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Artificial Intelligence / Machine Learning · 5

Automation / Agentic Systems · 5

Research Papers · 3

Embedded Systems · 5

Computer Systems · 5

Developer Tools / Open Source · 5

Cloud / Infrastructure · 2

Archived section

Artificial Intelligence / Machine Learning · 5

Artificial Intelligence / Machine Learning
arXiv6/25/2026
Recently

A Multi-Fidelity Convolutional Autoencoder-Transfer Learning Framework for Guided-Wave-Based Damage Diagnosis Using Large Simulated and Limited Experimental Datasets

Guided wave-based structural health monitoring (GWSHM) with onboard transducers offers significant potential for the early diagnosis of damage in engineering structures. However, the practical deployment of deep learning models is often hindered by the limited availability of labelled experimental data and the high computational cost of generating large-scale high-fidelity simulation datasets. This study presents a multifidelity transfer learning framework that integrates lightweight physics-based simulations, convolutional autoencoder (CAE)-based deep feature learning, a feed-forward neural network, and limited experimental measurements for accurate damage localisation and sizing in plate-like structures instrumented with piezoelectric transducers. Authors: Santosh Kapuria, Abhishek.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Guided wave-based structural health monitoring (GWSHM) with onboard transducers offers significant potential for the early diagnosis of damage in engineering structures.

Primary paperarxivcs.LG
Original
Artificial Intelligence / Machine Learning
arXiv6/25/2026
Recently

When are likely answers right? On Sequence Probability and Correctness in LLMs

Many decoding methods for large language models can be understood as shifting probability mass toward outputs that are more likely under the model, either locally at the token level or globally at the sequence level. Therefore, their success depends on a fundamental question: when does sequence probability, that is, the conditional probability of a continuation given a prompt, actually align with correctness? In this paper, we set out to quantify this relationship across decoding methods, models, and benchmarks at four levels: across decoding methods, across hyperparameters within a method, across prompt-answer pairs within a dataset, and across repeated responses to the same prompt. Authors: Johannes Zenn, Jonas Geiping.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Many decoding methods for large language models can be understood as shifting probability mass toward outputs that are more likely under the model, either locally at the token level or globally at the sequence level.

Primary paperarxivstat.ML
Original
Artificial Intelligence / Machine Learning
NVIDIA Technical Blog6/26/2026
Recently

Deploy a Production-Ready NVIDIA AI-Q Blueprint on Oracle Cloud Infrastructure

AI agents have changed a lot in the last two years. The first could only answer one question at a time. Then came multi-turn chat, where the model could keep...

Why it matters

Read this for the official technical update in Artificial Intelligence / Machine Learning: AI agents have changed a lot in the last two years.

Official source
Original
Artificial Intelligence / Machine Learning
NVIDIA Technical Blog6/25/2026
Recently

Scaling AI Inference Across Multiple GPUs Using NVIDIA TensorRT with Multi-Device Inference Support

Generative AI workloads are rapidly outgrowing the memory and compute budget of single GPUs. For inference developers building media generation pipelines, the... Generative AI workloads are rapidly outgrowing the memory and compute budget of single GPUs.

Why it matters

Read this for the official technical update in Artificial Intelligence / Machine Learning: Generative AI workloads are rapidly outgrowing the memory and compute budget of single GPUs.

Official source
Original
Artificial Intelligence / Machine Learning
Meta Engineering6/25/2026
Recently

Privacy-Aware Infrastructure in the AI-Native Era: An Asset Classification Case Study

Privacy controls — systems that enforce retention, access, allowed-purpose, downstream-sharing, or anonymization policies — require a reliable understanding of data to function. Before such a control can operate effectively, it must know exactly what it is looking at. ] Read More...

Why it matters

Read this for the official technical update in Artificial Intelligence / Machine Learning: Privacy controls — systems that enforce retention, access, allowed-purpose, downstream-sharing, or anonymization policies — require a reliable understanding of data to function.

Official sourceML Applications
Original

Archived section

Automation / Agentic Systems · 5

Automation / Agentic Systems
arXiv6/25/2026
Recently

CHIA: An open-source framework for principled, agentic AI-driven hardware/software co-design research

Agentic artificial intelligence shows great promise for radically improving the pace of innovation in hardware/software co-design research across computer architecture, systems, compilers, and VLSI. Thus far, however, applications of AI in these contexts have generally been demonstrated in isolated settings on small-scale problems, due to the difficulty of designing and deploying complex AI-infused hardware and software development workflows. This paper introduces CHIA, an open-source hardware/software co-design framework for agile and principled research on the application of AI to co-design. Authors: Angela Cui, Ferran Hermida-Rivera, Jack Toubes.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Agentic artificial intelligence shows great promise for radically improving the pace of innovation in hardware/software co-design research across computer architecture, systems, compilers, and VLSI.

Primary paperarxivcs.AR
Original
Automation / Agentic Systems
arXiv6/25/2026
Recently

Advancing Omnimodal Embodied Agents from Isolated Skills to Everyday Physical Autonomy

Building persistent embodied agents in unstructured environments demands unified orchestration of heterogeneous tools spanning both cyber (APIs, IoT) and physical (manipulation, navigation) domains, coupled with autonomous recovery from physical failures that inevitably arise over extended operation. Existing systems treat these as separate problems: VLM-based planners lack a unified cyber-physical action space, agent frameworks accumulate unbounded context that degrades temporal coherence, and VLA policies execute open-loop without detecting their own failures. We argue that persistent autonomy requires not a monolithic model but a hierarchical asynchronous architecture with explicit separation of planning, memory, and verification. Authors: Junhao Shi, Zezheng Huai, Siyin Wang.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Building persistent embodied agents in unstructured environments demands unified orchestration of heterogeneous tools spanning both cyber (APIs, IoT) and physical (manipulation, navigation) domains, coupled with autonomous recovery from physical failures that inevitably arise over extended operation.

Primary paperarxivcs.RO
Original
Automation / Agentic Systems
arXiv6/25/2026
Recently

NOVA: A Verification-Aware Agent Harness for Architecture Evolution in Industrial Recommender Systems

Industrial advertising recommender models are continuously improved through architecture evolution. Upgrades such as RankMixer, TokenMixer-Large, and MixFormer show that better structures remain a key source of quality and business gains. Yet developing such upgrades in production is expert-intensive and difficult to scale. Authors: Shaohua Liu, Liang Fang, Yilong Sun.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Industrial advertising recommender models are continuously improved through architecture evolution.

Primary paperarxivcs.IR
Original
Automation / Agentic Systems
arXiv6/25/2026
Recently

Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning

Multimodal web agents can assist humans in operating repetitive GUI tasks, where effective task planning is essential for decomposing complex tasks into executable actions. While small open source MLLMs are cost efficient and privacy preserving compared with commercial large models, they suffer from weak planning and limited cross website generalization. To address these limitations, we introduce the planning experience exploration and utilization (PEEU) method, which autonomously explores environments to discover experiences and utilizes hindsight experience to synthesize strictly aligned, high level training data. Authors: Tianyi Men, Zhuoran Jin, Pengfei Cao.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Multimodal web agents can assist humans in operating repetitive GUI tasks, where effective task planning is essential for decomposing complex tasks into executable actions.

Primary paperarxivcs.CL
Original
Automation / Agentic Systems
GitHub Blog6/25/2026
Recently

Evaluating performance and efficiency of the GitHub Copilot agentic harness across models and tasks

Explore how the GitHub Copilot agentic harness delivers strong results across multiple benchmarks and leading token efficiency, while maintaining flexibility to choose among more than 20 models. The post Evaluating performance and efficiency of the GitHub Copilot agentic harness across models and tasks appeared first on The GitHub Blog.

Why it matters

Read this for the official technical update in Automation / Agentic Systems: Explore how the GitHub Copilot agentic harness delivers strong results across multiple benchmarks and leading token efficiency, while maintaining flexibility to choose among more than 20 models.

Official sourceAI & MLGitHub Copilot
Original

Archived section

Research Papers · 3

Research Papers
arXiv6/25/2026
Recently

Generative Models on Analog Hardware with Dynamics

Analog hardware platforms such as coupled oscillators and Analog Ising Machines naturally solve differential equations at a fraction of the energy cost of digital computation, making them attractive for low-power generative modeling, yet a fundamental mismatch exists: modern generative models assume flexible, software-defined dynamics, whereas analog hardware imposes fixed, physics-determined differential equations with limited approximation capacity. This paper introduces Analog Interaction Systems (AIS), a unified framework for hardware-implementable dynamical systems, and empirically characterizes their expressivity gap relative to neural network baselines. Two hardware-compatible mechanisms are proposed to narrow this gap - time-varying piecewise parameters and hidden physical states - and a Wasserstein GAN training procedure is developed to enable training of these models without requiring them to follow a specific trajectory. Authors: Yu-Neng Wang, Sara Achour.

Why it matters

Read this for the paper's specific claim in Research Papers: Analog hardware platforms such as coupled oscillators and Analog Ising Machines naturally solve differential equations at a fraction of the energy cost of digital computation, making them attractive for low-power generative modeling, yet a fundamental mismatch exists: modern generative models assume flexible, software-defined dynamics, whereas analog hardware imposes fixed, physics-determined differential equations with limited approximation capacity.

Primary paperarxivcs.ET
Original
Research Papers
arXiv6/25/2026
Recently

"Everyone Says Them": Deception Typologies, Probabilistic Trust, and Grassroots Safety Knowledge Among Gay Dating App Users in China

Gay dating applications have become critical platforms for sexual minority men to seek relationships and community, yet they also expose users to deceptive interactions that remain underexplored in HCI and CSCW research. This study examines how gay male users in China experience, identify, and respond to deception on dating applications. Through semi-structured interviews with 22 participants across platforms including Blued, Aloha, Fanka, and Soul, we make three contributions. Authors: Yibo Meng, Lyumanshan Ye, Yingfangzhong Sun.

Why it matters

Read this for the paper's specific claim in Research Papers: Gay dating applications have become critical platforms for sexual minority men to seek relationships and community, yet they also expose users to deceptive interactions that remain underexplored in HCI and CSCW research.

Primary paperarxivcs.HC
Original
Research Papers
arXiv6/25/2026
Recently

Reading the Same Data Differently: Interpretive Labor Across System Boundaries in Electronic Monitoring

Electronic monitoring (EM) systems are increasingly used in community corrections to enforce spatial, temporal, and behavioral rules through continuous sensing. While prior work has examined EM as a criminal justice tool or as a mechanism for compliance, less is known about how sensed data become meaningful in everyday practice. This poster examines EM as a dual-sided sensing system in which supervised individuals and authorities reason about the same data stream from different positions. Authors: Yibo Meng, Bingyi Liu, Zhiqi Gao.

Why it matters

Read this for the paper's specific claim in Research Papers: Electronic monitoring (EM) systems are increasingly used in community corrections to enforce spatial, temporal, and behavioral rules through continuous sensing.

Primary paperarxivcs.HC
Original

Archived section

Embedded Systems · 5

Embedded Systems
arXiv6/25/2026
Recently

BOWConnect: Parallel Bayesian Optimization over Windows with Learned Local Cost Maps for Sample-Efficient Kinodynamic Motion Planning

This paper presents BOWConnect, a bidirectional parallel kinodynamic motion planner that addresses three fundamental limitations of existing sampling-based methods: sample inefficiency in high-dimensional state spaces, unreliable cost heuristics under dynamic constraints, and poor performance in narrow passage environments. Unlike classical planners that rely on random control sampling and geometric distance heuristics, BOWConnect integrates Bayesian Optimization over Windows (BOW) as a learning-based steering function within a parallel tree-based exploration framework, enabling each worker to learn local cost maps and constraints to guide sampling toward dynamically feasible and collision-free controls. A bidirectional architecture simultaneously grows forward and backward trees from the start and goal regions in parallel threads, with a spatial hashing mechanism enabling fast connection queries and a boundary value problem solver generating kinodynamically consistent bridge trajectories. Authors: Sourav Raxit, Abdullah Al Redwan Newaz, Jose Fuentes.

Why it matters

Read this for the paper's specific claim in Embedded Systems: presents BOWConnect, a bidirectional parallel kinodynamic motion planner that addresses three fundamental limitations of existing sampling-based methods: sample inefficiency in high-dimensional state spaces, unreliable cost heuristics under dynamic constraints, and poor performance in narrow passage environments.

Primary paperarxivcs.RO
Original
Embedded Systems
arXiv6/25/2026
Recently

OctoSense: Self-Supervised Learning for Multimodal Robot Perception

We present OctoSense, an open-source sensor platform with stereo RGB and event cameras, LiDAR, a thermal camera, an inertial measurement unit, RTK-corrected global positioning system, and proprioception (CAN bus data from a car, and joint angles for a quadruped robot). The eponymous OctoSense dataset contains 59 hours of time-synchronized driving data across different types of environments at different times of the day, including situations with highly degraded sensors. We demonstrate multi-modal self-supervised learning using such real-world robotics data, where sensors have different representations, frequencies, latencies and noise. Authors: Anthony Bisulco, Jeremy Wang, Kostas Daniilidis.

Why it matters

Read this for the paper's specific claim in Embedded Systems: We present OctoSense, an open-source sensor platform with stereo RGB and event cameras, LiDAR, a thermal camera, an inertial measurement unit, RTK-corrected global positioning system, and proprioception (CAN bus data from a car, and joint angles for a quadruped robot).

Primary paperarxivcs.CV
Original
Embedded Systems
arXiv6/25/2026
Recently

Hallucination in World Models is Predictable and Preventable

Modern generative world models render increasingly realistic action-controllable futures, yet they frequently hallucinate: rollouts remain visually fluent while drifting from the ground-truth dynamics. We hypothesize that hallucination concentrates in low-coverage regions of the state-action space, where lightweight data-centric signals can both detect it and guide mitigation. To test this, we introduce MMBench2, a 427-hour, 210-task dataset for visual world modeling with ground-truth actions, rewards, and live simulators, and train a 350M-parameter world model on it. Authors: Nicklas Hansen, Xiaolong Wang.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Modern generative world models render increasingly realistic action-controllable futures, yet they frequently hallucinate: rollouts remain visually fluent while drifting from the ground-truth dynamics.

Primary paperarxivcs.LG
Original
Embedded Systems
arXiv6/25/2026
Recently

World Action Models Enable Continual Imitation Learning with Recurrent Generative Replays

Going beyond predicting robot actions, World Action Models (WAMs) can also generate future visual observations. We build on this generative capability to propose Recurrent Generative Replay (REGEN), a continual imitation learning framework that synthesizes pseudo-replay trajectories, enabling a robot policy to rehearse previously learned tasks without storing their original human demonstrations. During continual adaptation, REGEN recursively queries the WAM to synthesize pseudo-replay trajectories conditioned only on prior task instructions and current-task observations. Authors: Manish Kumar Govind, Dominick Reilly, Smit Patel.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Going beyond predicting robot actions, World Action Models (WAMs) can also generate future visual observations.

Primary paperarxivcs.RO
Original
Embedded Systems
Hackaday6/25/2026
Recently

Fixing a Warped Paperback Spine With Gentle Heating

Although paperbacks are a much-loved aspect of the literary world, they are not really intended to last the decades the way that hardcover books are.

Why it matters

Read this for the engineering context in Embedded Systems: Although paperbacks are a much-loved aspect of the literary world, they are not really intended to last the decades the way that hardcover books are.

Trusted sourcehow-toRepair Hacks
Original

Archived section

Computer Systems · 5

Computer Systems
arXiv6/25/2026
Recently

Tilikum: Transaction Fair Ordering on a DAG without Weak Edges

Decentralized Finance (DeFi) applications rely heavily on the order in which transactions are executed, making them susceptible to reordering attacks that enable adversaries to extract Blockchain Extractable Value (BEV). While linear blockchain systems such as Ethereum have inspired extensive research into fair ordering mechanisms, DAG-based consensus protocols have remained largely unprotected despite their growing adoption for scalability and performance. In this paper, we introduce Tilikum, a DAG-based ledger protocol that ensures fair transaction ordering without relying on weak edges. Authors: Giulio Segalini, Yigit Çolakoğlu, Marko Putnik.

Why it matters

Read this for the paper's specific claim in Computer Systems: Decentralized Finance (DeFi) applications rely heavily on the order in which transactions are executed, making them susceptible to reordering attacks that enable adversaries to extract Blockchain Extractable Value (BEV).

Primary paperarxivcs.CR
Original
Computer Systems
arXiv6/25/2026
Recently

Evaluating Architectural Trade-offs in CGRAs: The Impact of Scratchpad Memory and Heterogeneity on Compute-Intensive Kernels

Modern edge computing applications, particularly high-throughput stream processing like Vision Transformers (ViTs), demand massive spatial parallelism and efficient data movement under tight power and area constraints. Coarse-Grained Reconfigurable Architectures (CGRAs) offer a promising paradigm to balance performance, flexibility, and energy efficiency. This paper analyzes the impact of two critical CGRA design choices: processing element heterogeneity and local data reuse support. Authors: María José Belda, Lara Orlandic, Fernando Castro.

Why it matters

Read this for the paper's specific claim in Computer Systems: Modern edge computing applications, particularly high-throughput stream processing like Vision Transformers (ViTs), demand massive spatial parallelism and efficient data movement under tight power and area constraints.

Primary paperarxivcs.AR
Original
Computer Systems
arXiv6/25/2026
Recently

CHAMB-GA: A Containerized HPC Scalable Microservice-Based Framework for Genetic Algorithms

Metaheuristic-based global optimization with embedded, long-running simulations is a computationally expensive process. To support various stages of development and execution, a seamless transition from personal computers to distributed clusters is desired, enabling execution across all computational scales. However, existing tool chains are often characterized by rigidity and hardware-bound constraints, which impede scalability and the integration of complex simulations. Authors: Felix Bonhoff, Thiemo Pesch, Andrea Benigni.

Why it matters

Read this for the paper's specific claim in Computer Systems: Metaheuristic-based global optimization with embedded, long-running simulations is a computationally expensive process.

Primary paperarxivcs.DC
Original
Computer Systems
CNCF Blog6/26/2026
Recently

Security Profiles Operator v1: Stable APIs, Security Hardened, and Shaping Upstream Kubernetes

Linux provides powerful kernel-level security mechanisms, seccomp, SELinux, and AppArmor, that restrict what containerized workloads can do. Each uses profiles that define permitted behavior, but writing, distributing, and maintaining those profiles by hand is tedious and...

Why it matters

Read this for the official technical update in Computer Systems: Linux provides powerful kernel-level security mechanisms, seccomp, SELinux, and AppArmor, that restrict what containerized workloads can do.

Official sourceBlog
Original
Computer Systems
LWN.net6/26/2026
Recently

Initiating writeback earlier

Writeback is the process of ensuring that dirty pages or folios in the page cache are flushed to the disk, so that changes to those files are made persistent. In a filesystem-track session at the 2026 Linux Storage, Filesystem, Memory Management, and BPF Summit, Jeff Layton wanted to discuss whether the writeback operation should be initiated earlier than it is today. The consensus seemed to be that it should be done earlier, but the path toward making that happen was less clear.

Why it matters

Read this for the concrete reporting in Computer Systems: Writeback is the process of ensuring that dirty pages or folios in the page cache are flushed to the disk, so that changes to those files are made persistent.

Trusted source
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Archived section

Developer Tools / Open Source · 5

Developer Tools / Open Source
Vercel Blog6/25/2026
Recently

AI SDK 7

AI SDK, with over 16 million weekly downloads, is the TypeScript SDK for building AI applications, features, frameworks, and agents across any model provider. eve AI SDK 7 adds production depth for agent work across five areas: Building well-behaved agents requires fine-grained control over model reasoning, tool context, and file handling. Most frontier models support configurable reasoning, but every provider API exposes it differently.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: AI SDK, with over 16 million weekly downloads, is the TypeScript SDK for building AI applications, features, frameworks, and agents across any model provider.

Official source
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Developer Tools / Open Source
Vercel Blog6/25/2026
Recently

Trace and debug eve agent sessions with Vercel Observability

You can now view in your Vercel dashboard for, the open-source agent framework. The Agent Runs tab appears automatically for every eve project, surfacing trigger, duration, and token usage for each session at a glance. Drill into any run to inspect every turn, model call, and tool call in the conversation.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: You can now view in your Vercel dashboard for, the open-source agent framework.

Official source
Original
Developer Tools / Open Source
Kubernetes Blog6/26/2026
Recently

Open source maintainership in the age of AI

AI has really changed the game around software development. More people are leveraging AI than ever to contribute patches to projects they use. To me, this is a good thing as more folks will contribute patches rather than fork or not fix them.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: AI has really changed the game around software development.

Official source
Original
Developer Tools / Open Source
Docker Blog6/25/2026
Recently

How to Generate an SBOM for Container Workflows

Learn when, where, and how to generate SBOMs for container images. Covers build-time vs. post-build approaches, quality criteria, and CI/CD integration.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: Learn when, where, and how to generate SBOMs for container images.

Official sourceProductsConcepts
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Developer Tools / Open Source
GitHub Blog6/26/2026
Recently

GitHub and UNDP team up to advance development priorities in Ghana with open source

GitHub joined the United Nations Development Programme in Ghana to explore how open source governance can support one of West Africa's most ambitious digital reform efforts. The post GitHub and UNDP team up to advance development priorities in Ghana with open source appeared first on The GitHub Blog.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: GitHub joined the United Nations Development Programme in Ghana to explore how open source governance can support one of West Africa's most ambitious digital reform efforts.

Official sourceOpen SourceSocial impact
Original

Archived section

Cloud / Infrastructure · 2

Cloud / Infrastructure
Kubernetes Blog6/25/2026
Recently

Introducing the Cluster API plugin for Headlamp

Headlamp is an open-source, extensible Kubernetes SIG UI project designed to let you explore, manage, and debug cluster resources directly from a browser. Cluster API (CAPI) is a Kubernetes sub-project that brings declarative, Kubernetes-style APIs to cluster lifecycle management. It lets platform teams provision, upgrade, and manage the lifecycle of Kubernetes clusters using standard Kubernetes objects stored and reconciled in a management cluster.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: Headlamp is an open-source, extensible Kubernetes SIG UI project designed to let you explore, manage, and debug cluster resources directly from a browser.

Official source
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Cloud / Infrastructure
Kubernetes Blog6/25/2026
Recently

Inspect Volcano workloads faster with Headlamp

Volcano is a cloud native batch scheduler for Kubernetes, built for high-performance computing, AI/ML, and other batch workloads. Headlamp is an extensible Kubernetes web UI. With its plugin system, Headlamp can surface APIs and workflows beyond the built-in Kubernetes resources.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: Volcano is a cloud native batch scheduler for Kubernetes, built for high-performance computing, AI/ML, and other batch workloads.

Official source
Original