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Artificial Intelligence / Machine Learning · 5

Automation / Agentic Systems · 5

Research Papers · 5

Embedded Systems · 5

Computer Systems · 5

Developer Tools / Open Source · 5

Cloud / Infrastructure · 5

Archived section

Artificial Intelligence / Machine Learning · 5

Artificial Intelligence / Machine Learning
arXiv7/13/2026
Recently

A Durability and Cross-Language Transfer Benchmark for a Validated Teaching-Feedback Classification Protocol

Institutions collect far more open-ended teaching-evaluation feedback than they read. A prior study introduced a validated protocol for classifying such comments by thematic category and sentiment, built from a documented annotation guide, an intra-annotator reliability measurement, stratified cross-validation, and a held-out evaluation on a Spanish institutional corpus with a frozen-encoder design. Two questions limit its reuse: whether a protocol fixed to 2019-era frozen embeddings stays competitive as representation methods advance, and whether it transfers to a second language. Authors: Esteban U. Vega Barajas.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Institutions collect far more open-ended teaching-evaluation feedback than they read.

Primary paperarxivcs.CL
Original
Artificial Intelligence / Machine Learning
arXiv7/13/2026
Recently

Invariant Learning Dynamics of Transformers in Inductive Reasoning Tasks

We present a theoretical framework to explain the emergence of inductive reasoning abilities in Transformer language models. While previous works on Transformer learning dynamics have so far been mostly tied to specific tasks, we study a generalized class of inductive tasks that unifies several synthetic tasks known in the literature, including in-context n-grams and multi-hop reasoning. In this class, we theoretically prove that the training dynamics of attention models can be confined to a highly interpretable, low-dimensional invariant manifold. Authors: Tiberiu Musat, Tiago Pimentel, Nicholas Zucchet.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: We present a theoretical framework to explain the emergence of inductive reasoning abilities in Transformer language models.

Primary paperarxivcs.LG
Original
Artificial Intelligence / Machine Learning
arXiv7/13/2026
Recently

Read It Back: Pretrained MLLMs Are Zero-Shot Reward Models for Text-to-Image Generation

In this paper, we propose SpectraReward, a training-free reward function that turns pretrained MLLMs into off-the-shelf reward models for image-generation reinforcement learning. Instead of asking the MLLM to judge a generated image or answer decomposed verification questions, SpectraReward measures how well the original prompt can be recovered from the generated image through a single image-conditioned, teacher-forced forward pass. We use the average image-conditioned prompt log-likelihood as the reward, directly reusing the MLLM's pretrained image-text alignment ability without preference labels, reward-model fine-tuning. Authors: Runhui Huang, Qihui Zhang, Zhe Liu.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: In this paper, we propose SpectraReward, a training-free reward function that turns pretrained MLLMs into off-the-shelf reward models for image-generation reinforcement learning.

Primary paperarxivcs.CV
Original
Artificial Intelligence / Machine Learning
NVIDIA Technical Blog7/13/2026
Recently

Extreme Event Likelihoods with Guided Generative Models

Across science, engineering, and finance, many of the most important risks come from low-likelihood, high-impact events. Estimating the probability of these... Across science, engineering, and finance, many of the most important risks come from low-likelihood, high-impact events.

Why it matters

Read this for the official technical update in Artificial Intelligence / Machine Learning: Across science, engineering, and finance, many of the most important risks come from low-likelihood, high-impact events.

Official source
Original
Artificial Intelligence / Machine Learning
IEEE Spectrum7/13/2026
Recently

VHF Propagation: What Every RF Engineer Should Know

A practical educational guide to common and uncommon VHF propagation modes, covering thephysics, range implications, and real-world behaviors engineers need to understand. What Attendees will Learn Why "line of sight" fails as a practical VHF planning model. How refraction, reflection, diffraction, and scattering deliver or destroy signals where geometry alone cannot predict.

Why it matters

Read this for the concrete reporting in Artificial Intelligence / Machine Learning: A practical educational guide to common and uncommon VHF propagation modes, covering thephysics, range implications, and real-world behaviors engineers need to understand.

Trusted sourceType-whitepaperVhf-propagation
Original

Archived section

Automation / Agentic Systems · 5

Automation / Agentic Systems
arXiv7/13/2026
Recently

Agent Hacks Agent: Autoresearch for Production-Agent Red-Teaming

Production LLM agents such as Claude Code and Codex operate over untrusted content, files, commands, and workspace state, making safety failures directly actionable. Red-teaming must therefore keep pace with evolving models and tools. Existing approaches mainly optimize attack success and preserve artifacts such as benchmarks, payloads, or attack programs, which record where attacks succeed but not the enabling conditions behind unsafe agent behavior. Authors: Xutao Mao, Xiang Zheng, Cong Wang.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Production LLM agents such as Claude Code and Codex operate over untrusted content, files, commands, and workspace state, making safety failures directly actionable.

Primary paperarxivcs.CR
Original
Automation / Agentic Systems
arXiv7/13/2026
Recently

MM-ToolSandBox: A Unified Framework for Evaluating Visual Tool-Calling Agents

We introduce MM-ToolSandBox, a benchmark and evaluation framework for visually grounded tool-calling agents. The framework provides a stateful execution environment spanning 500+ tools across 16 application domains, supporting multi-image, multi-turn tasks where agents must ground progressively arriving visual inputs into executable tool calls while handling realistic conversational phenomena (goal revisions, error corrections, state mutations). An automated scenario generation pipeline produces diverse, visually grounded scenarios through information-flow-guided planning and multi-stage quality filtering, yielding 258 human-verified nominal scenarios and 50 variants targeting interactive UI applications. Authors: Kaixin Ma, Di Feng, Alexander Metz.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: We introduce MM-ToolSandBox, a benchmark and evaluation framework for visually grounded tool-calling agents.

Primary paperarxivcs.CV
Original
Automation / Agentic Systems
arXiv7/13/2026
Recently

Forgetting Our Way to Shared Meaning: Effects of Forgetting on Conceptual Alignment in a Non-Partnership Coordination Game

Shared meaning in language requires people to learn and agree on categories. We ask how characteristics of agents' memories change the emergence and evolution of shared meaning. Without a coordination game, models of conceptual semantics cannot explain how shared meaning emerges and changes in groups of people; however, existing games assume that players share payoffs in a partnership setting. Authors: Landon Liu, Mary Kelly, Alan Tsang.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Shared meaning in language requires people to learn and agree on categories.

Primary paperarxivcs.MA
Original
Automation / Agentic Systems
arXiv7/13/2026
Recently

Paradoxes of Game Theoretic Equilibria and Price of Anarchy

For decades, static solution concepts (Nash, Correlated, and Coarse Correlated Equilibria) and the Price of Anarchy (PoA) have formed the bedrock of algorithmic game theory, with no-regret learning proving fast convergence to such game-theoretic equilibria. We show that reducing multi-agent learning to static equilibrium and black-box regret analysis obscures underlying dynamic disequilibrium and game theoretic bounds. First, interior Nash equilibria lack C^1 vector field information, meaning agents cannot distinguish aligned from strictly opposing incentives. Authors: Georgios Piliouras, Ian Gemp, Siqi Liu.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: For decades, static solution concepts (Nash, Correlated, and Coarse Correlated Equilibria) and the Price of Anarchy (PoA) have formed the bedrock of algorithmic game theory, with no-regret learning proving fast convergence to such game-theoretic equilibria.

Primary paperarxivcs.GT
Original
Automation / Agentic Systems
arXiv7/13/2026
Recently

When Local Monitors Miss Compositional Harm: Diagnosing Distributed Backdoors in Multi-Agent Systems

As multi-agent, tool-using LLM systems are deployed, a common safety net is a runtime monitor that checks each message, tool call, or step on its own. We show this net has a fundamental hole. A distributed backdoor splits a harmful payload across agents, so every local check passes while the assembled object is the attack. Authors: Yibo Hu, Ren Wang.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: As multi-agent, tool-using LLM systems are deployed, a common safety net is a runtime monitor that checks each message, tool call, or step on its own.

Primary paperarxivcs.CR
Original

Archived section

Research Papers · 5

Research Papers
arXiv7/13/2026
Recently

Supporting Reflection in LLM-based Exploratory Search

Large Language Models (LLMs) can make exploratory search more efficient but may undermine the reflection and iterative sensemaking needed in unfamiliar domains. Existing LLM tools often prioritize rapid answers over supporting users in tracking how their understanding evolves and how well their strategies align with their goals. We present TrailLM, a system that helps users reconstruct and revisit their exploration paths to support reflection and metacognitive engagement during information seeking. Authors: Giulia Di Fede, Salvatore Andolina.

Why it matters

Read this for the paper's specific claim in Research Papers: Large Language Models (LLMs) can make exploratory search more efficient but may undermine the reflection and iterative sensemaking needed in unfamiliar domains.

Primary paperarxivcs.HC
Original
Research Papers
Microsoft Research Blog7/13/2026
Recently

Verifying Rust cryptography in SymCrypt, from standards to code

Cryptographic code supports vital protections in modern computing systems. Learn how a new method helps verify code as developers write it while preserving speed and adaptability as it gets implemented and evolves. The post Verifying Rust cryptography in SymCrypt, from standards to code appeared first on Microsoft Research.

Why it matters

Read this for the official technical update in Research Papers: Cryptographic code supports vital protections in modern computing systems.

Official sourceResearch Blog
Original
Research Papers
arXiv7/13/2026
Recently

HandPad: A Bimanual Hand Interface for Fluid Window Interactions in VR

Virtual Reality (VR) offers potential for productivity work by creating expansive displays anywhere, yet current systems often rely on external input devices that limit the on-the-go use of mobile VR. We introduce HandPad, a suite of bare-hand interaction techniques that leverage the benefits of asymmetric bimanual coordination and self-haptic support. HandPad assigns the non-dominant hand (NDH) to establish spatial frames and interaction contexts, while the dominant hand (DH) performs fine-grained manipulation. Authors: Wen Ying, Adil Rahman, Erzhen Hu.

Why it matters

Read this for the paper's specific claim in Research Papers: Virtual Reality (VR) offers potential for productivity work by creating expansive displays anywhere, yet current systems often rely on external input devices that limit the on-the-go use of mobile VR.

Primary paperarxivcs.HC
Original
Research Papers
arXiv7/13/2026
Recently

"We are all in big trouble! *Shock Emoji": Personal Narratives in Expressing Emotions, Opinions, and Data Regarding Climate Change in TikTok Short Videos

Climate change is a source of anxiety about the future. Understanding how people express themselves about climate change enables us to address such concerns. To study climate change expression on social media, we analyzed 200 TikTok videos tagged with #climatechange, identifying four categories of content: expression-feelings, views-appeals, news-information, and trend-hijacking. Authors: Chu Zhang, Simai Huang, Shaohua Wu.

Why it matters

Read this for the paper's specific claim in Research Papers: Climate change is a source of anxiety about the future.

Primary paperarxivcs.HC
Original
Research Papers
arXiv7/13/2026
Recently

FIERO: Empowering Creative Writing Through Collaborative Game Play

Creativity often flourishes in collaboration, such as when designers brainstorm a new app together, or storytellers collectively build a world with elements of each person's narrative. However, collaborative storytelling can have challenges for its participants, such as when they disagree about the plot proposed, or when different ideas become fragmented when voiced individually. While current tools for creative collaboration focus on synchronous online text sharing, they often neglect the social dynamics of in-person collaboration critical to creative synergy. Authors: Chu Zhang, XiaoKe Zeng, Jin Zhang.

Why it matters

Read this for the paper's specific claim in Research Papers: Creativity often flourishes in collaboration, such as when designers brainstorm a new app together, or storytellers collectively build a world with elements of each person's narrative.

Primary paperarxivcs.HC
Original

Archived section

Embedded Systems · 5

Embedded Systems
arXiv7/13/2026
Recently

MIRA: A Modular Open-Source Micro-UAV for Indoor Research

Indoor robotics research increasingly relies on micro-UAVs whose airframe, electronics, and control software are fully open to modification. Off-the-shelf platforms rarely expose the low-level access required for such modifications, while building a custom alternative typically requires substantial engineering effort before flight testing can begin, leaving many laboratories to work within constraints that limit the scope of their research. We present MIRA (Modular Indoor Research Architecture), a low-cost, open-source micro-UAV for indoor research built around a replicable 3D-printed PLA airframe and a containerized low-level software package managing the companion-to-autopilot communication bridge via Micro XRCE-DDS. Authors: Lucas K. de Oliveira, Felipe A. G. Tommaselli, João Aires Marsicano.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Indoor robotics research increasingly relies on micro-UAVs whose airframe, electronics, and control software are fully open to modification.

Primary paperarxivcs.RO
Original
Embedded Systems
arXiv7/13/2026
Recently

Active Noise Floor Estimation for Reliability-Optimal POMDPs: A Value-of-Noise-Information Approach

Finite Reliability Representations (FRR) certify when a cell-constant policy is sufficient for reliable decision-making in a partially observed system with a known physical noise floor. In practice, however, sensing and execution noise can be latent and context-dependent. This paper develops a certificate-aware active disambiguation framework for an unknown physical noise parameter theta = (sigma_y, sigma_u), with the sensor-only case obtained by fixing sigma_u. Authors: Hyung-Jin Yoon.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Finite Reliability Representations (FRR) certify when a cell-constant policy is sufficient for reliable decision-making in a partially observed system with a known physical noise floor.

Primary paperarxiveess.SY
Original
Embedded Systems
arXiv7/13/2026
Recently

A Compact Top-Loading Robot for Endovascular Interventions: Design, Control and Evaluation

Robot-assisted endovascular intervention can potentially reduce radiation exposure, improve surgeon ergonomics, enable telesurgery, support active assistance and autonomy, and enhance procedural precision. However, existing systems often suffer from limited procedural coverage because constrained patient-side setups, restricted flexibility, and complex instrument exchange hinder clinical workflow integration. This work presents a compact robotic system for endovascular interventions that enables continuous translational and rotational manipulation of standard endovascular instruments. Authors: Jonas Fischer, Lennart Karstensen, Franziska Mathis-Ullrich.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Robot-assisted endovascular intervention can potentially reduce radiation exposure, improve surgeon ergonomics, enable telesurgery, support active assistance and autonomy, and enhance procedural precision.

Primary paperarxivcs.RO
Original
Embedded Systems
arXiv7/13/2026
Recently

Casting Everything to Online API Services? A Survey of Integrating Localized Speech Recognition Models in Robotic Systems

Automatic speech recognition (ASR) has become a critical component of modern robotic systems because it is one of the most natural and intuitive ways for humans to interact with robots. A commonly used method is to directly use API services online. But is that all we can do? Authors: Sheng Li, Jing Li, Felix Schijve.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Automatic speech recognition (ASR) has become a critical component of modern robotic systems because it is one of the most natural and intuitive ways for humans to interact with robots.

Primary paperarxivcs.RO
Original
Embedded Systems
Hackster.io7/13/2026
Recently

Finally, True Privacy for Voice Assistants

Speaking is one of the fastest ways to communicate with a computer, but it comes with an obvious drawback: everyone nearby can hear what you are saying. Whether you are dictating notes in a coffee shop, issuing commands on a train, or asking an AI assistant sensitive questions at work, privacy disappears the moment you open your mouth. Researchers have explored everything from lip reading to electromyography (EMG) in an attempt to solve that problem.

Why it matters

Read this for the engineering context in Embedded Systems: Speaking is one of the fastest ways to communicate with a computer, but it comes with an obvious drawback: everyone nearby can hear what you are saying.

Trusted source
Original

Archived section

Computer Systems · 5

Computer Systems
arXiv7/13/2026
Recently

Can LLMs Perform Deep Technical Comprehension of Computer Architecture Papers?

Can large language models perform deep technical comprehension of computer architecture papers -- not summarization, but structured critique that names the core mechanism, surfaces buried assumptions, and connects a contribution beyond its own scope? We study Gauntlet, an open-source pipeline that analyzes a paper through five independent expert-persona reviewers and an adversarial synthesis stage. On 20 ISCA 2025 and HPCA 2026 papers, ten researchers each wrote their own analyses and then judged, for papers other than their own, the human analysis against Gauntlet's. Authors: Nishant Aggarwal, Ayushi Dubal, Sreeraj Kannakarankodi.

Why it matters

Read this for the paper's specific claim in Computer Systems: Can large language models perform deep technical comprehension of computer architecture papers -- not summarization, but structured critique that names the core mechanism, surfaces buried assumptions, and connects a contribution beyond its own scope?

Primary paperarxivcs.CY
Original
Computer Systems
arXiv7/13/2026
Recently

HiFi-LLP: High-Fidelity, Low-Cost Latency Predictors with Confidence for Robust HW-NAS

With deep neural networks (DNNs) increasingly deployed on edge devices, hardware (HW)-aware optimization techniques--such as HW-aware compression and HW-aware neural architecture search (HW-NAS)--have become essential. These methods rely on real feedback from the target hardware to tailor DNN architectures for efficient deployment. While the search can be parallelized, latency measurements via hardware-in-the-loop (HIL) remain a bottleneck due to their sequential nature. Authors: Shambhavi Balamuthu Sampath, Behzad Shomali, Nael Fasfous.

Why it matters

Read this for the paper's specific claim in Computer Systems: With deep neural networks (DNNs) increasingly deployed on edge devices, hardware (HW)-aware optimization techniques--such as HW-aware compression and HW-aware neural architecture search (HW-NAS)--have become essential.

Primary paperarxivcs.LG
Original
Computer Systems
CNCF Blog7/14/2026
Recently

Is a Pod the right deployment unit for an AI agent?

When we first started building kagent, we didn't run every agent in its own Kubernetes Pod, Service, and ServiceAccount. Instead, agents were simply executed inside the kagent runtime. It was the simplest architecture possible: one runtime...

Why it matters

Read this for the official technical update in Computer Systems: When we first started building kagent, we didn't run every agent in its own Kubernetes Pod, Service, and ServiceAccount.

Official sourceBlog
Original
Computer Systems
Meta Engineering7/13/2026
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Modernizing the Meta Ads Service With an Open-Source Kernel Scheduler

TL; DR At Meta's scale, a few milliseconds of latency degradation can have a significant negative impact on ads performance. ] Read More... The post Modernizing the Meta Ads Service With an Open-Source Kernel Scheduler appeared first on Engineering at Meta.

Why it matters

Read this for the official technical update in Computer Systems: TL; DR At Meta's scale, a few milliseconds of latency degradation can have a significant negative impact on ads performance.

Official sourceML Applications
Original
Computer Systems
LWN.net7/13/2026
Recently

Shielding running kernels against exploits with BPF

Cisco has some unusual challenges when it comes to deploying security patches across the company's many devices running custom kernels. John Fastabend spoke about his work preventing exploits with BPF at the 2026 Linux Storage, Filesystem, Memory-Management, and BPF Summit. The technique could substantially reduce the time necessary to respond to kernel vulnerabilities, but it will not be fully effective unless more hooks are added to the kernel.

Why it matters

Read this for the concrete reporting in Computer Systems: Cisco has some unusual challenges when it comes to deploying security patches across the company's many devices running custom kernels.

Trusted source
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Archived section

Developer Tools / Open Source · 5

Developer Tools / Open Source
arXiv7/13/2026
Recently

Self-Healing Visual Recovery for Autonomous Ground Vehicles Using Camera-Only Visual Odometry

Low-cost unmanned ground vehicles are often used in indoor places like warehouses, inspection corridors, and farm rows, where painted floor lines guide the robot. Line following is useful because it only needs one camera and little computing power, but it can fail when the line is blocked or turns sharply and goes out of view. Sensor-rich platforms tolerate this through hardware redundancy (LiDAR, GPS, multiple cameras), but camera-only systems must recover at runtime with no additional infrastructure. Authors: Jakob Solberg Berntzen, Safia Fatima, Leon Moonen.

Why it matters

Read this for the paper's specific claim in Developer Tools / Open Source: Low-cost unmanned ground vehicles are often used in indoor places like warehouses, inspection corridors, and farm rows, where painted floor lines guide the robot.

Primary paperarxivcs.RO
Original
Developer Tools / Open Source
arXiv7/13/2026
Recently

Evaluating RE Practices for Explainability: Synthesizing Insights from Daimler Truck into an Explainable RE Framework Proposal

Explainability has emerged as a critical requirement for AI-based systems, particularly in safety-critical and regulated domains. Although prior research has proposed frameworks, patterns, and user-centered approaches to support explainability, there is limited empirical understanding of how existing Requirements Engineering (RE) practices support explainability requirements across the RE lifecycle, especially in an industrial context. This paper reports early findings from an ongoing industry-based study investigating how explainability requirements are elicited, specified, and validated using established RE techniques. Authors: Umm-e- Habiba, Lucas Mauser, Jonas Fritzsch.

Why it matters

Read this for the paper's specific claim in Developer Tools / Open Source: Explainability has emerged as a critical requirement for AI-based systems, particularly in safety-critical and regulated domains.

Primary paperarxivcs.SE
Original
Developer Tools / Open Source
Vercel Blog7/13/2026
Recently

Chat SDK adds X adapter support

X adapter Teams can build bots that reply to public mentions and hold direct message conversations through the X API v2 and the. X Activity API Likes are the only supported reaction, and responses post once on completion since X has no native streaming.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: X adapter Teams can build bots that reply to public mentions and hold direct message conversations through the X API v2 and the.

Official source
Original
Developer Tools / Open Source
arXiv7/13/2026
Recently

Which Optimizer, At What Budget? A Tournament of Optimizers for Search-Based SE

Configuring and tuning modern software is unavoidable, expensive, and error-prone: a single system can expose hundreds of interacting options, and scoring one setting can mean a full build or test run. The standard response is automated optimization, but the number of available optimizers is large and growing. And some of the guidance for selecting among them is misleading: NSGA-II, for example, is widely recommended, yet other algorithms reach the same results using only 1/20th as many evaluations. Authors: Kishan Kumar Ganguly, Tim Menzies.

Why it matters

Read this for the paper's specific claim in Developer Tools / Open Source: Configuring and tuning modern software is unavoidable, expensive, and error-prone: a single system can expose hundreds of interacting options, and scoring one setting can mean a full build or test run.

Primary paperarxivcs.SE
Original
Developer Tools / Open Source
Vercel Blog7/12/2026
Recently

Manage Vercel Flags targeting rules from the CLI

You can now manage targeting rules for through the. Vercel FlagsVercel CLIvercel flags rules Rules you create from the CLI use the same model as the dashboard. Conditions can target or reusable, outcomes can serve a single variant, a weighted split, or a progressive rollout, and rules evaluate top to bottom.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: You can now manage targeting rules for through the.

Official source
Original

Archived section

Cloud / Infrastructure · 5

Cloud / Infrastructure
Netflix Tech Blog7/13/2026
Recently

Building Service Topology at Scale: Architecture, Challenges, and Lessons Learned

By Parth Jain, Rakesh Sukumar, Yingwu Zhao, Renzo Sanchez-Silva & Nathan Fisher A deep dive into the engineering challenges of building a real-time service dependency map at Netflix scale: from streaming architectures and distributed aggregation pipelines to time-travel queries and the methodology that made it work. Introduction In our first post, we introduced the problem: engineers at Netflix needed a unified, real-time view of service dependencies to troubleshoot faster, understand blast radius, and navigate our distributed architecture. We described our multi-source approach, combining eBPF network flows, IPC metrics, and distributed tracing into physically separate graph layers that can be queried independently or merged into a comprehensive view.

Why it matters

Read this for the engineering context in Cloud / Infrastructure: By Parth Jain, Rakesh Sukumar, Yingwu Zhao, Renzo Sanchez-Silva & Nathan Fisher A deep dive into the engineering challenges of building a real-time service dependency map at Netflix scale: from streaming architectures and distributed aggregation pipelines to time-travel queries and the methodology that made it work.

Trusted sourcebackend-developmentdistributed-systems
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Cloud / Infrastructure
Kubernetes Blog7/13/2026
Recently

Kubernetes Dashboard to Headlamp: A Step-by-Step Guide

1. Before you start: know what is changing Kubernetes Dashboard and Headlamp both show what is running in a cluster, but they work differently. When Headlamp runs on the desktop, it uses your existing kubeconfig to connect to one or more clusters and can be extended with plugins.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: Before you start: know what is changing Kubernetes Dashboard and Headlamp both show what is running in a cluster, but they work differently.

Official source
Original
Cloud / Infrastructure
AWS Architecture Blog7/13/2026
Recently

How MAPFRE USA modernized fraud claims with Amazon EMR Serverless

Insurance fraud remains a significant challenge for the insurance industry. Fraudulent claims can increase loss costs, reduce trust, and consume investigation capacity that could otherwise be focused on serving customers. Traditional fraud detection approaches typically rely on rules-based controls, manual investigation triggers, historical claim patterns, and structured-data-only analysis.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: Insurance fraud remains a significant challenge for the insurance industry.

Official sourceAmazon EMRAmazon Managed Workflows for Apache Airflow (Amazon MWAA)
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Cloud / Infrastructure
AWS Blog7/13/2026
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AWS Weekly Roundup: AWS Builder Center at 1 year, Network Scanning in Security Hub, Loom for AWS, and more (July 13, 2026)

AWS Builder Center turned one year old last week. Launched on July 9, 2025, the platform has grown from a community hub with Wishlist voting, community profiles, and a toolbox into a full ecosystem with sandbox environments, workshops, Spaces, and a Builders' Library.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: AWS Builder Center turned one year old last week.

Official sourceAmazon AuroraAmazon Elastic Container Service
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Cloud / Infrastructure
AWS Architecture Blog7/13/2026
Recently

Unlocking the future of video data: March Networks cloud storage on AWS

Enterprise video surveillance is operating at an unprecedented scale as organizations across retail, banking, quick-service restaurants (QSR), convenience stores, and transportation networks generate petabytes of video data across thousands of distributed locations.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: Enterprise video surveillance is operating at an unprecedented scale as organizations across retail, banking, quick-service restaurants (QSR), convenience stores, and transportation networks generate petabytes of video data across thousands of distributed locations.

Official sourceAmazon Simple Storage Service (S3)Customer Solutions
Original