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Artificial Intelligence / Machine Learning · 5

Automation / Agentic Systems · 5

Research Papers · 1

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
arXiv8/24/2026
Recently

Robustness of Anomaly Detection Models for Industrial Control Systems under Training-Time Data Contamination

Machine-learning-based anomaly detection is increasingly used in industrial control systems (ICS), yet most studies assume that detector training data is trustworthy. In practice, training data may be corrupted through compromised logs, labeling errors, manipulated historian records, or unsafe retraining processes. This paper evaluates the robustness of offline ICS anomaly-detection pipelines on the Secure Water Treatment (SWaT) benchmark under training-time contamination. Authors: Mustafa Umut Ozbek, Taiwo Ojo, Pooria Madani.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Machine-learning-based anomaly detection is increasingly used in industrial control systems (ICS), yet most studies assume that detector training data is trustworthy.

Primary paperarxivcs.CR
Original
Artificial Intelligence / Machine Learning
arXiv8/24/2026
Recently

FixAnything: 3D-Consistent Rendering Refinement via Video Generative Priors

Rendering views using 3D scene representations such as Gaussian Splatting (3DGS), Neural Radiance Fields (NeRF), meshes, or even point clouds produces artifacts when input views are sparse or target views lie far from the input. Recent work mitigates these artifacts using diffusion-based generative priors, but is specialized to individual representations and require custom architectures or extensive retraining. We present FixAnything, a single model for fixing a wide range of rendering artifacts. Authors: Khiem Vuong, Deva Ramanan, Srinivasa Narasimhan.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Rendering views using 3D scene representations such as Gaussian Splatting (3DGS), Neural Radiance Fields (NeRF), meshes, or even point clouds produces artifacts when input views are sparse or target views lie far from the input.

Primary paperarxivcs.CV
Original
Artificial Intelligence / Machine Learning
Meta Engineering8/24/2026
Recently

MetaRoCE: A New RDMA Transport Built for AI-Scale Ethernet

Training and serving frontier AI models depends on fast, reliable networks that move data between GPUs without wasting compute cycles. To meet this challenge at scale, Meta designed MetaRoCE – a clean-sheet RDMA transport protocol purpose-built for AI workloads on commodity Ethernet. ] Read More...

Why it matters

Read this for the official technical update in Artificial Intelligence / Machine Learning: Training and serving frontier AI models depends on fast, reliable networks that move data between GPUs without wasting compute cycles.

Official sourceData Center EngineeringData Infrastructure
Original
Artificial Intelligence / Machine Learning
NVIDIA Technical Blog8/24/2026
Recently

Giga-Scale AI and the Ethernet Evolution: How Spectrum-X Ethernet Rewrites the Rules

The massive growth of generative AI has fundamentally altered data center design. As distributed model training scales to span hundreds of thousands of GPUs,... The massive growth of generative AI has fundamentally altered data center design.

Why it matters

Read this for the official technical update in Artificial Intelligence / Machine Learning: The massive growth of generative AI has fundamentally altered data center design.

Official source
Original
Artificial Intelligence / Machine Learning
Apple Machine Learning Research8/23/2026
Recently

Beyond Visual CoT: Internalized Visual Thinking for Proactive Video Reasoning

Multimodal large language models increasingly use visual chain-of-thought (Visual CoT) to reason about spatial, temporal, and embodied environments. By generating intermediate reasoning images, Visual CoT provides an intuitive mechanism for visual foresight but introduces substantial inference overhead, which is particularly problematic for proactive video reasoning. We ask whether models can learn to think visually during training while reasoning directly at inference.

Why it matters

Read this for the official technical update in Artificial Intelligence / Machine Learning: Multimodal large language models increasingly use visual chain-of-thought (Visual CoT) to reason about spatial, temporal, and embodied environments.

Official source
Original

Archived section

Automation / Agentic Systems · 5

Automation / Agentic Systems
arXiv8/24/2026
Recently

SWE Refactor Bench: Can Coding Agents Complete a Long-Horizon, Whole-Repository Stack Migration?

Modern software systems accumulate technical debt over decades of development, which makes migration expensive and largely manual. As coding agents become increasingly capable at bug fixing, can they autonomously perform such migrations? Existing benchmarks cannot answer this question because they evaluate only behavioural correctness, not whether the migration actually occurred. Authors: Deyao Hong, Yizhe Chi, Wenyi Li.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Modern software systems accumulate technical debt over decades of development, which makes migration expensive and largely manual.

Primary paperarxivcs.CL
Original
Automation / Agentic Systems
arXiv8/24/2026
Recently

EarthVerse: Benchmarking Scientific Agents Across Dynamic Earth Systems and Natural Hazards

Earth-system analysis reconstructs changing physical processes from observations that differ in source, scale, timing, and modality. Natural hazards make this work consequential because incomplete evidence can change estimates of severity, exposure, and mechanism. We introduce EarthVerse, a benchmark that evaluates scientific agents through package-scoped investigations. Authors: Zhiqing Cui, Xinxiang Yin, Yihong Tang.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Earth-system analysis reconstructs changing physical processes from observations that differ in source, scale, timing, and modality.

Primary paperarxivcs.AI
Original
Automation / Agentic Systems
arXiv8/24/2026
Recently

An Interactive Agent for Requirement-Driven Candidate Sourcing

Finding people from a natural-language description (``ML engineers transitioning to research roles in biotech'') is increasingly delegated to LLM agents and framed as information retrieval. We argue that it is fundamentally a requirements engineering task: such a request is an under-determined requirement with implicit constraints, many valid answers, and no acceptance criterion, so useful answers require eliciting, validating, and verifying the requirement before search can matter. We present \sys, to our knowledge the first interactive, requirements-driven candidate-sourcing agent (it elicits, validates, retrieves, and verifies a vague people-request into a justified slate through bounded elicitation, workflow templates, a two-stage commit protocol, and bidirectional termination guards) and \bench, a benchmark that runs the requirements lifecycle (criteria-anchored validation, multi-model evidence-grounded oracle construction, and cost-aware verification). Authors: Yuanpeng He, Fangjing Li, Xiangyu Ru.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Finding people from a natural-language description (``ML engineers transitioning to research roles in biotech'') is increasingly delegated to LLM agents and framed as information retrieval.

Primary paperarxivcs.SE
Original
Automation / Agentic Systems
arXiv8/24/2026
Recently

Prime Agent: A Self-Improving RLM Harness

Language models are sequential processors, but long-horizon agency requires external information and computation beyond model weights and active context. Prime Agent is an open-source harness for long-horizon evaluation and coding-agent workflows. A persistent IPython REPL follows the Recursive Language Model abstraction for programmatic context processing and test-time compute, while Continual Harness preserves histories, memories, skills, prompts, and subagent specifications across trajectories. Authors: Seth Karten, Alex L. Zhang, Kevin Thomas.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Language models are sequential processors, but long-horizon agency requires external information and computation beyond model weights and active context.

Primary paperarxivcs.AI
Original
Automation / Agentic Systems
arXiv8/24/2026
Recently

SkillAlchemy: Open-World Agent Skill Creation

Agent skills are reusable procedural artifacts that extend language agents with specialized workflows, tool conventions, and domain behaviors at inference time. However, creating reliable skills still depends largely on human authorship, model priors, or execution traces. These sources are often unavailable for unfamiliar tasks, suggesting the need to create skills from open-world materials. Authors: Hengjun Wang, Shuyue Wei, Boyi Liu.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Agent skills are reusable procedural artifacts that extend language agents with specialized workflows, tool conventions, and domain behaviors at inference time.

Primary paperarxivcs.AI
Original

Archived section

Research Papers · 1

Research Papers
arXiv8/24/2026
Recently

A Threshold Homomorphic Blockchain Architecture for Secure and Scalable IoT Sensor Data Aggregation

Homomorphic-encryption blockchain frameworks for IoT sensor aggregation generally rely on classical cryptographic hardness assumptions and seldom account for network topology in liveness and performance analysis. This work introduces Phi-PHE-BC, a topology-aware homomorphic blockchain architecture for secure and privacy-preserving IoT sensor data aggregation. The framework combines threshold Paillier decryption with graph-parameterized security and performance analysis, linking protocol behavior to the validator graph. Authors: Narendra Kumar Dewangan, Mounira Msahli.

Why it matters

Read this for the paper's specific claim in Research Papers: Homomorphic-encryption blockchain frameworks for IoT sensor aggregation generally rely on classical cryptographic hardness assumptions and seldom account for network topology in liveness and performance analysis.

Primary paperarxivcs.CR
Original

Archived section

Embedded Systems · 5

Embedded Systems
arXiv8/24/2026
Recently

Fair Dynamic Operating Envelopes using Distributed Multi-Period Optimal Power Flow and Jain Index for Active Distribution Networks

Dynamic operating envelopes (DOEs) are increasingly used to publish time-varying export limits that keep distribution networks within operational limits. Purely technical DOE allocation, however, can systematically privilege electrically favorable prosumers, while embedding fairness directly into a single-period optimal power flow (OPF) objective mixes network feasibility, equity and efficiency in a way that obscures the cost of fairness. This paper proposes a two-stage, multi-period framework that addresses both of these. Authors: Pedro Salomão Quessongo, Daniel Gebbran, Clodomiro Unsihuay-Vila.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Dynamic operating envelopes (DOEs) are increasingly used to publish time-varying export limits that keep distribution networks within operational limits.

Primary paperarxiveess.SY
Original
Embedded Systems
arXiv8/24/2026
Recently

Temporal Property-driven Design Space Exploration with Reinforcement Learning for Cyber-Physical Systems

Design-space exploration of configurable Cyber-Physical Systems (CPS) requires executable evaluation when design choices affect timing, fault propagation, recovery behavior, and temporal-property satisfaction. Repeated stochastic executions make exhaustive exploration impractical for large design spaces. This paper presents a temporal-property-driven CPS design workflow using Reinforcement Learning (RL). Authors: Tagir Fabarisov, Maxime Cordy.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Design-space exploration of configurable Cyber-Physical Systems (CPS) requires executable evaluation when design choices affect timing, fault propagation, recovery behavior, and temporal-property satisfaction.

Primary paperarxiveess.SY
Original
Embedded Systems
arXiv8/24/2026
Recently

Data-Driven Synthesis of Robust Positively Invariant Sets: From State Feedback to Output Feedback

This paper develops a direct data-driven framework for robust positively invariant (RPI) set synthesis for unknown linear time-invariant systems under state-feedback and observer-based output-feedback scenarios. The feedback and observer gains, along with the RPI sets, are directly synthesized from noisy offline data by solving semidefinite programs (SDPs), avoiding intermediate model identification or explicit model-uncertainty set construction. In the state-feedback case, a linear-quadratic (LQ)-type feedback gain is first computed, and an ellipsoidal RPI set is then synthesized for the resulting closed-loop dynamics. Authors: Zhijie Ning.

Why it matters

Read this for the paper's specific claim in Embedded Systems: develops a direct data-driven framework for robust positively invariant (RPI) set synthesis for unknown linear time-invariant systems under state-feedback and observer-based output-feedback scenarios.

Primary paperarxiveess.SY
Original
Embedded Systems
Hackster.io8/24/2026
Recently

The RF Magic Behind ExpressLRS

Drone pilots have come to expect control links that remain solid for kilometers, but few stop to think about the engineering that makes it possible. Modern long-range systems like ExpressLRS (ELRS) can maintain reliable control over huge distances using transmitters limited to about one watt of output power. In a recent video, Stan Coene of the OpenDrone YouTube channel takes a detailed look at how these systems work, explaining both the hardware and the radio frequency design techniques that allow them to hear signals buried beneath the background noise.

Why it matters

Read this for the engineering context in Embedded Systems: Drone pilots have come to expect control links that remain solid for kilometers, but few stop to think about the engineering that makes it possible.

Trusted source
Original
Embedded Systems
Hackster.io8/23/2026
Recently

Open Source Firmware Frees the Litter-Robot 4 From the Cloud

Most smart home products on the market stop feeling smart the moment the internet goes down. Some might continue working, but their more advanced features commonly depend on cloud services that could disappear at any time. For users who prefer to keep their devices under their own control, Joseph DiGiovanni has developed an open source alternative for the Litter-Robot 4 that replaces its cloud-connected firmware with ESPHome.

Why it matters

Read this for the engineering context in Embedded Systems: Most smart home products on the market stop feeling smart the moment the internet goes down.

Trusted source
Original

Archived section

Computer Systems · 5

Computer Systems
arXiv8/24/2026
Recently

VIPER: Architecture-Aware Performance Modeling for Processing-in-Memory Design-Space Exploration

Processing-in-Memory (PIM) promises to reduce data movement overhead by executing computation in or near memory, but its realized application speedup remains highly design-dependent. Non-offloadable host execution, host-PIM transfers, limited PIM capacity, and device programming latency can limit end-to-end speedup, making fast early-stage design-space exploration (DSE) essential. However, existing PIM evaluation methods remain limited: circuit- and device-level tools cannot capture these end-to-end PIM performance factors, while cycle-accurate simulation is too slow for iterative DSE. Authors: Haoran Geng, Tomas Sousa Pereira, Xiaoyang Lu.

Why it matters

Read this for the paper's specific claim in Computer Systems: Processing-in-Memory (PIM) promises to reduce data movement overhead by executing computation in or near memory, but its realized application speedup remains highly design-dependent.

Primary paperarxivcs.AR
Original
Computer Systems
arXiv8/24/2026
Recently

SYNTLOG: FSM Benchmarks Evaluation for FPGA

We introduce a curated benchmark collection of \num101 FSM descriptions organized into five size classes (small, medium, large, huge, super-huge), spanning tens to thousands of states and up to hundreds of inputs and outputs. Using these benchmarks we compare an architecture-independent synthesis tool SYNTLOG against Xilinx Vivado at the synthesis (technology-mapping) level, under six optimization strategies. We compare three post-synthesis parameters: number of LUTs, number of logic levels, and runtime. Authors: Samary Baranov, Danila Gorodecky.

Why it matters

Read this for the paper's specific claim in Computer Systems: We introduce a curated benchmark collection of \num101 FSM descriptions organized into five size classes (small, medium, large, huge, super-huge), spanning tens to thousands of states and up to hundreds of inputs and outputs.

Primary paperarxivcs.AR
Original
Computer Systems
arXiv8/24/2026
Recently

Effects of Hybrid CPU and Cache Architectures on Parallel HPC and Cloud Applications

Hybrid CPU architectures have entered the mainstream desktop computing with the announcement of Intel's Alderlake architecture. Such a transition to heterogeneous CPU architecture has various performance and power implications on existing parallel workloads. In this paper we study the effects and impact of hybrid core and cache architecture on the performance of highly parallel HPC workloads. Authors: Nanda Velugoti, Joseph Manzano, Nathan Tallent.

Why it matters

Read this for the paper's specific claim in Computer Systems: Hybrid CPU architectures have entered the mainstream desktop computing with the announcement of Intel's Alderlake architecture.

Primary paperarxivcs.DC
Original
Computer Systems
AWS Architecture Blog8/24/2026
Recently

How a global payment processor preserved AWS RAM shares and Lake Formation permissions during an AWS Organizations migration

When AWS accounts move between organizations, organization-bound AWS RAM resource shares break and control-plane access is lost. Learn how a global payment processor used temporary bridge shares to preserve AWS Lake Formation permissions across a 382-account AWS Organizations migration, then restored the original shares as the durable source of truth.

Why it matters

Read this for the official technical update in Computer Systems: When AWS accounts move between organizations, organization-bound AWS RAM resource shares break and control-plane access is lost.

Official sourceAWS Lake FormationCustomer Solutions
Original
Computer Systems
LWN.net8/24/2026
Recently

How to be safe from quantum computing

Practical quantum computers have been ten years away for the last several decades. Now, however, it's beginning to look as though they will be possible in just a few years. Recent research with obfuscated results demonstrated much lower memory requirements to factor ECDSA keys on a quantum computer, with work by other researchers in the open more than halving memory use compared to the state of the art in 2023.

Why it matters

Read this for the concrete reporting in Computer Systems: Practical quantum computers have been ten years away for the last several decades.

Trusted source
Original

Archived section

Developer Tools / Open Source · 5

Developer Tools / Open Source
arXiv8/24/2026
Recently

Formalizing and Automating Fine-Grained Move Refactorings Across Methods

Developers use automated Move refactorings to improve the modular structure of source code and the assignment of responsibilities. Class- and method-level Move refactorings are automated in modern IDEs, but statement- and expression-level moves that adjust method boundaries remain largely unautomated. We formalize five variants of Move Statement refactoring as preconditions and steps grounded in four basic conditions covering data reachability, execution count, side effects, and syntactic constraints required for compilation, of which all but the side-effect condition are checked statically. Authors: Kota Yasuhara, Shinpei Hayashi.

Why it matters

Read this for the paper's specific claim in Developer Tools / Open Source: Developers use automated Move refactorings to improve the modular structure of source code and the assignment of responsibilities.

Primary paperarxivcs.SE
Original
Developer Tools / Open Source
CNCF Blog8/25/2026
Recently

The lazy developer's guide to observing your own code

It's no secret that developers are increasingly being asked to shift left. It seems there's always something new to shift left on. And now developers are being asked to shift left on observability.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: It's no secret that developers are increasingly being asked to shift left.

Official sourceBlog
Original
Developer Tools / Open Source
Vercel Blog8/24/2026
Recently

Vercel Sandbox is now globally available

), (San Francisco), (Cleveland), and (Paris). Vercel Sandboxiad1sfo1cle1cdg1 remains the default. iad1 Choose a region close to the databases, object storage, and other services your sandboxes access to reduce latency.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: ), (San Francisco), (Cleveland), and (Paris).

Official source
Original
Developer Tools / Open Source
Vercel Blog8/24/2026
Recently

Chat SDK now supports XChat

XChat adapter The adapter handles all encryption, key management, and signature verification automatically. Bots can also message users first, as long as the user has encrypted chat set up and follows the bot. XChat has no markdown rendering, so the adapter falls back automatically: URLs and @mentions render as tappable links, tables as ASCII code blocks, and cards as text with a link preview.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: XChat adapter The adapter handles all encryption, key management, and signature verification automatically.

Official source
Original
Developer Tools / Open Source
Vercel Blog8/24/2026
Recently

Bring your agent to Notion with Chat SDK

Your team already works in Notion. Now your agent can too. Notion adapter Each Notion page maps to a channel and each comment thread to a thread, so replies stay threaded automatically.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: Bring your agent to Notion with Chat SDK

Official source
Original

Archived section

Cloud / Infrastructure · 4

Cloud / Infrastructure
Cloudflare Blog8/24/2026
Recently

The Cloudflare Blog – Brought to you by EmDash

We migrated the Cloudflare Blog to EmDash to prove our stack at massive scale. Here is how we stress-tested performance, safely routed production traffic, and redesigned the frontend experience.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: We migrated the Cloudflare Blog to EmDash to prove our stack at massive scale.

Official sourceCloudflare WorkersDeveloper Platform
Original
Cloud / Infrastructure
arXiv8/23/2026
Recently

Fleet-Scale Pod Deployment with VPC-Native Networking in Managed Kubernetes

Managed Kubernetes pod deployment is often presented as a choice between VPC-native and overlay networking. Public EKS documentation describes prefix-mode capacity and configuration, while prior CNI studies primarily measure steady-state throughput and latency. This paper presents an operational measurement study of fleet-scale pod deployment across three VPC-native modes on Amazon EKS: individual secondary-IP allocation, ENI preallocation, and IPv4 prefix delegation, using Cilium and Calico as overlay baselines. Authors: Sri Saran Balaji Vellore Rajakumar, Jayanth Varavani, Murat Parlakisik.

Why it matters

Read this for the paper's specific claim in Cloud / Infrastructure: Managed Kubernetes pod deployment is often presented as a choice between VPC-native and overlay networking.

Primary paperarxivcs.NI
Original
Cloud / Infrastructure
CNCF Blog8/24/2026
Recently

Automating root cause analysis at scale: Multi-signal correlation for cloud native incident response

The problem: Humans shouldn't be correlation engines At Atlassian's scale, hundreds of interconnected microservices distributed across multiple regions mean a production incident generates an overwhelming volume of telemetry. The problem is that finding the causal factor...

Why it matters

Read this for the official technical update in Cloud / Infrastructure: The problem: Humans shouldn't be correlation engines At Atlassian's scale, hundreds of interconnected microservices distributed across multiple regions mean a production incident generates an overwhelming volume of telemetry.

Official sourceBlog
Original
Cloud / Infrastructure
NVIDIA Technical Blog8/24/2026
Recently

NVIDIA BlueField-4 Powers New Scale-In Network Infrastructure for Agentic AI Factories

Traditional cloud infrastructure was designed for predictable, general-purpose workloads and standard interfaces. Agentic AI factories connect diverse users,... Traditional cloud infrastructure was designed for predictable, general-purpose workloads and standard interfaces.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: Traditional cloud infrastructure was designed for predictable, general-purpose workloads and standard interfaces.

Official source
Original