
Pactum raises $54M for its procurement automation platform - SiliconANGLE

ARCADE: A RAN Diagnosis Methodology in a Hybrid AI Environment for 6G Networks
Daniel Ricardo Cunha Oliveira, Rodrigo Moreira, Fl\'avio de Oliveira Silva
https://arxiv.org/abs/2507.17861

ARCADE: A RAN Diagnosis Methodology in a Hybrid AI Environment for 6G Networks
Artificial Intelligence (AI) plays a key role in developing 6G networks. While current specifications already include Network Data Analytics Function (NWDAF) as a network element responsible for providing information about the core, a more comprehensive approach will be needed to enable automation of network segments that are not yet fully explored in the context of 5G. In this paper, we present Automated Radio Coverage Anomalies Detection and Evaluation (ARCADE), a methodology for identifying …

Join us on June 26th in Mannheim for the Sylius meetup! We have an exciting lineup of speakers, including Max Pesch, who will share a post-mortem analysis of Brille24, Jacques Bodin-Hullin, who will dive into Sylius and automation, and Stephan Hochdörfer, who will introduce the Sylius stack.
Register here: https://www.

PHPUGMRN 03/25 (The Sylius Meetup), Thu, Jun 26, 2025, 7:00 PM | Meetup
**Agenda:** 19:00 CET - Intro 19:05 CET - Brille24 - Post Mortem, Max Pesch 19:50 CET - Break 20:00 CET - Sylius & Automation, let's dive in!, Jacques Bodin-Hullin 20:50 CE

Human-AI Co-Creation: A Framework for Collaborative Design in Intelligent Systems
Zhangqi Liu
https://arxiv.org/abs/2507.17774 https://arxiv.org/pdf/2507.1…

Human-AI Co-Creation: A Framework for Collaborative Design in Intelligent Systems
As artificial intelligence (AI) continues to evolve from a back-end computational tool into an interactive, generative collaborator, its integration into early-stage design processes demands a rethinking of traditional workflows in human-centered design. This paper explores the emergent paradigm of human-AI co-creation, where AI is not merely used for automation or efficiency gains, but actively participates in ideation, visual conceptualization, and decision-making. Specifically, we investigat…

Toward an Intent-Based and Ontology-Driven Autonomic Security Response in Security Orchestration Automation and Response
Zequan Huang, Jacques Robin, Nicolas Herbaut, Nourh\`ene Ben Rabah, B\'en\'edicte Le Grand
https://arxiv.org/abs/2507.12061

Toward an Intent-Based and Ontology-Driven Autonomic Security Response in Security Orchestration Automation and Response
Modern Security Orchestration, Automation, and Response (SOAR) platforms must rapidly adapt to continuously evolving cyber attacks. Intent-Based Networking has emerged as a promising paradigm for cyber attack mitigation through high-level declarative intents, which offer greater flexibility and persistency than procedural actions. In this paper, we bridge the gap between two active research directions: Intent-Based Cyber Defense and Autonomic Cyber Defense, by proposing a unified, ontology-driv…

A Systematic Mapping Study on Smart Cities Modeling Approaches
Maria Teresa Rossi, Martina De Sanctis, Ludovico Iovino, Manuel Wimmer
https://arxiv.org/abs/2508.16273 https://…

A Systematic Mapping Study on Smart Cities Modeling Approaches
The Smart City concept was introduced to define an idealized city characterized by automation and connection. It then evolved rapidly by including further aspects, such as economy, environment. Since then, many publications have explored various aspects of Smart Cities across different application domains and research communities, acknowledging the interdisciplinary nature of this subject. In particular, our interest focuses on how smart cities are designed and modeled, as a whole or as regards…

Talk with the Things: Integrating LLMs into IoT Networks
Alakesh Kalita
https://arxiv.org/abs/2507.17865 https://arxiv.org/pdf/2507.17865

Talk with the Things: Integrating LLMs into IoT Networks
The convergence of Large Language Models (LLMs) and Internet of Things (IoT) networks open new opportunities for building intelligent, responsive, and user-friendly systems. This work presents an edge-centric framework that integrates LLMs into IoT architectures to enable natural language-based control, context-aware decision-making, and enhanced automation. The proposed modular and lightweight Retrieval Augmented Generation (RAG)-based LLMs are deployed on edge computing devices connected to I…

Mechanical Automation with Vision: A Design for Rubik's Cube Solver
Abhinav Chalise, Nimesh Gopal Pradhan, Nishan Khanal, Prashant Raj Bista, Dinesh Baniya Kshatri
https://arxiv.org/abs/2508.12469 …

Mechanical Automation with Vision: A Design for Rubik's Cube Solver
The core mechanical system is built around three stepper motors for physical manipulation, a microcontroller for hardware control, a camera and YOLO detection model for real-time cube state detection. A significant software component is the development of a user-friendly graphical user interface (GUI) designed in Unity. The initial state after detection from real-time YOLOv8 model (Precision 0.98443, Recall 0.98419, Box Loss 0.42051, Class Loss 0.2611) is virtualized on GUI. To get the solution…

DHL, UPS, FedEx, and Walmart are using robots to boost warehouse efficiency and cut costs, including automating the physically demanding task of loading trucks (Esther Fung/Wall Street Journal)
https://www.

SheetMind: An End-to-End LLM-Powered Multi-Agent Framework for Spreadsheet Automation
Ruiyan Zhu, Xi Cheng, Ke Liu, Brian Zhu, Daniel Jin, Neeraj Parihar, Zhoutian Xu, Oliver Gao
https://arxiv.org/abs/2506.12339

SheetMind: An End-to-End LLM-Powered Multi-Agent Framework for Spreadsheet Automation
We present SheetMind, a modular multi-agent framework powered by large language models (LLMs) for spreadsheet automation via natural language instructions. The system comprises three specialized agents: a Manager Agent that decomposes complex user instructions into subtasks; an Action Agent that translates these into structured commands using a Backus Naur Form (BNF) grammar; and a Reflection Agent that validates alignment between generated actions and the user's original intent. Integrated int…

Automated Code Review Using Large Language Models with Symbolic Reasoning
Busra Icoz, Goksel Biricik
https://arxiv.org/abs/2507.18476 https://arxiv.org/pdf…

Automated Code Review Using Large Language Models with Symbolic Reasoning
Code review is one of the key processes in the software development lifecycle and is essential to maintain code quality. However, manual code review is subjective and time consuming. Given its rule-based nature, code review is well suited for automation. In recent years, significant efforts have been made to automate this process with the help of artificial intelligence. Recent developments in Large Language Models (LLMs) have also emerged as a promising tool in this area, but these models ofte…

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[3/3]:
- CRISPR-GPT for Agentic Automation of Gene-editing Experiments
Qu, Huang, Yin, Zhan, Liu, Yin, Cousins, Johnson, Wang, Shah, Altman, Zhou, Wang, Cong

Taming Uncertainty via Automation: Observing, Analyzing, and Optimizing Agentic AI Systems
Dany Moshkovich, Sergey Zeltyn
https://arxiv.org/abs/2507.11277 …

Taming Uncertainty via Automation: Observing, Analyzing, and Optimizing Agentic AI Systems
Large Language Models (LLMs) are increasingly deployed within agentic systems-collections of interacting, LLM-powered agents that execute complex, adaptive workflows using memory, tools, and dynamic planning. While enabling powerful new capabilities, these systems also introduce unique forms of uncertainty stemming from probabilistic reasoning, evolving memory states, and fluid execution paths. Traditional software observability and operations practices fall short in addressing these challenges…

Toward General Physical Intelligence for Resilient Agile Manufacturing Automation
Sandeep Kanta, Mehrdad Tavassoli, Varun Teja Chirkuri, Venkata Akhil Kumar, Santhi Bharath Punati, Praveen Damacharla, Sunny Katyara
https://arxiv.org/abs/2508.11960

Toward General Physical Intelligence for Resilient Agile Manufacturing Automation
Agile and human-centric manufacturing stipulates resilient robotic solutions capable of contextual reasoning and safe interaction in unstructured environments. Foundation models particularly the Vision Language Action (VLA) models have emerged to fuse multimodal perception, reasoning and physically grounded action across varied embodiments into unified representation, termed as General Physical Intelligence (GPI). While GPI has already been described in the literature but its practical applicat…

Supporting Deterministic Traffic on Standard NICs
Chuanyu Xue, Tianyu Zhang, Andrew Loveless, Song Han
https://arxiv.org/abs/2506.17877 https://

Supporting Deterministic Traffic on Standard NICs
Networked mission-critical applications (e.g., avionic control and industrial automation systems) require deterministic packet transmissions to support a range of sensing and control tasks with stringent timing constraints. While specialized network infrastructure (e.g., time-sensitive networking (TSN) switches) provides deterministic data transport across the network, achieving strict end-to-end timing guarantees requires equally capable end devices to support deterministic traffic. These end …

Autonomous Control Leveraging LLMs: An Agentic Framework for Next-Generation Industrial Automation
Javal Vyas, Mehmet Mercangoz
https://arxiv.org/abs/2507.07115

Autonomous Control Leveraging LLMs: An Agentic Framework for Next-Generation Industrial Automation
The increasing complexity of modern chemical processes, coupled with workforce shortages and intricate fault scenarios, demands novel automation paradigms that blend symbolic reasoning with adaptive control. In this work, we introduce a unified agentic framework that leverages large language models (LLMs) for both discrete fault-recovery planning and continuous process control within a single architecture. We adopt Finite State Machines (FSMs) as interpretable operating envelopes: an LLM-driven…

Navigating the growing field of research on AI for software testing -- the taxonomy for AI-augmented software testing and an ontology-driven literature survey
Ina K. Schieferdecker
https://arxiv.org/abs/2506.14640

Navigating the growing field of research on AI for software testing -- the taxonomy for AI-augmented software testing and an ontology-driven literature survey
In industry, software testing is the primary method to verify and validate the functionality, performance, security, usability, and so on, of software-based systems. Test automation has gained increasing attention in industry over the last decade, following decades of intense research into test automation and model-based testing. However, designing, developing, maintaining and evolving test automation is a considerable effort. Meanwhile, AI's breakthroughs in many engineering fields are opening…

AutoGraph: A Knowledge-Graph Framework for Modeling Interface Interaction and Automating Procedure Execution in Digital Nuclear Control Rooms
Xingyu Xiao, Jiejuan Tong, Jun Sun, Zhe Sui, Jingang Liang, Hongru Zhao, Jun Zhao, Haitao Wang
https://arxiv.org/abs/2506.18727

AutoGraph: A Knowledge-Graph Framework for Modeling Interface Interaction and Automating Procedure Execution in Digital Nuclear Control Rooms
Digitalization in nuclear power plant (NPP) control rooms is reshaping how operators interact with procedures and interface elements. However, existing computer-based procedures (CBPs) often lack semantic integration with human-system interfaces (HSIs), limiting their capacity to support intelligent automation and increasing the risk of human error, particularly under dynamic or complex operating conditions. In this study, we present AutoGraph, a knowledge-graph-based framework designed to form…

From Text to Actionable Intelligence: Automating STIX Entity and Relationship Extraction
Ahmed Lekssays, Husrev Taha Sencar, Ting Yu
https://arxiv.org/abs/2507.16576

From Text to Actionable Intelligence: Automating STIX Entity and Relationship Extraction
Sharing methods of attack and their effectiveness is a cornerstone of building robust defensive systems. Threat analysis reports, produced by various individuals and organizations, play a critical role in supporting security operations and combating emerging threats. To enhance the timeliness and automation of threat intelligence sharing, several standards have been established, with the Structured Threat Information Expression (STIX) framework emerging as one of the most widely adopted. Howeve…

LLM-as-a-Judge for Reference-less Automatic Code Validation and Refinement for Natural Language to Bash in IT Automation
Ngoc Phuoc An Vo, Brent Paulovicks, Vadim Sheinin
https://arxiv.org/abs/2506.11237

LLM-as-a-Judge for Reference-less Automatic Code Validation and Refinement for Natural Language to Bash in IT Automation
In an effort to automatically evaluate and select the best model and improve code quality for automatic incident remediation in IT Automation, it is crucial to verify if the generated code for remediation action is syntactically and semantically correct and whether it can be executed correctly as intended. There are three approaches: 1) conventional methods use surface form similarity metrics (token match, exact match, etc.) which have numerous limitations, 2) execution-based evaluation focuses…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/5]:
- CRISPR-GPT for Agentic Automation of Gene-editing Experiments
Qu, Huang, Yin, Zhan, Liu, Yin, Cousins, Johnson, Wang, Shah, Altman, Zhou, Wang, Cong

Commure, which provides ambient AI, revenue cycle management, and workflow automation tools for healthcare providers, raised $200M from General Catalyst (Erin Brodwin/Axios)
https://www.axios.com/pro/health-tech-deals/2025/06/19/commure-…

Commure raises $200M from GC's marketing fund
The company's CEO says it may also raise another round of capital later this year.

NYC-based Tennr, which uses AI document parsing and workflow automation to cut patient waiting times, raised a $101M Series C led by IVP at a $605M valuation (Leo Schwartz/Fortune)
https://fortune.com/2025/06/18/tennr-healt…

Exclusive: Health tech startup Tennr raises $101 million at $605 million valuation to fix the patient referral process
Venture firm IVP led the round along with existing investors Andreessen Horowitz, Lightspeed, and Iconiq.

MLLM-Based UI2Code Automation Guided by UI Layout Information
Fan Wu, Cuiyun Gao, Shuqing Li, Xin-Cheng Wen, Qing Liao
https://arxiv.org/abs/2506.10376 htt…

MLLM-Based UI2Code Automation Guided by UI Layout Information
Converting user interfaces into code (UI2Code) is a crucial step in website development, which is time-consuming and labor-intensive. The automation of UI2Code is essential to streamline this task, beneficial for improving the development efficiency. There exist deep learning-based methods for the task; however, they heavily rely on a large amount of labeled training data and struggle with generalizing to real-world, unseen web page designs. The advent of Multimodal Large Language Models (MLLMs…

Q&A with Taskrabbit CEO Ania Smith on the Ikea-owned platform's history, Taskers earning up to $50/hour, AI assistants, zero fees, high suburban use, and more (Nilay Patel/The Verge)
https://www.theverge.com/decoder-podcast-…

Taskrabbit CEO Ania Smith isn’t afraid of AI robots replacing human labor
The head of the Ikea-owned gig work platform on what labor looks like in the future.

How AI and automation are transforming agriculture, enabling autonomous tractors and fruit-picking robots, and improving crop management via data and analytics (William Boston/Wall Street Journal)
https://www.wsj.com/tech/autonomous-farmin

Behavior Driven Development for 3D Games
Fernando Pastor Ric\'os, Beatriz Mar\'in, I. S. W. B. Prasetya, Tanja E. J. Vos, Joseph Davidson, Karel Hovorka
https://arxiv.org/abs/2506.17057

Behavior Driven Development for 3D Games
Computer 3D games are complex software environments that require novel testing processes to ensure high-quality standards. The Intelligent Verification/Validation for Extended Reality Based Systems (iv4XR) framework addresses this need by enabling the implementation of autonomous agents to automate game testing scenarios. This framework facilitates the automation of regression test cases for complex 3D games like Space Engineers. Nevertheless, the technical expertise required to define test scr…

Studies: women are 25% less likely than men to have basic digital skills, are more likely to be in automation-threatened jobs, and use ChatGPT less at work (Isabel Berwick/Financial Times)
https://www.ft.com/content/7f0fbd7d-011a-448d-9d23-8a8db2006df4

Women are lagging behind on AI but they can catch up
Curiosity, experimentation and learning are crucial if women are to shape the future of work

Hadrian, which is building largely automated factories to produce space and defense parts, raised a $260M Series C, bringing its total funding to ~$500M (Aria Alamalhodaei/TechCrunch)
https://techcrunch.com/2025/07/17/hadria…

Hadrian raises $260M to build out automated factories for space and defense parts | TechCrunch
Hadrian wants to revolutionize American manufacturing through automation.

In March, New York added a checkbox to its WARN system for companies to show if "technological innovation or automation", like AI, was a reason for mass layoffs (Bloomberg)
https://www.bloomberg.com/news/newsletters

A look at Walmart's use of automation to grow sales without adding staff, as analysts say its efforts raise questions about the future of US retail labor (Gregory Meyer/Financial Times)
https://www.ft.com/content/5be70b28-018d-42d7-af8d-ea5a4bed4d44

Walmart is supercharging revenue — but with fewer workers
Growth in ecommerce and automation sparks questions about future of retail sector’s labour force