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1,000 jobs at risk at Asda at it invests in robotics and automation
1,000 jobs at risk at Asda at it invests in robotics and automation A spokesperson for Asda said the company remains focused on supporting affected staff Asda is set to cut up to 1,000 jobs as it accelerates the use of automation and robotics across its warehouse operations. The supermarket giant is planning a major restructuring of its logistics network, which will see more roles replaced or reshaped by automated systems. The move forms part of a wider overhaul of Asda ’s George clothing...
Launch HN: Intuned (YC S22) – Build and run reliable browser automations as code
Hey HN, we're Faisal and Ahmad from Intuned (https://intunedhq.com). We’re building a platform for building, deploying, and maintaining browser automations. Customers primarily use the Intuned AI agent to automate websites that don't expose APIs.
Co-evolving Agent Architectures and Interpretable Reasoning for Automated Optimization
arXiv:2604.17708v2 Announce Type: replace Abstract: Automating operations research (OR) with large language models (LLMs) remains limited by hand-crafted reasoning--execution workflows. Complex OR tasks require adaptive coordination among problem interpretation, mathematical formulation, solver selection, code generation, and iterative debugging. To address this limitation, we propose EvoOR-Agent, a co-evolutionary framework for automated optimization.
Analysis:High-profile Instagram AI chatbot breach spotlights security risks of automation
Analysis:High-profile Instagram AI chatbot breach spotlights security risks of automation June 3 : An Instagram hack that saw attackers talk Meta's AI support chatbot into handing over access to high-profile accounts has exposed a critical flaw at the heart of the company's push to automate sensitive user functions. The breach allowed hackers to seize accounts including the dormant Obama White House page, beauty retailer Sephora and a senior U.S. Space Force official. The chatbot was...
RAT: RunAnyThing via Fully Automated Environment Configuration
arXiv:2604.23190v2 Announce Type: replace Abstract: Automating repository-level software engineering tasks is a foundational challenge for autonomous code agents, largely due to the difficulty of configuring executable environments. However, manual configuration remains a labor-intensive bottleneck, necessitating a transition toward fully automated environment configuration. Existing approaches often rely on pre-defined artifacts or are restricted to specific programming languages, limiting...
Impact of Synthetic Lesional MR Images in Automated Focal Cortical Dysplasia Detection in Low-Data Scenarios
arXiv:2606.07381v1 Announce Type: cross Abstract: Background and Purpose: Automated detection of focal cortical dysplasia (FCD) requires large volumes of voxelwise lesion-delineated MRI data, which are difficult to acquire. This study aims to generate synthetic MRI data exhibiting FCD, assess their realism, and evaluate their impact on automated FCD detection, particularly in reducing the need for manual annotations. Methods: T1-weighted (T1w) and T2-weighted Fluid-Attenuated Inversion...
Context-Aware Workflow Decomposition for Automated Mobile UI Annotation Using Multimodal Large Language Models
arXiv:2606.02208v1 Announce Type: new Abstract: Accurate mobile user interface annotation is important for UI understanding, accessibility tools, automated testing, dataset construction, and GUI agents. However, mobile screens are difficult to annotate because they often contain small, dense, nested, and visually ambiguous elements. Multimodal large language models can help automate this process, but their outputs are sensitive to prompt design and the organization of annotation tasks.
PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback
Announce Type: new Abstract: Achieving fully automated, physically plausible 3D motion synthesis is a core objective in graphics and generative AI. However, configuring complex environmental force fields still relies entirely on manual expert intervention, creating a severe bottleneck for large-scale simulation data generation. Existing automated methods primarily focus on material optimization and exhibit severe modality gaps and technical flaws when applied to the vastly more complex force...
Pomona: Continuous Code Quality Improvement via Small, Automated Changes at Bloomberg
arXiv:2606.06752v1 Announce Type: new Abstract: In this short experience paper, we present Pomona, a lightweight agentic tool that utilises agent skills for continuous automated code quality improvement. Inspired by the philosophy of Kaizen(TM), Pomona automates a cycle of discovery and incremental repair: a Scanning skill identifies improvement tasks (e.g., linting violations, technical debt markers, and test gaps) and prioritises them in a structured backlog, while a Repair skill generates...
CiliAI: Automated segmentation and compartment specific fluorescence quantification of primary cilia in confocal microscopy images
Primary cilia regulate essential signalling pathways controlling cell proliferation, differentiation, and tissue homeostasis. Quantitative analysis of ciliary morphology and compartment-specific protein localization by confocal microscopy is labor-intensive, user-dependent, and difficult to scale, particularly for multiplexed 3D image datasets. Here, we present CiliAI, a web-based deep-learning workflow for automated detection, substructure segmentation, and quantitative analysis of primary...