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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 · 4

Archived section

Artificial Intelligence / Machine Learning · 5

Artificial Intelligence / Machine Learning
arXiv7/16/2026
Recently

Self-Evolving Human-Centered Framework for Explainable Depression Symptom Annotation

Annotation quality is a major bottleneck in building reliable and explainable artificial intelligence (XAI) systems for mental health research. In depression-related datasets, labels are often assigned without structured evidence, symptom-level justification, or traceable alignment with the criteria of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision (DSM-5-TR), limiting both transparency and downstream model interpretability. We propose a self-evolving, expert-in-the-loop annotation framework for Major Depressive Disorder (MDD) that combines large language model (LLM)-assisted labeling with expert verification. Authors: Hoang-Loc Cao, Van Pham, Truong Thanh Hung Nguyen.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Annotation quality is a major bottleneck in building reliable and explainable artificial intelligence (XAI) systems for mental health research.

Primary paperarxivcs.AI
Original
Artificial Intelligence / Machine Learning
arXiv7/14/2026
Recently

ViHoRec: A Quality-Controlled Vietnamese Hotel Recommendation Dataset and Cold-Start Benchmark

Recommender-system research for Vietnamese remains limited by the absence of a public, well-documented hotel interaction resource. Building such a resource is challenging for three reasons: cross-platform hotel names must be reconciled before interactions are comparable; quality must be audited with reproducible metrics rather than ad hoc cleaning; and public release must preserve privacy while remaining benchmarkable under realistic cold-start conditions. com, Traveloka, and Ivivu. Authors: Minh Hoang Nguyen.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Recommender-system research for Vietnamese remains limited by the absence of a public, well-documented hotel interaction resource.

Primary paperarxivcs.IR
Original
Artificial Intelligence / Machine Learning
arXiv7/16/2026
Recently

teLLMe Why (Ain't Nothing but a Jam): Exploratory Causal Analysis of Urban Driving Data

Traffic agencies now have access to large volumes of video-derived data for studying safety and congestion. " difficult to answer. We present teLLMe, a system for exploratory causal analysis of urban driving datasets. Authors: Qiwei Li, Jorge Ortiz.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Traffic agencies now have access to large volumes of video-derived data for studying safety and congestion.

Primary paperarxivcs.AI
Original
Artificial Intelligence / Machine Learning
arXiv7/14/2026
Recently

Real-time fall detection based on vision for low-power edge platforms

Falling detection is vital for elderly care and intelligent surveillance; however, prevailing vision-based approaches predominantly frame it as static pose classification or discrete temporal pattern matching, fundamentally overlooking the instability dynamics of the human support system. This paper proposes a physics-informed falling detection framework that recasts falling as a stability-loss event in a coupled dynamical system. We introduce a novel dual-LTC architecture comprising a Center-of-Mass (CoM) subsystem and a Base-of-Support (BoS) subsystem, both instantiated as Liquid Time-Constant (LTC) neural networks to continuously model inertial trajectory evolution and ground-contact adjustment through adaptive time constants, Physical interpretability of falling motion. Authors: Wenjun Xia, Zhicheng Peng, Haopeng Li.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Falling detection is vital for elderly care and intelligent surveillance; however, prevailing vision-based approaches predominantly frame it as static pose classification or discrete temporal pattern matching, fundamentally overlooking the instability dynamics of the human support system.

Primary paperarxivq-bio.NC
Original
Artificial Intelligence / Machine Learning
arXiv7/15/2026
Recently

Earthquaker-AI: A Retrieval-Augmented Generation Framework with Rubric-Based Assessment for Primary School Earthquake Education

This paper presents Earthquaker-AI, a hybrid educational framework building upon a previously implemented educational robotics project by integrating a conversational AI assistant based on Retrieval-Augmented Generation. It aims to enhance earthquake preparedness and conscious action among primary-school students. The system extends the award-winning STEM project Earthquaker moving from mechanical simulation with Lego WeDo2 to cognitive and metacognitive processing. Authors: Xanthi Kokkinou, Chaido Mizeli, Nafsika Koulaxidou.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: presents Earthquaker-AI, a hybrid educational framework building upon a previously implemented educational robotics project by integrating a conversational AI assistant based on Retrieval-Augmented Generation.

Primary paperarxivcs.AI
Original

Archived section

Automation / Agentic Systems · 5

Automation / Agentic Systems
arXiv7/16/2026
Recently

Setup Complete, Now You Are Compromised: Weaponizing Setup Instructions Against AI Coding Agents

AI coding agents set up projects by reading documentation and installing the dependencies it lists, without verifying their names, sources, or known vulnerabilities. By editing only a README, requirements file, or Makefile, an attacker can redirect the agent to an untrusted registry, a known-vulnerable version, or a wrong-but-plausible name: documentation becomes a vector for code execution. We present the first systematic evaluation of package-install-time supply-chain attacks delivered through ordinary project-setup documentation across production coding-agent harnesses, probing frontier models on twelve scenarios in five attack classes, grounded in documented incidents. Authors: Aadesh Bagmar, Pushkar Saraf.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: AI coding agents set up projects by reading documentation and installing the dependencies it lists, without verifying their names, sources, or known vulnerabilities.

Primary paperarxivcs.CR
Original
Automation / Agentic Systems
arXiv7/16/2026
Recently

SciDiagramEdit: Learning to Edit Scientific Diagrams from Paper Revisions

Editing the figures in a research paper is a routine and time-consuming part of everyday research practice: authors relabel components, rearrange panels, and restyle visuals as they revise their manuscripts. Automating this editing workflow under a natural-language instruction, however, is challenging, because a scientific figure is a dense infographic in which heterogeneous visual elements such as schematics, plots, photos, captions, and arrows are composed under a tight visual grammar to advance a specific argument. To address this, we present SciDiagramEdit, a benchmark and skill-evolution framework that learns from natural paper revisions and operates on the figure's editable vector source, where users can inspect and co-edit individual primitives alongside the agent. Authors: Yasheng Sun, Zezi Zeng, Yifan Yang.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Editing the figures in a research paper is a routine and time-consuming part of everyday research practice: authors relabel components, rearrange panels, and restyle visuals as they revise their manuscripts.

Primary paperarxivcs.CL
Original
Automation / Agentic Systems
arXiv7/16/2026
Recently

ARMOR++: Agentic Orchestration of a Multi-Domain Primitive Set for Transferable Attacks on Deepfake Detectors

The reliability of deepfake detectors frequently degrades under black-box adversarial transfer, as these models often rely on fragile, architecture-dependent forensic cues. Existing transfer attacks often lack semantic awareness and struggle to maintain effectiveness under strict no-query constraints, particularly when perturbations are transferred from convolutional surrogates to transformer-based targets. To address these limitations, this paper introduces ARMOR++, a robust multi-agent framework designed for high-transferability deepfake evasion. Authors: Christos Korgialas, Gabriel Lee Jun Rong, Dion Jia Xu Ho.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: The reliability of deepfake detectors frequently degrades under black-box adversarial transfer, as these models often rely on fragile, architecture-dependent forensic cues.

Primary paperarxivcs.CV
Original
Automation / Agentic Systems
arXiv7/16/2026
Recently

AutoSynthesis: An agentic system for automated meta-analysis

Evidence synthesis is crucial for turning primary research into reliable knowledge for science, medicine, education, and policy. Yet, quantitative evidence synthesis remains largely manual and difficult to scale. Here, we introduce AutoSynthesis, an end-to-end multi-agent system for automated meta-analysis. Authors: Moein Taherinezhad, Sebastian Maier, Gerardo Vitagliano.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Evidence synthesis is crucial for turning primary research into reliable knowledge for science, medicine, education, and policy.

Primary paperarxivcs.AI
Original
Automation / Agentic Systems
arXiv7/16/2026
Recently

Beyond Success Rate: Cost-Aware Evaluation of Offensive and Defensive Security Agents

Security-agent evaluations commonly measure peak offensive capability under generous inference budgets, emphasizing vulnerability discovery, exploit development, penetration testing, and CTF completion. Such measurements are useful but incomplete: in operational security, every reasoning step, tool call, telemetry query, and enrichment request consumes budget. We evaluate language-model security agents through this cost-success lens on offensive Cybench challenges and defensive Splunk BOTS v1 investigation challenges. Authors: Paul Kassianik, Blaine Nelson, Yaron Singer.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Security-agent evaluations commonly measure peak offensive capability under generous inference budgets, emphasizing vulnerability discovery, exploit development, penetration testing, and CTF completion.

Primary paperarxivcs.CR
Original

Archived section

Research Papers · 5

Research Papers
arXiv7/15/2026
Recently

HORCRUX: A Complete PQC RISC-V eXtension Architecture

This work presents a compact RISC-V extension for Post-Quantum Cryptography (PQC) called HORCRUX, which provides a unified Instruction-Set Extension (ISE) supporting all NIST-approved PQC algorithms. HORCRUX addresses the difficult trade-off between crypto-agility, high performance, and low resource consumption in constrained environments, a balance typically missing in hardware extensions that focus on limited PQC subsets. By targeting shared kernels across ML-KEM, MLDSA, SLH-DSA, HQC, and Falcon, the extension introduces new RISC-V instructions executed by a resource-efficient, tightly coupled coprocessor. Authors: Alessandra Dolmeta, Valeria Piscopo, Michael Hutter.

Why it matters

Read this for the paper's specific claim in Research Papers: This work presents a compact RISC-V extension for Post-Quantum Cryptography (PQC) called HORCRUX, which provides a unified Instruction-Set Extension (ISE) supporting all NIST-approved PQC algorithms.

Primary paperarxivcs.CR
Original
Research Papers
arXiv7/16/2026
Recently

DataShield: Uncovering Risky Fine-Tuning Data Across LLMs Through Consensus Subspace Alignment

Fine-tuning large language models (LLMs) on domain-specific datasets has become a standard paradigm for adapting LLMs to specialized applications. However, recent work has shown that even fine-tuning on benign task-specific data can substantially weaken the safety capabilities of LLMs. While existing efforts have made progress in identifying data responsible for safety degradation, they usually rely on a single mean vector computed over a specific model with its tokenizer to represent the safety direction, which limits both the effectiveness and transferability of their risk assessment measures. Authors: Zefeng Wu, Weiwei Qi, Jielong Chen.

Why it matters

Read this for the paper's specific claim in Research Papers: Fine-tuning large language models (LLMs) on domain-specific datasets has become a standard paradigm for adapting LLMs to specialized applications.

Primary paperarxivcs.CR
Original
Research Papers
arXiv7/14/2026
Recently

GraphPolaris: A System for Query, Analysis, and Visualization of Graph Databases

Graph databases are increasingly adopted as alternatives to tabular, aggregation-focused data models used in business intelligence (BI) systems such as Tableau, Power BI, and Looker. They capture complex relationships between entities, processes, and events, enabling analysis of information propagation in networks. As a result, graph analysis is central to applications such as fraud detection, social influence analysis, and supply chain resilience. Authors: Michael Behrisch, Sjoerd Vink, Leonardo Christino.

Why it matters

Read this for the paper's specific claim in Research Papers: Graph databases are increasingly adopted as alternatives to tabular, aggregation-focused data models used in business intelligence (BI) systems such as Tableau, Power BI, and Looker.

Primary paperarxivcs.HC
Original
Research Papers
arXiv7/16/2026
Recently

Automated Template-free Synthesis of Instruction-Centric Leakage Contracts for Black-Box CPUs

Side-channel attacks pose a significant security threat for modern computing platforms, because they exploit subtle discrepancies in CPU behaviors to leak sensitive information. To model the information leaked by a CPU via microarchitectural side-channels, recent work proposed leakage contracts: an ISA-level security abstraction that provides the foundations for secure CPU programming. Unfortunately, due to the complexity of current microarchitectures, devising a leakage contract for a CPU requires extensive manual effort and thus modern CPUs lack dedicated leakage contracts. Authors: Elvira Moreno, Tiziano Marinaro, Ryan Williams.

Why it matters

Read this for the paper's specific claim in Research Papers: Side-channel attacks pose a significant security threat for modern computing platforms, because they exploit subtle discrepancies in CPU behaviors to leak sensitive information.

Primary paperarxivcs.CR
Original
Research Papers
arXiv7/14/2026
Recently

Sensing the properties of virtual objects without physical feedback

People who have interacted with simulated worlds and simulated objects in extended reality (XR) often have a sense that they can 'feel' the objects being simulated despite them not being physical. Our sense of touch is essential for how we 'feel' the physical world, however, there is an open question as to what it means to 'feel' virtual objects when interacting with them in immersive digital environments. In prior research, we have reported that participants often describe a subjective experience of 'feeling' the properties of simulated molecular objects while using interactive molecular dynamics in extended reality (iMD-XR), a field-based interaction paradigm for manipulating real-time simulations of molecular objects without haptic feedback. Authors: Rhoslyn Roebuck Williams, Harry J. Stroud, Luis E. Toledo.

Why it matters

Read this for the paper's specific claim in Research Papers: People who have interacted with simulated worlds and simulated objects in extended reality (XR) often have a sense that they can 'feel' the objects being simulated despite them not being physical.

Primary paperarxivcs.HC
Original

Archived section

Embedded Systems · 5

Embedded Systems
arXiv7/16/2026
Recently

Integrated Discovery and State-Aware Servicing for Mobile AUVs With UOWC: Modeling and Performance Analysis

Underwater wireless optical communication (UWOC) is an enabling technology for high-throughput subsea networks, yet its long-term deployment is constrained by the finite energy budget of underwater nodes. To address this challenge, we investigate a mobile system wherein an autonomous underwater vehicle (AUV) performs joint wireless information transfer (WIT) and wireless power transfer (WPT) for a network of randomly distributed sensor nodes. This paper develops \textcolorbluean integrated mission-level framework that combines stochastic node discovery with state-aware servicing. Authors: Qiyu Ma, Jiajie Xu, Mohamed-SlimAlouini.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Underwater wireless optical communication (UWOC) is an enabling technology for high-throughput subsea networks, yet its long-term deployment is constrained by the finite energy budget of underwater nodes.

Primary paperarxiveess.SY
Original
Embedded Systems
Hackaday7/17/2026
Recently

Wireless LCD Streaming for the ANENG AN870 Multimeter

Having the information shown on the display of a digital multimeter also recorded off-screen can be incredibly useful, but unless the device exposes something like SCPI on a network interface, …read more

Why it matters

Read this for the engineering context in Embedded Systems: Having the information shown on the display of a digital multimeter also recorded off-screen can be incredibly useful, but unless the device exposes something like SCPI on a network interface, …read more

Trusted sourceReverse EngineeringTool Hacks
Original
Embedded Systems
Raspberry Pi News7/15/2026
Recently

Run Ultralytics YOLO on Raspberry Pi with OpenVINO

A practical guide to deploying Ultralytics YOLO computer vision models on Raspberry Pi with OpenVINO. The post Run Ultralytics YOLO on Raspberry Pi with OpenVINO appeared first on Raspberry Pi.

Why it matters

Read this for the official technical update in Embedded Systems: A practical guide to deploying Ultralytics YOLO computer vision models on Raspberry Pi with OpenVINO.

Official sourceRaspberry Pi AIAI
Original
Embedded Systems
NVIDIA Technical Blog7/15/2026
Recently

Building Faster Cryptography with Carryless Multiplication in NVIDIA CUDA 13.3

For over fifteen years, x86 CPUs have shipped with a dedicated hardware instruction for carryless multiplication. It's a small but stubborn primitive that... For over fifteen years, x86 CPUs have shipped with a dedicated hardware instruction for carryless multiplication.

Why it matters

Read this for the official technical update in Embedded Systems: For over fifteen years, x86 CPUs have shipped with a dedicated hardware instruction for carryless multiplication.

Official source
Original
Embedded Systems
Hackster.io7/14/2026
Recently

This DIY E Ink Display Brings Local Bird Sightings to Your Wall

Birdwatching involves a lot more than a pair of binoculars these days. Apps can identify birds by sight or sound, online databases track sightings from around the world, and AI can help classify species. But despite all of that technology, there is still something special about the traditional illustrated field guides used by generations of bird enthusiasts.

Why it matters

Read this for the engineering context in Embedded Systems: Birdwatching involves a lot more than a pair of binoculars these days.

Trusted source
Original

Archived section

Computer Systems · 5

Computer Systems
arXiv7/16/2026
Recently

Campaign Diagrams: Visualizing the March Through the Phases of a Workload

We present campaign diagrams, a visualization technique for phase-level analysis of resource utilization and bottlenecks in modern workloads. Existing tools have a trade-off: rooflines aggregate a workload into a single point and lose all notion of time, while profilers and traces expose fine-grained events but obscure what bounds performance. Instead, a campaign diagram depicts compute throughput and memory bandwidth utilization, compute and memory traffic volume, and latency in a single figure. Authors: Toluwanimi O. Odemuyiwa, John D. Owens, Michael Pellauer.

Why it matters

Read this for the paper's specific claim in Computer Systems: We present campaign diagrams, a visualization technique for phase-level analysis of resource utilization and bottlenecks in modern workloads.

Primary paperarxivcs.PF
Original
Computer Systems
AWS Architecture Blog7/16/2026
Recently

Prioritize your AWS Health alerts using AWS User Notifications

If you run critical workloads on AWS, such as a contact center on Amazon Connect Customer, database workloads on Amazon Relational Database Service (Amazon RDS), or hybrid connectivity through AWS Direct Connect, service health events demand your attention. But not all events are equal.

Why it matters

Read this for the official technical update in Computer Systems: If you run critical workloads on AWS, such as a contact center on Amazon Connect Customer, database workloads on Amazon Relational Database Service (Amazon RDS), or hybrid connectivity through AWS Direct Connect, service health events demand your attention.

Official sourceAWS HealthAWS User Notifications
Original
Computer Systems
arXiv7/14/2026
Recently

Proceedings of HLPP 2026: 19th International Symposium on High-Level Parallel Programming and Applications

This volume contains the ten peer-reviewed papers presented at HLPP 2026, the 19th International Symposium on High-Level Parallel Programming and Applications, held on 9-10 July 2026 at the Institut Henri Poincare in Paris, France. The symposium covers high-level approaches to parallel programming: programming models, languages, libraries, algorithmic skeletons, compilers, and runtime systems for multi-core, GPU, and distributed platforms. The 2026 edition extended this scope towards artificial intelligence, with new topics on the parallel programming and performance of AI systems and on AI-assisted generation of parallel code, and opened with a dedicated session on parallelism and AI. Authors: Chong Li, Corinne Ancourt, Gaétan Hains.

Why it matters

Read this for the paper's specific claim in Computer Systems: This volume contains the ten peer-reviewed papers presented at HLPP 2026, the 19th International Symposium on High-Level Parallel Programming and Applications, held on 9-10 July 2026 at the Institut Henri Poincare in Paris, France.

Primary paperarxivcs.DC
Original
Computer Systems
AWS Compute Blog7/17/2026
Recently

Introducing self-managed Amazon S3 buckets for AWS Lambda function code

If you manage Lambda functions at scale, you've likely hit the 75 GB code storage limit or explained to your security team why deployment artifacts live in an S3 bucket you don't control. Today, we're announcing self-managed Amazon S3 buckets for AWS Lambda deployment packages.

Why it matters

Read this for the official technical update in Computer Systems: If you manage Lambda functions at scale, you've likely hit the 75 GB code storage limit or explained to your security team why deployment artifacts live in an S3 bucket you don't control.

Official sourceAmazon Simple Storage Service (S3)AWS Lambda
Original
Computer Systems
LWN.net7/15/2026
Recently

Topics in filesystem testing

It should come as no surprise that a gathering of filesystem developers would discuss filesystem testing; it has been a mainstay of the Linux Storage, Filesystem, Memory Management, and BPF Summit over the years and the 2026 summit was no exception. Ted Ts'o led the discussion this time; he had a few different topics to raise, including his perception of increasing regressions for ext4 in the stable kernels and what can be done to help reduce them. As with other similar sessions at the summit over the years, there is a lot of interest in collaborating on test inputs and outputs, but finding a way to centralize that information has so far eluded the filesystem community.

Why it matters

Read this for the concrete reporting in Computer Systems: It should come as no surprise that a gathering of filesystem developers would discuss filesystem testing; it has been a mainstay of the Linux Storage, Filesystem, Memory Management, and BPF Summit over the years and the 2026 summit was no exception.

Trusted source
Original

Archived section

Developer Tools / Open Source · 5

Developer Tools / Open Source
arXiv7/16/2026
Recently

Navigating the Socio-Technical Complexity Challenge in Quantum Software Ecosystems

Quantum computing environments are composed of heterogeneous layers spanning hardware, software development kits, and applications. Practitioners curating these environments face a fragmented and rapidly evolving landscape with few principled guides for navigation. This paper presents a framework for evaluating quantum computing environment choices through a socio-technical lens, developed using Design Science Research methodology. Authors: Ronja Heikkinen, Santiago Núñez-Corrales, Vlad Stirbu.

Why it matters

Read this for the paper's specific claim in Developer Tools / Open Source: Quantum computing environments are composed of heterogeneous layers spanning hardware, software development kits, and applications.

Primary paperarxivcs.SE
Original
Developer Tools / Open Source
arXiv7/16/2026
Recently

MM-IssueLoc: A Controlled Benchmark for Evaluating Visual Evidence in Multimodal Repository-Level Issue Localization

Real repository issues routinely include visual evidence such as screenshots, error dialogs, rendered UI states, and logs, yet repository-level issue localization is evaluated mostly as a text-only task. Existing multimodal SE benchmarks evaluate end-to-end repair, entangling localization with patch synthesis and obscuring whether visual input helped, hurt, or was ignored. We introduce MM-IssueLoc, a controlled benchmark and evaluation protocol for repository-level localization with visual evidence. Authors: Shaoxiong Zhan, Shi Hu, Boyu Feng.

Why it matters

Read this for the paper's specific claim in Developer Tools / Open Source: Real repository issues routinely include visual evidence such as screenshots, error dialogs, rendered UI states, and logs, yet repository-level issue localization is evaluated mostly as a text-only task.

Primary paperarxivcs.SE
Original
Developer Tools / Open Source
Vercel Blog7/16/2026
Recently

Runtime logs now show cache reasons

Runtime logs now show a Cache Reason explaining why a request wasn't a fresh cache hit, for example a time-based or tag-based revalidation. Use cache reasons to debug misses and improve your hit rate. Cache reasons appear for any response the CDN can cache, including ISR, Partial Prerendering, and functions that set a header with directives like.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: Runtime logs now show a Cache Reason explaining why a request wasn't a fresh cache hit, for example a time-based or tag-based revalidation.

Official source
Original
Developer Tools / Open Source
GitHub Blog7/15/2026
Recently

GitHub for Beginners: Your roadmap to mastering the GitHub essentials

New to GitHub? This beginner's guide explains version control, repositories, and pull requests—plus everything else you need to start working confidently on GitHub. The post GitHub for Beginners: Your roadmap to mastering the GitHub essentials appeared first on The GitHub Blog.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: This beginner's guide explains version control, repositories, and pull requests—plus everything else you need to start working confidently on GitHub.

Official sourceDeveloper skillsGitHub
Original
Developer Tools / Open Source
arXiv7/16/2026
Recently

Capturing and Exploiting Design Pattern Variability in Mobile Application Generation

The increasing reliance on automatic code generation in mobile application development often leads to code that neglects fundamental design principles and architectural quality. In this work, we address this challenge by capturing and exploiting the inherent variability of software design patterns to systematically generate customizable and well-structured mobile applications. We propose the use of the Universal Variability Language (UVL) to explicitly model the structural and behavioral variation points of common design patterns, such as Singleton, Strategy, Observer, Adapter, and Factory Method. Authors: Ramón Peralta, Jose-Miguel Horcas.

Why it matters

Read this for the paper's specific claim in Developer Tools / Open Source: The increasing reliance on automatic code generation in mobile application development often leads to code that neglects fundamental design principles and architectural quality.

Primary paperarxivcs.SE
Original

Archived section

Cloud / Infrastructure · 4

Cloud / Infrastructure
CNCF Blog7/16/2026
Recently

Running a self-hosted LLM in Kubernetes with vLLM

Running large language model (LLM) workloads in-house is one of several patterns teams adopt alongside managed API services. Managed API services are convenient and well suited to many workloads. Self-hosting is a complementary option that some...

Why it matters

Read this for the official technical update in Cloud / Infrastructure: Running large language model (LLM) workloads in-house is one of several patterns teams adopt alongside managed API services.

Official sourceBlog
Original
Cloud / Infrastructure
AWS Architecture Blog7/14/2026
Recently

How Mapfre USA modernized fraud claims with Amazon EMR Serverless

Insurance fraud remains a significant challenge for the insurance industry because 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 because fraudulent claims can increase loss costs, reduce trust, and consume investigation capacity that could otherwise be focused on serving customers.

Official sourceAmazon EMRAmazon Managed Workflows for Apache Airflow (Amazon MWAA)
Original
Cloud / Infrastructure
AWS Architecture Blog7/15/2026
Recently

How bitdrift scaled to 121 million concurrent gRPC connections on Amazon CloudFront for live telemetry sporting events

When 121 million mobile devices establish persistent gRPC connections to your origin infrastructure within seconds of a live broadcast, the routing policy behind your DNS records matters far more than it does at normal traffic levels.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: When 121 million mobile devices establish persistent gRPC connections to your origin infrastructure within seconds of a live broadcast, the routing policy behind your DNS records matters far more than it does at normal traffic levels.

Official sourceAmazon CloudFrontNetworking & Content Delivery
Original
Cloud / Infrastructure
CNCF Blog7/15/2026
Recently

HAMi becomes a CNCF incubating project

The CNCF Technical Oversight Committee (TOC) has voted to accept HAMi as a CNCF incubating project. About HAMi Modern AI infrastructure teams run into the same problem over and over: expensive GPUs often sit fragmented and...

Why it matters

Read this for the official technical update in Cloud / Infrastructure: The CNCF Technical Oversight Committee (TOC) has voted to accept HAMi as a CNCF incubating project.

Official sourceBlog
Original