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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
arXiv6/29/2026
Recently

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms

We present APRIL-MedSeg, a YAML-driven modular framework for 2D medical image segmentation. It provides a unified and extensible ecosystem that decomposes segmentation networks into reusable components. Also, the framework integrates a broad spectrum of advanced paradigms, including semi-supervised learning, domain adaptation, knowledge distillation, weakly supervised learning, and text-guided segmentation as well as foundation model support. Authors: Juntao Jiang, Jinsheng Bai, Linxuan Fan.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: We present APRIL-MedSeg, a YAML-driven modular framework for 2D medical image segmentation.

Primary paperarxivcs.CV
Original
Artificial Intelligence / Machine Learning
arXiv6/29/2026
Recently

Optimization Dynamics Imprint Semantic Specificity in Contrastive Embedding Norms

Contrastive embedding models trained with scale-invariant losses are typically paired with distance metrics like cosine similarity, effectively ignoring embedding magnitudes. However, surprisingly, empirical studies reveal that despite this, these "discarded" norms seem to correlate with semantic properties such as concept specificity, token frequency, and human uncertainty. In this work, we provide a formal theoretical framework explaining this phenomenon. Authors: Ziwei Su, Junyu Ren, Victor Veitch.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Contrastive embedding models trained with scale-invariant losses are typically paired with distance metrics like cosine similarity, effectively ignoring embedding magnitudes.

Primary paperarxivstat.ML
Original
Artificial Intelligence / Machine Learning
arXiv6/29/2026
Recently

LeVo 2: Stable and Melodious Song Generation via Hierarchical Representation Modeling and Progressive Post-Training

Full-length song generation must preserve coherence and musicality, render detailed vocal and accompaniment acoustics, and follow lyrics and prompts. Existing language model-based systems face a structural trade-off: mixed-token modeling preserves vocal-instrument coordination but obscures track-specific details, whereas dual-track prediction improves acoustics but requires longer sequences and weakens global planning. We present LeVo 2, a hybrid LLM-Diffusion framework for controllable full-length song generation. Authors: Shun Lei, Huaicheng Zhang, Dapeng Wu.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Full-length song generation must preserve coherence and musicality, render detailed vocal and accompaniment acoustics, and follow lyrics and prompts.

Primary paperarxivcs.SD
Original
Artificial Intelligence / Machine Learning
Microsoft Research Blog6/29/2026
Recently

Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity

AI agents can't remember past conversations. They must constantly reload or retrieve context, which grows less efficient as tasks get longer and more complex. Memora solves this with a scalable memory system separating what's stored from how it's retrieved.

Why it matters

Read this for the official technical update in Artificial Intelligence / Machine Learning: They must constantly reload or retrieve context, which grows less efficient as tasks get longer and more complex.

Official sourceResearch Blog
Original
Artificial Intelligence / Machine Learning
NVIDIA Technical Blog6/29/2026
Recently

How to Govern Autonomous Agents in Enterprise AI Factories

AI agents are quickly moving beyond chat. They inspect code, run tests, read documents, search knowledge bases, query internal systems, and operate for hours on... AI agents are quickly moving beyond chat.

Why it matters

Read this for the official technical update in Artificial Intelligence / Machine Learning: They inspect code, run tests, read documents, search knowledge bases, query internal systems, and operate for hours on...

Official source
Original

Archived section

Automation / Agentic Systems · 5

Automation / Agentic Systems
arXiv6/29/2026
Recently

SWE-INTERACT: Reimagining SWE Benchmarks as User-Driven Long-Horizon Coding Sessions

We introduce SWE-Interact, a new testbed for evaluating coding agents on multi-turn, interactive, user-driven software engineering tasks. Existing frontier SWE benchmarks typically provide complete requirements upfront and evaluate agents on autonomous implementation. In contrast, SWE-Interact places agents in a realistic developer workflow: a carefully designed user simulator starts with vague or incomplete instructions, progressively reveals requirements, inspects the agent's workspace, and provides targeted feedback, revisions, and new constraints until the full task goal has been handed off. Authors: Mohit Raghavendra, Anisha Gunjal, Aakash Sabharwal.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: We introduce SWE-Interact, a new testbed for evaluating coding agents on multi-turn, interactive, user-driven software engineering tasks.

Primary paperarxivcs.LG
Original
Automation / Agentic Systems
arXiv6/29/2026
Recently

The Illusion of Agentic Complexity in README.md Generation: Evaluating Single-Agent vs. Multi-Agent RAG Systems

Large Language Models (LLMs) are increasingly utilized to automate several software engineering tasks, including code completion, code summarization, testing, and the generation of repository-level documentation. While Multi-Agent Systems (MAS) are often adopted to support such tasks under the premise that task decomposition improves performance, the impact of architectural complexity on practical efficiency remains under-examined. This study empirically evaluates Retrieval-Augmented Generation (RAG) dependent architectures for the generation of README files for GitHub repositories. Authors: Abu Saleh, Tesfay Welegebreal Tesfay, Phuong T. Nguyen.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Large Language Models (LLMs) are increasingly utilized to automate several software engineering tasks, including code completion, code summarization, testing, and the generation of repository-level documentation.

Primary paperarxivcs.SE
Original
Automation / Agentic Systems
arXiv6/29/2026
Recently

Forensic Trajectory Signatures for Agent Memory Poisoning Detection

We discover a behavioral invariant in LLM agents under persistent memory poisoning: in architectures where routing information is retrieved through observable memory-tool invocations, successful attacks require calling memory_recall_fact before email_send_email, a transition that non-exfiltrating sessions rarely exhibit. Under the evaluated architecture, this invariant follows from the attack's information-retrieval dependency rather than being merely an empirical correlation, and suppressing it breaks the attack. 9563. Authors: Jun Wen Leong.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: We discover a behavioral invariant in LLM agents under persistent memory poisoning: in architectures where routing information is retrieved through observable memory-tool invocations, successful attacks require calling memory_recall_fact before email_send_email, a transition that non-exfiltrating sessions rarely exhibit.

Primary paperarxivcs.CR
Original
Automation / Agentic Systems
arXiv6/29/2026
Recently

Self-Evolving World Models for LLM Agent Planning

World models offer a principled way to equip long-horizon LLM agents with foresight: predictions of action consequences before execution. However, unreliable foresight can be ignored, misused, or even degrade downstream decision-making. In this paper, we introduce WorldEvolver, a self-evolving world model framework that revises its deployment-time context while keeping the downstream agent and all model parameters frozen. Authors: Xuan Zhang, Wenxuan Zhang, See-Kiong Ng.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: World models offer a principled way to equip long-horizon LLM agents with foresight: predictions of action consequences before execution.

Primary paperarxivcs.AI
Original
Automation / Agentic Systems
arXiv6/29/2026
Recently

Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent

We introduce Agents-A1, a 35B Mixture-of-Experts Agentic Model that reaches trillion-parameter-level performance by scaling the agent horizon. We investigate agent-horizon scaling from two perspectives: scaling long-horizon trajectories and scaling heterogeneous agent abilities. To support this goal, we build a long-horizon knowledge-action infrastructure that connects external knowledge, actions, observations, and verifier outcomes, producing agentic trajectories with an average length of 45K tokens. Authors: Lei Bai, Zongsheng Cao, Yang Chen.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: We introduce Agents-A1, a 35B Mixture-of-Experts Agentic Model that reaches trillion-parameter-level performance by scaling the agent horizon.

Primary paperarxivcs.CL
Original

Archived section

Research Papers · 5

Research Papers
arXiv6/29/2026
Recently

Concept Catalyst: Exploring Scrutable Interfaces to Structure K-12 Teacher Interactions with Generative AI

Purpose: This paper explores how to align AI-based tools with teachers' classroom needs by using scrutable interfaces -- interfaces that link an easily manipulable knowledge representation to an underlying AI model, so users can change the system's outputs without understanding its details. It provides an in-depth discussion and example of a scrutable interface that structures teachers' interactions with generative AI. This study aims to expand how and where scrutable interfaces are used in AI-based tools to support teachers, who have not been historically targeted in the design of scrutable systems. Authors: Gennie Mansi, Sunni Newton, Roxanne Moore.

Why it matters

Read this for the paper's specific claim in Research Papers: Purpose: This paper explores how to align AI-based tools with teachers' classroom needs by using scrutable interfaces -- interfaces that link an easily manipulable knowledge representation to an underlying AI model, so users can change the system's outputs without understanding its details.

Primary paperarxivcs.HC
Original
Research Papers
arXiv6/29/2026
Recently

Between Zeros and Ones: Behavioral Characterization Beyond Binary Labeling Across Public ICS Datasets

Intrusion detection in Industrial Control Systems (ICS) is typically evaluated on a small set of public benchmarks using binary ``normal'' versus ``attack'' labels, a practice that can mask the behavioral diversity of cyber-physical attacks. To address this limitation, we propose a behavioral characterization framework that maps raw multivariate process traces into five interpretable physical primitives: drift, spike, oscillation, repetition, and switching. We apply the framework to three widely used ICS benchmarks, namely, SWaT, WADI, and HAI, and show that attack windows exhibit clear behavioral shifts relative to normal operation while the three datasets occupy largely distinct regions of the behavioral space, revealing both cross-dataset bias and intra-dataset diversity. Authors: Konstantinos E. Kampourakis, Vyron Kampourakis, Georgios Spathoulas.

Why it matters

Read this for the paper's specific claim in Research Papers: Intrusion detection in Industrial Control Systems (ICS) is typically evaluated on a small set of public benchmarks using binary ``normal'' versus ``attack'' labels, a practice that can mask the behavioral diversity of cyber-physical attacks.

Primary paperarxivcs.CR
Original
Research Papers
arXiv6/29/2026
Recently

The Role of Vehicles in Digital Forensic Investigations: A Structured Synthesis of Digital Vehicle Forensic Characteristics

Modern vehicles are cyber-physical, networked systems that may contain valuable digital traces for accident reconstruction, crime investigation, warranty analysis, and cybersecurity incident response. However, digital vehicle forensics (DVF) remains less mature than computer, mobile, and cloud forensics because relevant data is distributed across in-vehicle components, mobile devices, manufacturer back ends, third-party services, and physical evidence. This article addresses this gap through a structured synthesis of academic literature, standards, and practitioner-oriented sources. Authors: Kevin Mayer.

Why it matters

Read this for the paper's specific claim in Research Papers: Modern vehicles are cyber-physical, networked systems that may contain valuable digital traces for accident reconstruction, crime investigation, warranty analysis, and cybersecurity incident response.

Primary paperarxivcs.CR
Original
Research Papers
arXiv6/29/2026
Recently

A Lightweight Post-Quantum Authentication Framework for 5G Base Station Bootstrapping

The absence of authenticated bootstrapping between User Equipments (UEs) and Base Stations (BSs) in 5G leaves System Information Block (SIB) broadcasts unprotected, enabling fake BS attacks, man-in-the-middle interception, and spoofed emergency alerts. Prior efforts such as Public Key Infrastructure (PKI)-based certificate chains, token-based schemes, and identity-based signatures either impose overhead exceeding 5G's strict packet-size constraints or lack post-quantum (PQ) security. Direct NIST-PQC integration is infeasible: ML-DSA requires 34 fragmented SIB1 packets and up to 5,282,ms end-to-end delay, and FN-DSA still requires 13 fragments and up to 1,920,ms. Authors: Saleh Darzi, Mirza Masfiqur Rahman, Imtiaz Karim.

Why it matters

Read this for the paper's specific claim in Research Papers: The absence of authenticated bootstrapping between User Equipments (UEs) and Base Stations (BSs) in 5G leaves System Information Block (SIB) broadcasts unprotected, enabling fake BS attacks, man-in-the-middle interception, and spoofed emergency alerts.

Primary paperarxivcs.CR
Original
Research Papers
arXiv6/29/2026
Recently

Authentication in Quantum Networks

In this review, we survey the cryptographic task of authentication from the perspective of quantum communication. We review three main flavours of authentication that are often conflated in the literature: authentication of classical messages, authentication of quantum messages, and entity authentication, also covering recent hardware-assisted approaches. We compare representative protocols for each functionality in terms of their security assumptions, set-up requirements, composability, and scalability in large or dynamic networks, and use these criteria to identify and recommend suitable candidates. Authors: Christopher Battarbee, Suchetana Goswami, Elham Kashefi.

Why it matters

Read this for the paper's specific claim in Research Papers: In this review, we survey the cryptographic task of authentication from the perspective of quantum communication.

Primary paperarxivquant-ph
Original

Archived section

Embedded Systems · 5

Embedded Systems
arXiv6/29/2026
Recently

Training Vision-Language-Action Models with Dense Embodied Chain-of-Thought Supervision

Cross-embodiment transfer in vision-language-action (VLA) models remains challenging because low-level state and action spaces differ fundamentally across robot platforms. We observe that the high-level cognitive process underlying manipulation, including scene perception, object identification, task planning, and sub-task decomposition, is largely shared across embodiments. 6 billion parameter end-to-end VLA model that uses dense Embodied Chain-of-Thought (ECoT) supervision to align cross-embodiment representations within the vision-language model (VLM). Authors: Haoyang Li, Guanlin Li, Youhe Feng.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Cross-embodiment transfer in vision-language-action (VLA) models remains challenging because low-level state and action spaces differ fundamentally across robot platforms.

Primary paperarxivcs.RO
Original
Embedded Systems
arXiv6/29/2026
Recently

MOAR Planner: Multi-Objective and Adaptive Risk-Aware Path Planning for Infrastructure Inspection with a UAV

The problem of autonomous navigation for UAV inspection remains challenging as it requires effectively navigating in close proximity to obstacles, while accounting for dynamic risk factors such as weather conditions, communication reliability, and battery autonomy. This paper introduces the MOAR path planner which addresses the complexities of evolving risks during missions. It offers real-time trajectory adaptation while concurrently optimizing safety, time, and energy. Authors: Louis Petit, Alexis Lussier Desbiens.

Why it matters

Read this for the paper's specific claim in Embedded Systems: The problem of autonomous navigation for UAV inspection remains challenging as it requires effectively navigating in close proximity to obstacles, while accounting for dynamic risk factors such as weather conditions, communication reliability, and battery autonomy.

Primary paperarxivcs.RO
Original
Embedded Systems
arXiv6/29/2026
Recently

Realtime Wind Estimation using Low Cost Quadrotor Uncrewed Aerial Vehicles

In environmental monitoring as well as emergency response applications such as wildfires, wind velocity measurement is essential. Quadrotor UAVs have become popular platforms for wind velocity estimation due to their maneuverability, compact size, and cost-effectiveness. Numerous studies use the Extended Kalman Filter (EKF) to estimate the wind velocity based on the quadrotor dynamic model. Authors: Hiranya Udagedara, Mahdis Bisheban.

Why it matters

Read this for the paper's specific claim in Embedded Systems: In environmental monitoring as well as emergency response applications such as wildfires, wind velocity measurement is essential.

Primary paperarxivcs.RO
Original
Embedded Systems
arXiv6/29/2026
Recently

VLK: Learning Humanoid Loco-Manipulation from Synthetic Interactions in Reconstructed Scenes

Perception-based humanoid loco-manipulation requires connecting egocentric observations and task instructions to whole-body motion. Learning this mapping requires synchronized egocentric images, language commands, and robot-compatible kinematic trajectories, yet no existing data source provides this complete tuple at scale. We address this bottleneck by generating vision-language-kinematics (VLK) supervision synthetically in reconstructed scenes. Authors: Yen-Jen Wang, Jiaman Li, Sirui Chen.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Perception-based humanoid loco-manipulation requires connecting egocentric observations and task instructions to whole-body motion.

Primary paperarxivcs.RO
Original
Embedded Systems
Hackaday6/29/2026
Recently

The Terrifying 2011-Era Case of Max Planck's Retracted Papers

In the world of scientific publishing there are many reasons why a paper can be retracted, but generally there is an obvious and clearly communicated reason for doing so.

Why it matters

Read this for the engineering context in Embedded Systems: In the world of scientific publishing there are many reasons why a paper can be retracted, but generally there is an obvious and clearly communicated reason for doing so.

Trusted sourceSciencepublishing
Original

Archived section

Computer Systems · 5

Computer Systems
arXiv6/29/2026
Recently

SubEdge: A Subscriber-Centric Edge Computing Subsystem in 6G Networks for AI

Beyond traditional connectivity, 6G is envisioned to transform mobile networks into a distributed fabric that provides native integrated communication, computing, and intelligence services., robots, autonomous vehicles, and smart glasses) require real-time inference from individualised, manufacturer-specific models that cannot be executed on-board nor shared across subscribers, making per-subscriber edge compute the necessary complement to per-subscriber connectivity. Existing Network for AI (Net4AI) architectures provision compute for application providers through shared deployments and do not address per-subscriber provisioning. Authors: Abdirazak Ali Asir Rage, Riccardo Pozza, Rahim Tafazolli.

Why it matters

Read this for the paper's specific claim in Computer Systems: , robots, autonomous vehicles, and smart glasses) require real-time inference from individualised, manufacturer-specific models that cannot be executed on-board nor shared across subscribers, making per-subscriber edge compute the necessary complement to per-subscriber connectivity.

Primary paperarxivcs.NI
Original
Computer Systems
arXiv6/29/2026
Recently

COSM: A Cooperative Scheduling Framework for Concurrent PIM and CPU Execution on Mobile Devices

The development of on-device large language models (LLMs) is driven by the need for privacy and fast response times. Energy-intensive data transfer on mobile devices makes Processing-in-Memory (PIM) an effective solution. Due to stringent DRAM cost constraints, limited physical footprint on circuit boards, and the interaction between applications and LLMs, it is imperative for the CPU and PIM to operate concurrently within a shared memory space. Authors: Yilong Zhao, Fangxin Liu, Onur Mutlu.

Why it matters

Read this for the paper's specific claim in Computer Systems: The development of on-device large language models (LLMs) is driven by the need for privacy and fast response times.

Primary paperarxivcs.AR
Original
Computer Systems
AWS Architecture Blog6/29/2026
Recently

Dual-token authentication for Nakama game servers with Amazon Cognito on AWS

In this post, you learn how to configure an Amazon Cognito User Pool for SRP-based game client authentication with no client secret. You will implement a Go runtime hook that validates Cognito JWTs and bridges player identity to Nakama sessions.

Why it matters

Read this for the official technical update in Computer Systems: In this post, you learn how to configure an Amazon Cognito User Pool for SRP-based game client authentication with no client secret.

Official sourceAmazon CloudFrontAmazon Cognito
Original
Computer Systems
Hackaday6/30/2026
Recently

Making a Magnetic Core Memory USB Drive

Some of us have felt somewhat nervous about the collapse of DRAM and NAND Flash memory supply in the consumer market, while others seem to have fully embraced it.

Why it matters

Read this for the engineering context in Computer Systems: Some of us have felt somewhat nervous about the collapse of DRAM and NAND Flash memory supply in the consumer market, while others seem to have fully embraced it.

Trusted sourceRetrocomputingcore memory
Original
Computer Systems
LWN.net6/28/2026
Recently

Kernel prepatch 7.2-rc1

2-rc1 kernel prepatch is out for testing. Linus said: "So two weeks have passed, and the merge window is closed.

Why it matters

Read this for the concrete reporting in Computer Systems: Linus said: "So two weeks have passed, and the merge window is closed.

Trusted source
Original

Archived section

Developer Tools / Open Source · 5

Developer Tools / Open Source
arXiv6/29/2026
Recently

PyMETA: A Benchmark Dataset for Hierarchical Student Code Error Classification with Python-Interpreter-Based Labels

With the advancement of Large Language Models (LLMs), code error detection has extended beyond traditional IDE diagnostics to context-sensitive debugging in educational scenarios. However, existing approaches lack large-scale datasets, multi-error analysis, and unified error taxonomies. To address this, we introduce PyMETA, a large-scale Python code error classification dataset of 48,646 student submissions, with single-error labels for all samples and a diagnostic subset of 97 expert-annotated multi-error samples. Authors: Chuyue Li, Ziqi Tang, Jingyi Wang.

Why it matters

Read this for the paper's specific claim in Developer Tools / Open Source: With the advancement of Large Language Models (LLMs), code error detection has extended beyond traditional IDE diagnostics to context-sensitive debugging in educational scenarios.

Primary paperarxivcs.SE
Original
Developer Tools / Open Source
CNCF Blog6/29/2026
Recently

etcd-operator joins Cozystack with a new v1alpha2 API

The etcd-operator project, which develops an operator for deploying and maintaining etcd clusters on Kubernetes, has been donated to the Cozystack project. Alongside the donation, a from-scratch implementation of the operator has been published under a...

Why it matters

Read this for the official technical update in Developer Tools / Open Source: The etcd-operator project, which develops an operator for deploying and maintaining etcd clusters on Kubernetes, has been donated to the Cozystack project.

Official sourceBlog
Original
Developer Tools / Open Source
Vercel Blog6/29/2026
Recently

Build realtime voice agents on AI Gateway

now supports audio/voice. AI Gateway Audio launches with models from and. AI SDK 7 Realtime turns your app into something a user can hold a conversation with.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: AI Gateway Audio launches with models from and.

Official source
Original
Developer Tools / Open Source
LWN.net6/29/2026
Recently

Open source maintainership in the age of AI (Kubernetes blog)

The Kubernetes project has published a blog post explaining its AI policy: The main problem is that AI has made generating code fast but there has been very little improvement in maintaining code bases. In this post, we will highlight the ways the Kubernetes community is adapting to the world of AI assisted coding. The first step of this journey was to develop an AI policy.

Why it matters

Read this for the concrete reporting in Developer Tools / Open Source: The Kubernetes project has published a blog post explaining its AI policy: The main problem is that AI has made generating code fast but there has been very little improvement in maintaining code bases.

Trusted source
Original
Developer Tools / Open Source
GitHub Blog6/29/2026
Recently

Highlights from Git 2.55

55. Here is GitHub's look at some of the most interesting features and changes introduced since last time. 55 appeared first on The GitHub Blog.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: Here is GitHub's look at some of the most interesting features and changes introduced since last time.

Official sourceGitOpen Source
Original

Archived section

Cloud / Infrastructure · 5

Cloud / Infrastructure
AWS Architecture Blog6/29/2026
Recently

Lessons learned from scaling to 1 million Lambda functions

In this post, we share our journey and the lessons learned from building and running a fully serverless, multi-account software as a service (SaaS) platform at scale. We'll explore why true scale-to-zero is critical, how we handle quota management, why engaging AWS service teams early saved us from outages, and which unexpected practices emerged once we scaled from thousands to over a million functions.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: In this post, we share our journey and the lessons learned from building and running a fully serverless, multi-account software as a service (SaaS) platform at scale.

Official sourceCustomer SolutionsServerless
Original
Cloud / Infrastructure
CNCF Blog6/30/2026
Recently

Dragonfly v2.5.0 is released

0 is released! Thanks to all of the contributors who made this Dragonfly release happen. New features and enhancements Direct repository downloads from Hugging Face and ModelScope Dragonfly Client now supports directly downloading model repositories...

Why it matters

Read this for the official technical update in Cloud / Infrastructure: Thanks to all of the contributors who made this Dragonfly release happen.

Official sourceBlog
Original
Cloud / Infrastructure
arXiv6/29/2026
Recently

Data Replication Meets Function Scheduling in the Edge-Cloud Continuum

Serverless computing is an appealing model for the edge-cloud continuum, but its stateless assumption breaks down once functions need persistent data: fetching state from a distant cloud store erases the latency benefit of running at the edge. Keeping data close means replicating it, and replication forces a placement decision that is coupled with where functions execute and with the consistency each application demands. We study this joint problem of function scheduling and data placement under two consistency models, strong and eventual replication. Authors: Matteo Cenzato, Dario d'Abate, Arianna Dragoni.

Why it matters

Read this for the paper's specific claim in Cloud / Infrastructure: Serverless computing is an appealing model for the edge-cloud continuum, but its stateless assumption breaks down once functions need persistent data: fetching state from a distant cloud store erases the latency benefit of running at the edge.

Primary paperarxivcs.DC
Original
Cloud / Infrastructure
AWS Architecture Blog6/29/2026
Recently

Preventing data exfiltration in machine learning environments with Amazon SageMaker AI

In this post, we demonstrate how iBusiness implemented a three-layered security architecture using Amazon SageMaker AI, virtual private cloud (VPC) endpoints, and Amazon WorkSpaces Secure Browser to prevent data exfiltration while maintaining data scientist productivity. You can adapt this approach to build secure machine learning environments that balance strict data protection with team scalability.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: In this post, we demonstrate how iBusiness implemented a three-layered security architecture using Amazon SageMaker AI, virtual private cloud (VPC) endpoints, and Amazon WorkSpaces Secure Browser to prevent data exfiltration while maintaining data scientist productivity.

Official sourceAmazon SageMaker AIAmazon SageMaker Studio
Original
Cloud / Infrastructure
AWS Blog6/29/2026
Recently

AWS Weekly Roundup: Agentic CX designer for Amazon Connect Customer, EC2 AMI Watermarks, Open Governance for MySQL, and more (June 29, 2026)

It has been a busy stretch on the AWS Summit circuit. At the New York City Summit, I delivered a workshop called Building AI architectures with AWS Serverless, and it was a lot of fun watching builders wire up agents and serverless services to solve real problems in a single afternoon.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: It has been a busy stretch on the AWS Summit circuit.

Official sourceAmazon ConnectAmazon EC2
Original