Search: “manufacturing”

arXiv:2508.04175v2 Announce Type: replace Abstract: While Multimodal Large Language Models (MLLMs) demonstrate remarkable capabilities across diverse domains, their application to specialized anomaly

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Research

Certified Topological Interaction in Neural Representations: Class Disentanglement Is Mostly Pairwise

DGX agent

arXiv:2609.08561v1 Announce Type: new Abstract: Class disentanglement (the separation of a representation's class-conditional point clouds along depth and over training) is usually read off descriptiv

researcharxiv-cs-lg

9 Sept 2026

mjorbit: A Simulation Framework for Space Robotics

arXiv:2609.08010v1 Announce Type: new Abstract: This paper presents a general framework for simulating multi-body space robots with contact. We bring efficient, large-scale robot simulation to in-spac

hardwarearxiv-cs-ro

State-of-the-Art in Learning-by-Demonstration with Passive Observation for Industrial Assembly Automation

arXiv:2609.07165v1 Announce Type: new Abstract: Learning-by-Demonstration (LbD) enables intuitive robot programming by capturing expert skills, which is crucial for agility in high-mix, low- volume ma

applicationsarxiv-cs-ro

Vision: Data-Centric Anchoring for Robust and Interpretable Agentic AI

arXiv:2609.08216v1 Announce Type: cross Abstract: Agentic AI systems built on large language models fail in two persistent ways that scaling does not fix: they break under distribution shift, and they

safetyarxiv-cs-lg

Agents

ARIA - An Agentic Framework for Autonomous Testing of Infotainment Systems

arXiv:2609.04913v1 Announce Type: cross Abstract: Automotive infotainment validation still relies on manual testing, slow, costly, and incompatible with agile releases and OTA updates. Scripted automa

agentsarxiv-cs-ai

7 Sept 2026

Long Horizon Transformer Quantile Fault Prediction for Multi Site Industrial Predictive Maintenance

arXiv:2609.04840v1 Announce Type: new Abstract: Long-horizon predictive maintenance requires models to distinguish slowly evolving degradation from normal operating-regime variation over planning wind

7 Sept 2026

Repeated Queries Exhaust an LLM's Brand Recommendations but Not Its Sources

arXiv:2609.05059v1 Announce Type: cross Abstract: Whether repeated identical buying questions exhaust a language model's brand recommendations depends on retrieval. Across 300 question-engine cells (5

researcharxiv-cs-cl

7 Sept 2026

AnyBox: Efficient Zero-Shot 9DoF Pose Estimation of Boxes for Robotic Manipulation

arXiv:2511.15884v2 Announce Type: replace-cross Abstract: Recovering the 9D pose of objects, both their 6D pose and 3D dimensions, under clutter and occlusion is a core requirement for warehouse autom

4 Sept 2026

MAOL: Morphology-Aware Ordinal Learning for Fine-Grained Industrial Defect Severity Grading

arXiv:2609.02266v1 Announce Type: new Abstract: Fine-grained defect severity grading is essential for industrial inspection, yet remains challenging due to the ordinal nature of severity labels, the s

applicationsarxiv-cs-cv

3 Sept 2026

Measurement-Driven Sub-Network Selection for On-Premise Retrieval-Augmented Factory Agents

arXiv:2609.02760v1 Announce Type: new Abstract: On-premise assistants can give factory workers conversational access to machine documentation, but models capable of the task rarely fit shop-floor hard

3 Sept 2026

Facet-0: A Robotic Foundation Model for Contact-Rich Precise Manipulation

arXiv:2609.01596v1 Announce Type: cross Abstract: Real-world robotic assembly at sub-millimeter tolerances demands spatial precision, compliant interaction, and robustness to contact failures. We pres

safetyarxiv-cs-lg

2 Sept 2026

Industry

Dyson unveils the $499 CameraJet, an AI-powered toothbrush with a 100K-pixel macro lens that scans at 28 images per second and is trained on nearly 470K images (Samantha Kelly/Bloomberg)

Samantha Kelly / Bloomberg: Dyson unveils the 499 CameraJet, an AI-powered toothbrush with a 100K-pixel macro lens that scans at 28 images per second and is trained on nearly 470K images — Dyson Ltd.

industrytechmeme

Extending TotalSegmentator: Predicting Patient and Acquisition Characteristics from CT and MR Images

arXiv:2608.29348v1 Announce Type: new Abstract: Background: Patient details and acquisition metadata are important for clinical decisions, image quality control, and automated research pipelines, but

researcharxiv-cs-ai

FRAMEWORKERS: A Dynamic Multi-Agent Framework for AI-Generated Video Production

arXiv:2608.29814v1 Announce Type: new Abstract: Modern video generators excel at synthesizing individual clips, but complete video production requires coordinating a long sequence of interdependent cr

safetyarxiv-cs-ai

Generating Workflow DAGs from Natural Language with Non-Reasoning LLMs

arXiv:2608.30250v1 Announce Type: new Abstract: This paper addresses the problem of translating natural-language routing rules written by business administrators into executable workflow graphs for en

LLMODE: Aligning ODEs with LLMs via Gated Token Injection for Irregular Spatio-Temporal Forecasting

arXiv:2608.29640v1 Announce Type: cross Abstract: Large language models (LLMs) have shown promise for spatio-temporal forecasting, but existing approaches often rely on regularly sampled token sequenc

BigQuery Graph is now GA: the knowledge foundation for the agentic era

model-releasesgoogle-cloud-ai

Many of the questions that matter in enterprise data aren't just about individual rows — they're about how things connect: how two accounts are linked, what path a payment took, what context grounds a

31 Aug 2026

CF-YOLO: Context-Aware Feature Refinement for Camouflaged Industrial Micro-Defect Detection

model-releasesarxiv-cs-cv

arXiv:2608.28070v1 Announce Type: new Abstract: Automated detection of surface micro-defects on industrial components, such as copper tubes, is critically important for quality assurance but remains c

31 Aug 2026

Industry

People spent more than 2.5 million in 24 hours... On a robot duck. Hugging Face and Pollen Robotics put Microduck on sale at 399. It's ten…

People spent more than 2.5 million in 24 hours... On a robot duck. Hugging Face and Pollen Robotics put Microduck on sale at 399. It's ten inches tall and has fifteen motors. It waddles, it roller-ska

industryclem-delangue--x

29 Aug 2026

AI Control Scientist: LLM-driven Agentic System for Automated Control Design

arXiv:2608.26780v1 Announce Type: new Abstract: Control system design is critical for modern industry, such as chemical process temperature regulation and aero-engine control. However,traditional cont

Beyond the Proving Ground: Independent Public-Road Testing of Assisted Lane Change Systems using LiDAR

arXiv:2608.26669v1 Announce Type: cross Abstract: Testing of commercial Advanced Driver Assistance Systems is essential to ensure safety and compliance during type approval and in service operation. H

safetyarxiv-cs-cv

DRL: A Deterministic Relational Middleware Layer for Transaction-Safe Enterprise NL2SQL Under Schema-Graph Scaling

arXiv:2608.26172v1 Announce Type: cross Abstract: Deploying natural-language interfaces over enterprise OLTP catalogs fails at scale because semantic parsers collapse under schema-graph scaling, infla

Agents

LLM Agents for Time-Series: A Survey

arXiv:2608.26226v1 Announce Type: new Abstract: LLM-based agents are increasingly being developed for time-series problems, but their design choices vary substantially across task settings. This surve

agentsarxiv-cs-ai

PICasso: An AI-Enabled Design Framework for Autonomous Optimization of Silicon Photonic Devices

arXiv:2608.26113v1 Announce Type: new Abstract: We present PICasso, an AI-assisted framework for automated synthesis, verification, and optimization of photonic integrated circuits (PICs) from natural

Tensegrity Continuum Robots Enable Task-Adaptive Morphologies for Cooperative Behaviors

arXiv:2608.27221v1 Announce Type: new Abstract: Robots that can change their morphologies and behaviors for different tasks and environments hold great promise for adaptable, multifunctional systems.

applicationsarxiv-cs-ro

Anthropic releases Model Hardware Standard, a framework to help AI agents use physical systems like microscopes, quantum computing hardware, and robot arms (Will Knight/Wired)

Will Knight / Wired: Anthropic releases Model Hardware Standard, a framework to help AI agents use physical systems like microscopes, quantum computing hardware, and robot arms — The potential for AI

applicationstechmeme

Automatic weld seam segmentation for industrial quality control: a comparison of RGB and polarimetric imaging with CNN and transformer architectures

arXiv:2608.25465v1 Announce Type: new Abstract: Visual inspection of welded assemblies remains one of the least automated stages in many industrial production processes, still depending largely on the

safetyarxiv-cs-cv

CropCop: An Auditable 120-Class Plant-Health Model from Benchmark Reconstruction to a Quantised Runtime Artifact

model-releasesarxiv-cs-cv

arXiv:2608.25539v1 Announce Type: new Abstract: A plant-health score can appear precise while resting on duplicated image families, a long-tailed label space, or a runtime file that was never evaluate

Industry

Hugging Face’s new robot is an adorable rollerskating duck

Hugging Face's Pollen Robotics has launched its second cute AI robot, the Microduck, a one-eyed biped standing just under 10 inches tall. It's available to preorder now for $399 in cream, graphite, la

industrythe-verge-ai

Most companies manage their org chart, their product line, their brand guidelines, their operations manual. Each as a separate document. Eac…

Most companies manage their org chart, their product line, their brand guidelines, their operations manual. Each as a separate document. Each updated on its own cadence. Each a snapshot of a different

safetyyohei-nakajima--x

Performance-guided Task-specific Optimization for Multirotor Design

arXiv:2510.04724v2 Announce Type: replace Abstract: This paper introduces a methodology for task-specific design optimization of multirotor Micro Aerial Vehicles. By leveraging reinforcement learning,

applicationsarxiv-cs-ro

Sources: Anthropic discussed buying AI chip startup MatX for ~7B, but talks are no longer active; MatX is now seeking to raise new capital at a ~4B valuation (Reuters)

Reuters: Sources: Anthropic discussed buying AI chip startup MatX for ~7B, but talks are no longer active; MatX is now seeking to raise new capital at a ~4B valuation — Anthropic discussed buying arti

applicationstechmeme

Today, we're kicking off the first phase of the research preview for Model Hardware Standard (MHS): a new standard for AI agents to safely o…

applicationsyohei-nakajima--x

Today, we're kicking off the first phase of the research preview for Model Hardware Standard (MHS): a new standard for AI agents to safely operate physical equipment in scientific research and advance

Local Ai

Transient multimode heat transfer of an industrial automated tape laying process under rapidly changing conditions

arXiv:2608.25470v1 Announce Type: new Abstract: This work presents a transient heat-transfer model of an industrial automated tape laying (ATL) process designed to overcome the limitations of conventi

local-aiarxiv-cs-ro

Agents

Vertical Advantage: Transforming Industries with Lakebase and Agentic AI

**Vertical Advantage: Transforming Industries with Lakebase and Agentic AI** The article details how Lakebase’s unified data‑lake platform, coupled with Agentic AI’s autonomous decision‑making agents,

agentsdatabricks

Anatomy of a Scam Call: What 10,000 real scam and spam calls reveal about how phone scammers operate

model-releasesarxiv-cs-lg

arXiv:2608.24127v1 Announce Type: cross Abstract: Telephone fraud is pervasive and costly, but its inner workings are rarely observed at scale. We analyze a complete corpus of 10,211 inbound scam and

26 Aug 2026

Syn2RealTrack: Bridging the Gap Between Synthetic and Real-World Datasets for Online Multi-View Multi-Target Tracking

arXiv:2608.24130v1 Announce Type: cross Abstract: Multi-camera 3D perception systems for warehouse scenes are trained largely on synthetic data and evaluated on physically captured environments. The r

26 Aug 2026

The Shadow Price of Intelligence: Quality Degradation in LLM Inference as a Supply Chain Problem

arXiv:2608.23986v1 Announce Type: cross Abstract: Large language model providers are compute constrained, and their universal response to congestion is to degrade service: route queries to smaller mod

safetyarxiv-cs-ai

26 Aug 2026

A detailed look at Jalapeño, OpenAI's ASIC developed with Broadcom in 16 months, which beat Nvidia, AMD, and Google chips on multiple top open-weight models (SemiAnalysis)

SemiAnalysis: A detailed look at Jalapeño, OpenAI's ASIC developed with Broadcom in 16 months, which beat Nvidia, AMD, and Google chips on multiple top open-weight models — OpenAI's self-designed ASIC

hardwaretechmeme

A Physics-informed Neural Network Approach for Robust Buckling Load Prediction and Reliability-Based Design of Thin Truncated Conical Shells

arXiv:2608.21818v1 Announce Type: new Abstract: Thin-walled truncated conical shells are widely used in aerospace, marine, offshore, and lightweight infrastructure systems due to their high strength-t

safetyarxiv-cs-lg

AI-based worker guidance in assembly and disassembly operations using multimodal ego/exo-centric data capture and structured task knowledge

arXiv:2608.22617v1 Announce Type: cross Abstract: Assembly and disassembly processes rely on expert knowledge that is difficult to document, reuse, and transfer. This paper presents a data-centric app

DiagFlowBench: Evaluating How Language Models Handle Off-Procedure Inputs in Grounded Diagnostic Dialogue

arXiv:2606.17904v2 Announce Type: replace Abstract: Language models increasingly serve as advisory systems in maintenance operations. To prevent hallucination, recent systems ground these models in pr

researcharxiv-cs-ai

Differentiable Voxelization of Surface Representations

arXiv:2608.15934v1 Announce Type: cross Abstract: Different shape representations facilitate different computations. Surface representations, in particular meshes, are often used for modeling, whereas

researcharxiv-cs-cv

OpenAI Jalapeño: Better Than Nvidia Blackwell

OpenAI’s Jalapeño is a self‑designed ASIC for large‑language‑model inference that was taped‑out in about 16 months, developed with Broadcom and featuring HBM4 memory. Benchmarks on the InferenceX suit

hardwaresemianalysis

Pre-Decoding Acoustic Triage for Budgeted Vision-Language Captioning of Untrimmed Egocentric Video

arXiv:2608.22359v1 Announce Type: cross Abstract: Automatically analyzing hours-long egocentric video is increasingly essential for progress monitoring, quality control, and safety in logistics, const

safetyarxiv-cs-ai

Since announcing Jalapeño, our first custom inference chip, we’ve been testing it and the system around it. The results show a major advance…

Since announcing Jalapeño, our first custom inference chip, we’ve been testing it and the system around it. The results show a major advance: more intelligence from every watt and faster responses, de

hardwareopenai--x

Toward a Foundation Plug-and-Play Prior for Computed Tomography Reconstruction via a Multimodal Diffusion Model

arXiv:2608.23190v1 Announce Type: new Abstract: Computed tomography (CT) throughput is limited by scan time, which grows with both the number of projections acquired and the detector integration time

researcharxiv-cs-cv