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Artificial Intelligence / Machine Learning · 5

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Computer Systems · 5

Developer Tools / Open Source · 5

Cloud / Infrastructure · 5

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Artificial Intelligence / Machine Learning · 5

Artificial Intelligence / Machine Learning
arXiv8/20/2026
Recently

A Standardized Framework for Machine Learning in Power System Protection

Studies of machine-learning-based power-system protection increasingly report near-perfect scores, yet the meaning of those scores depends strongly on the evaluation setting. Protection task, physical scope, measurements, timing, targets, preprocessing, and validation often vary jointly and remain incompletely specified. This paper proposes a standardization-oriented framework that treats evaluation design as part of the scientific contribution. Authors: Julian Oelhaf, Georg Kordowich, Paula Andrea Pérez-Toro.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Studies of machine-learning-based power-system protection increasingly report near-perfect scores, yet the meaning of those scores depends strongly on the evaluation setting.

Primary paperarxivcs.LG
Original
Artificial Intelligence / Machine Learning
arXiv8/20/2026
Recently

G3Ego: Gaze-Guided Graphs for Egocentric Action Understanding

Egocentric action understanding is often addressed using large video models pretrained on extensive exocentric datasets. However, many first-person actions depend on a small number of hand-object interactions involving only a few relevant entities. We propose G3Ego, a graph-based framework for egocentric action understanding that uses gaze as a structural cue to identify action-relevant entities in the scene. Authors: Marko Haralović, Akash Ramakrishnan, Estefania Talavera Martinez.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Egocentric action understanding is often addressed using large video models pretrained on extensive exocentric datasets.

Primary paperarxivcs.CV
Original
Artificial Intelligence / Machine Learning
arXiv8/20/2026
Recently

ConceptGuard: Benchmarking Context-Sensitive Unlearning in Large Language Models

Large Language Models (LLMs) increasingly require selective removal of harmful or sensitive knowledge, called unlearning, yet existing methods and benchmarks fail to evaluate this capability completely. Current approaches rely on disjoint forget and retain sets composed of independent facts, and measure success using simple and direct factual recall. This framing fails to capture a key requirement of unlearning, namely the ability to eliminate harmful behaviors while preserving benign and beneficial knowledge. Authors: Sahil Kale, Ian Harris.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Large Language Models (LLMs) increasingly require selective removal of harmful or sensitive knowledge, called unlearning, yet existing methods and benchmarks fail to evaluate this capability completely.

Primary paperarxivcs.CL
Original
Artificial Intelligence / Machine Learning
arXiv8/19/2026
Recently

Image-Guided Pavement Defect Recognition in GPR Data with novel 3D Deep Learning Architecture

Ground Penetrating Radar (GPR) is a widely adopted non-destructive sensing technology for subsurface inspection in civil and transportation engineering. Despite its potential for pavement condition assessment, the large-scale application of GPR in automated inspection has two key challenges: the scarcity of annotated real-world datasets and the lack of deep learning models designed for the unique characteristics of 3-Dimensional (3D) GPR data. This study addresses these limitations by firstly introducing a cost-effective data preparation pipeline that integrates orthomosaic Red Green Blue (RGB) imagery with 3D GPR scans to generate annotated 3D GPR datasets. Authors: Yuandong Pan, Linjun Lu, Mudan Wang.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Ground Penetrating Radar (GPR) is a widely adopted non-destructive sensing technology for subsurface inspection in civil and transportation engineering.

Primary paperarxivcs.CV
Original
Artificial Intelligence / Machine Learning
NVIDIA Technical Blog8/21/2026
Recently

NVIDIA AVO Reaches 100% on ARC-AGI-3, Demonstrating a Frontier-Level General-Purpose Architecture for Long-Horizon Autonomous Agents

A frontier language model is only one component of an AI agent. The surrounding agent system—often called a harness—determines how the model receives... A frontier language model is only one component of an AI agent.

Why it matters

Read this for the official technical update in Artificial Intelligence / Machine Learning: A frontier language model is only one component of an AI agent.

Official source
Original

Archived section

Automation / Agentic Systems · 5

Automation / Agentic Systems
arXiv8/20/2026
Recently

MidTool: Mid-training Data Synthesis for Agentic Tool Use

Mid-training is increasingly recognized as a critical stage for shaping the capabilities of large language models. Recent work has shown that targeted mid-training can strengthen reasoning-intensive abilities such as math and science, and can also improve agentic capabilities in software-engineering settings. In this work, we study the parallel but less explored agentic capability: general tool use. Authors: Fengqing Jiang, Yite Wang, Boyi Liu.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Mid-training is increasingly recognized as a critical stage for shaping the capabilities of large language models.

Primary paperarxivcs.AI
Original
Automation / Agentic Systems
arXiv8/20/2026
Recently

The Third Restructuring of Software Form: From the Three-Tier Architecture to Storage, Models, and Agents

0, in which data determines behavior (machine learning). 0, in which context and reasoning determine behavior - is now underway, and contends that its terminal form converges to three elements: a generalized database (the unified abstraction of all persistent state and memory), a large model (the intelligence core that performs reasoning and generation), and an agent (the execution loop connecting the first two). The core argument is as follows: in the traditional three-tier architecture, the user-interface layer will be absorbed by the model's ability to generate interfaces on demand, the business-logic layer will be re-partitioned along "expressibility x criticality" into model reasoning and storage constraints (with residual deterministic logic retained as tools), and only the data layer will be elevated into the sole persistent infrastructure. Authors: Wei Lin, Tao Zhou, Zhaofei Xie.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: 0, in which data determines behavior (machine learning).

Primary paperarxivcs.AI
Original
Automation / Agentic Systems
arXiv8/20/2026
Recently

An Agentic Approach for Active Data Collection, Travel Behavior Modeling, and Weather-Sensitive Demand Prediction

Travel behavior research increasingly combines digital data collection with predictive modeling, yet these stages are often developed and evaluated separately. This study proposes a three-agent workflow integrating conversational data collection, structured data processing, and behavioral prediction. A chatbot-administered, image-augmented stated-preference survey collected mode choices from student commuters across five predefined weather scenarios, yielding 454 respondent-scenario observations. Authors: Narges Ahmadi, Yubo Jiao, Jônatas Augusto Manzolli.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Travel behavior research increasingly combines digital data collection with predictive modeling, yet these stages are often developed and evaluated separately.

Primary paperarxivcs.AI
Original
Automation / Agentic Systems
arXiv8/20/2026
Recently

AI4AI-Bench: Benchmarking LLM Agents in Algorithmic Design for Recursive Self-Improvement

Recursive self-improvement (RSI) asks whether an AI system can improve the process that produces AI systems, so that the next system inherits the improvement. That process is the training algorithm: a better objective or update rule improves the compute\mbox-capability exchange rate for every subsequent run, including the one that produces the next agent. Whether RSI is feasible therefore turns on whether an agent can design training algorithms. Authors: Yizhe Chi, Wenyi Li, Deyao Hong.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Recursive self-improvement (RSI) asks whether an AI system can improve the process that produces AI systems, so that the next system inherits the improvement.

Primary paperarxivcs.AI
Original
Automation / Agentic Systems
arXiv8/20/2026
Recently

Growth Without Us: Machine Consumers, Corporate Circularity, and the Decoupling of GDP from Humanity after AGI

The standard objection to full automation is demand-side: if humans earn nothing, who buys the output? This confuses an accounting role with a biological species. We model a post-AGI economy in which corporations own populations of AI and robotic agents that are both producers and consumers of energy, compute, maintenance, and upgrades, traded among firms. Authors: Sahil Sharma.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: The standard objection to full automation is demand-side: if humans earn nothing, who buys the output?

Primary paperarxivphysics.soc-ph
Original

Archived section

Research Papers · 5

Research Papers
arXiv8/20/2026
Recently

Navigating and Retrieving Information in Immersive Model-Based Design Reviews: An Exploratory Study

Digital engineering uses many models from different perspectives, creating a connected set of digital artefacts across a product's life cycle. Designers seeking a holistic view must navigate numerous models and views, requiring domain-specific software, languages, and representations. This can lead to getting lost in scattered information and the cognitive burden of mentally integrating details across diagrams. Authors: Victor Romero, Romain Pinquié, Frédéric Noel.

Why it matters

Read this for the paper's specific claim in Research Papers: Digital engineering uses many models from different perspectives, creating a connected set of digital artefacts across a product's life cycle.

Primary paperarxivcs.HC
Original
Research Papers
arXiv8/19/2026
Recently

LearnAI: Just-in-Time AI Co-Creation Across Disciplines at a University

As generative AI reshapes professional and educational practice, institutions face a challenge: how to support diverse learners, from non-coders to advanced students, in building confidence and practice with AI-supported problem solving. Most institutional responses bifurcate into conceptual workshops for general audiences or technical courses for computer science majors, leaving few spaces where mixed-ability learners can engage common AI tasks at levels matched to their prior experience. This experience report presents the LearnAI Framework, a two-layer model for just-in-time AI co-creation piloted at a comprehensive teaching university. Authors: Weihao Qu, Ling Zheng, Chris Buzaid.

Why it matters

Read this for the paper's specific claim in Research Papers: As generative AI reshapes professional and educational practice, institutions face a challenge: how to support diverse learners, from non-coders to advanced students, in building confidence and practice with AI-supported problem solving.

Primary paperarxivcs.CY
Original
Research Papers
Microsoft Research Blog8/20/2026
Recently

Broadening access to Skala creates a faster path to predictive DFT

1, the updated deep-learning exchange-correlation functional from Microsoft Research, provides greater accuracy, expanded accessibility across the computational chemistry ecosystem, and a living benchmark to track computational performance. The post Broadening access to Skala creates a faster path to predictive DFT appeared first on Microsoft Research.

Why it matters

Read this for the official technical update in Research Papers: 1, the updated deep-learning exchange-correlation functional from Microsoft Research, provides greater accuracy, expanded accessibility across the computational chemistry ecosystem, and a living benchmark to track computational performance.

Official sourceResearch Blog
Original
Research Papers
arXiv8/19/2026
Recently

FedGuard-DC: Privacy-Preserving Federated Load Forecasting and Cyber-Attack Detection for Data-Center Loads in Transmission Systems

The rapid growth of large data-center (DC) loads is creating new challenges for power-system visibility, privacy, and cyber-physical security. System operators need accurate short-term information about these fast-varying loads, while DC operators may avoid sharing raw megawatt measurements because they can reveal sensitive workload and utilization patterns. This paper presents FedGuard-DC, a federated learning (FL) framework for privacy-preserving DC load forecasting and local false-data-injection attack (FDIA) detection. Authors: Md Kibria Saroare, Md Rubel Ahmed.

Why it matters

Read this for the paper's specific claim in Research Papers: The rapid growth of large data-center (DC) loads is creating new challenges for power-system visibility, privacy, and cyber-physical security.

Primary paperarxivcs.CR
Original
Research Papers
arXiv8/19/2026
Recently

Trade-offs in Data Color Palette Design Tools

Designing a color palette for data requires designers to balance multiple constraints, including accessibility and aesthetics. Color palette tools support this process through features including direct manipulation, automated palette generation and evaluation, previews, and so on. Despite their prominence, relatively little is known about how these different mechanisms shape design across contexts. Authors: Shiyi He, Andrew M McNutt.

Why it matters

Read this for the paper's specific claim in Research Papers: Designing a color palette for data requires designers to balance multiple constraints, including accessibility and aesthetics.

Primary paperarxivcs.HC
Original

Archived section

Embedded Systems · 5

Embedded Systems
arXiv8/20/2026
Recently

Taming the Tilt: A Unified Pilot Control Concept for Transformational eVTOL Aircraft

Transformational electric vertical take-off and landing (eVTOL) vehicles have gained significant attention over the past decade due to their efficient wing-borne cruise capabilities and reduced reliance on ground-based infrastructure. However, control system design for these vehicles remains challenging, as they must operate across multiple flight phases, each with distinct dominant dynamics. If left unaddressed, this complexity would significantly increase pilot workload, thus motivating the development of pilot control systems for multi-phase flight operations. Authors: Daniel Milz, Marc May, Andreas Seefried.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Transformational electric vertical take-off and landing (eVTOL) vehicles have gained significant attention over the past decade due to their efficient wing-borne cruise capabilities and reduced reliance on ground-based infrastructure.

Primary paperarxiveess.SY
Original
Embedded Systems
Hackster.io8/20/2026
Recently

Takamori Robot's HIRO Is a Second-Generation Raspberry Pi Pico 2-Powered DIY Robot Kit

O Model TR-01-A Standard Edition, hereafter known simply as HIRO. "[HIRO is] a Raspberry Pi Pico-based robotics platform by Takamori Robot," Casebeer explains of his creation. "A robot that is yours!

Why it matters

Read this for the engineering context in Embedded Systems: O Model TR-01-A Standard Edition, hereafter known simply as HIRO.

Trusted source
Original
Embedded Systems
Hackster.io8/20/2026
Recently

These Drones Are Like Sensor-Laden Ticks for Icebergs

Climate science is very mature and we have a solid understanding of the general trajectory of climate change, but more data is always better and can help to refine models that generate better predictions. Icebergs and glacial calving are particularly enticing subjects, but studying them is difficult. That's why a team of Canadian roboticists developed this drone model, called Ice Dart, that can cling to an iceberg like a sensor-laden tick.

Why it matters

Read this for the engineering context in Embedded Systems: Climate science is very mature and we have a solid understanding of the general trajectory of climate change, but more data is always better and can help to refine models that generate better predictions.

Trusted source
Original
Embedded Systems
IEEE Spectrum8/21/2026
Recently

Stop Hunting, Start Solving: Accelerating Root Cause Analysis with Agentic AI

About this Webinar Turn Yield Excursions into Faster, More Confident Root Cause Analysis When a yield issue emerges, the answer rarely lives in a single system. Critical clues are spread across metrology data, tool traces, chemical analysis, and facilities systems, while growing data volumes make traditional dashboards slow, fragmented, and difficult to act on. What You'll Learn: Discover how a purpose-built semiconductor analytics platform can help engineers connect insights across domains without moving data.

Why it matters

Read this for the concrete reporting in Embedded Systems: About this Webinar Turn Yield Excursions into Faster, More Confident Root Cause Analysis When a yield issue emerges, the answer rarely lives in a single system.

Trusted sourceType-webinarSemiconductor-manufacturing
Original
Embedded Systems
NVIDIA Technical Blog8/19/2026
Recently

Post-Train NVIDIA Cosmos 3 Edge for On-Device Robot Control

Robots need policies that can adapt to their sensors, environments, and tasks while running on onboard computing hardware. World models offer a foundation for... Robots need policies that can adapt to their sensors, environments, and tasks while running on onboard computing hardware.

Why it matters

Read this for the official technical update in Embedded Systems: Robots need policies that can adapt to their sensors, environments, and tasks while running on onboard computing hardware.

Official source
Original

Archived section

Computer Systems · 5

Computer Systems
arXiv8/20/2026
Recently

Design and Empirical Evaluation of a Network-Centric, On-Premises Architecture for Earth Observation Data Access

Earth observation (EO) programmes generate data at volumes that exceed the transfer and storage capacity of most institutional networks. Public cloud platforms address this for well-resourced organisations, but institutions across the Atlantic basin face constraints in connectivity, sovereignty and funding that make on-premises infrastructure the only viable path. Cloud-native data formats enable efficient partial reads, yet their performance depends on the bandwidth of the underlying network fabric, a dependency rarely measured in isolation. Authors: João Pinelo, João Gonçalves, Denis Willett.

Why it matters

Read this for the paper's specific claim in Computer Systems: Earth observation (EO) programmes generate data at volumes that exceed the transfer and storage capacity of most institutional networks.

Primary paperarxivcs.DC
Original
Computer Systems
arXiv8/20/2026
Recently

Formal Performance and Compile Time Guarantees for Compiler Optimization Heuristics

Modern optimizing compilers rely on heuristic search algorithms for NP-hard optimization problems, which can result in poor generated-code performance and long or unpredictable compile times. These are considered bugs by users, but verified compilers rarely reason beyond semantic preservation. We propose verifying performance and compile time properties of compiler passes. Authors: Nikil V. Shyamsunder.

Why it matters

Read this for the paper's specific claim in Computer Systems: Modern optimizing compilers rely on heuristic search algorithms for NP-hard optimization problems, which can result in poor generated-code performance and long or unpredictable compile times.

Primary paperarxivcs.PL
Original
Computer Systems
arXiv8/20/2026
Recently

Architecture and Compilation Co-Design for High-Rate Quantum Product Codes on Neutral Atom Arrays

Achieving fault-tolerant quantum computing at a practical scale demands quantum error correction (QEC) codes with high encoding rates. Quantum low-density parity-check (qLDPC) codes emerge as a promising candidate, especially given the rise of neutral atom arrays that provide dynamic long-range connectivity via atom movements. In general, synthesizing valid and efficient physical execution plans for QEC is a provably hard combinatorial problem, forming a critical compilation bottleneck that worsens as code sizes grow. Authors: Adrian Liu, Wan-Hsuan Lin, Daniel Bochen Tan.

Why it matters

Read this for the paper's specific claim in Computer Systems: Achieving fault-tolerant quantum computing at a practical scale demands quantum error correction (QEC) codes with high encoding rates.

Primary paperarxivquant-ph
Original
Computer Systems
AWS Architecture Blog8/21/2026
Recently

Build a unified AI agent architecture with DynamoDB and Bedrock

With native vector search in Amazon DynamoDB, you can store vector embeddings alongside your operational data in a single table. This post shows how to build a unified AI agent architecture where an Amazon Bedrock agent uses one DynamoDB table for both structured lookups and semantic search, with a DynamoDB Streams pipeline that keeps embeddings in sync.

Why it matters

Read this for the official technical update in Computer Systems: With native vector search in Amazon DynamoDB, you can store vector embeddings alongside your operational data in a single table.

Official sourceAdvanced (300)Amazon DynamoDB
Original
Computer Systems
AWS Compute Blog8/20/2026
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Amazon Linux default SSM parameter will now track the latest kernel

The Amazon Linux kernel-default SSM parameter now updates to point to the latest kernel version as new releases become available. This post explains what this means for your workloads and how to manage the transition.

Why it matters

Read this for the official technical update in Computer Systems: The Amazon Linux kernel-default SSM parameter now updates to point to the latest kernel version as new releases become available.

Official sourceAdvanced (300)Amazon EC2
Original

Archived section

Developer Tools / Open Source · 5

Developer Tools / Open Source
Vercel Blog8/20/2026
Recently

Vercel CLI expands support for DNS, domains, and project commands

The Vercel CLI now provides dedicated commands for managing DNS records, domains, and projects. This brings more of the functionality available through the Vercel dashboard and API to the terminal, where it can be used interactively, in scripts, or by agents. Retrieve the complete configuration for a DNS record or update it in place using its record ID.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: The Vercel CLI now provides dedicated commands for managing DNS records, domains, and projects.

Official source
Original
Developer Tools / Open Source
Docker Blog8/21/2026
Recently

Running AI agents in GitHub Actions with Docker Sandboxes

Run AI agents in GitHub Actions with Docker Sandboxes. See how isolated agents can run Testcontainers tests, fix code, and open draft pull requests.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: Run AI agents in GitHub Actions with Docker Sandboxes.

Official sourceEngineeringAI Agent
Original
Developer Tools / Open Source
GitHub Blog8/20/2026
Recently

The August 17 outage, and the work ahead

An update on the August 17 outage and the steps we're taking to improve reliability. The post The August 17 outage, and the work ahead appeared first on The GitHub Blog.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: An update on the August 17 outage and the steps we're taking to improve reliability.

Official sourceCompany newsNews & insights
Original
Developer Tools / Open Source
arXiv8/20/2026
Recently

BreakGuard: Towards Detecting Dependency Breaking Changes with LLM-Generated Tests

Open-source libraries play an important role in software development by providing reusable features that expedite the development process. As libraries evolve, they release new versions that add features, fix bugs, or apply security patches. In this process, they may break the contract established with their clients by introducing breaking changes (BCs) that alter the runtime behavior and break client applications. Authors: Rachna Raj, Benoit Baudry, Diego Elias Costa.

Why it matters

Read this for the paper's specific claim in Developer Tools / Open Source: Open-source libraries play an important role in software development by providing reusable features that expedite the development process.

Primary paperarxivcs.SE
Original
Developer Tools / Open Source
Vercel Blog8/21/2026
Recently

Deployment Storage keeps your deployments rollback-ready

Every deployment produces a set of files, including the pages, functions, and assets Vercel serves. Deployment Storage keeps those files available so you can inspect previous deployments and roll back when needed. Instantly roll back to previous deployments in seconds If a production deploy ships a bug or a change you want to reverse, rolling back restores the previous version in seconds.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: Every deployment produces a set of files, including the pages, functions, and assets Vercel serves.

Official source
Original

Archived section

Cloud / Infrastructure · 5

Cloud / Infrastructure
Vercel Blog8/21/2026
Recently

How Ora benchmarks every major AI agent on Vercel

Ora on Vercel Every harness expects its own infrastructure One platform under every harness Testing eve like any other harness The framework behind Ora's own agents Front end, back end, and agent runtime on one platform Every major agent tested side by side on live sites Hundreds of commits a day from a 16-person engineering team 7% fewer steps to reach the goal 2x native success: twice as many tasks finished on the customer's own site instead of falling back to web search 9% more valid endpoints: more of the endpoints the agent found were ones it could actually call Ora sends agents onto live websites with instructions to sign up for a product, integrate with it, and pay for it. Agents often fail, and by Ora's estimate, 99% of the web isn't agent-ready. The platform shows customers where and why agents fail, and what to change.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: Ora on Vercel Every harness expects its own infrastructure One platform under every harness Testing eve like any other harness The framework behind Ora's own agents Front end, back end, and agent runtime on one platform Every major agent tested side by side on live sites Hundreds of commits a day from a 16-person engineering team 7% fewer steps to reach the goal 2x native success: twice as many tasks finished on the customer's own site instead of falling back to web search 9% more valid endpoints: more of the endpoints the agent found were ones it could actually call Ora sends agents onto live websites with instructions to sign up for a product, integrate with it, and pay for it.

Official source
Original
Cloud / Infrastructure
CNCF Blog8/21/2026
Recently

How to turn slow queries into actionable reliability metrics with OpenTelemetry

Slow SQL queries degrade user experience, cause cascading failures, and turn simple operations into production incidents. The traditional fix? Collect more telemetry.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: Slow SQL queries degrade user experience, cause cascading failures, and turn simple operations into production incidents.

Official sourceBlog
Original
Cloud / Infrastructure
Cloudflare Blog8/20/2026
Recently

From all-or-nothing to task-based OAuth consent

Cloudflare OAuth now supports optional scopes, giving users more control over what an app can access and helping developers build secure consent flows around the task at hand.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: Cloudflare OAuth now supports optional scopes, giving users more control over what an app can access and helping developers build secure consent flows around the task at hand.

Official sourceAgentsAPI
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Cloud / Infrastructure
NVIDIA Technical Blog8/19/2026
Recently

Developing NVIDIA Holoscan Applications with CLI, Skills, and AI Coding Agents

NVIDIA Holoscan is a platform for building real-time AI applications at the edge, from medical imaging to robotics. HoloHub is its companion repository: a... NVIDIA Holoscan is a platform for building real-time AI applications at the edge, from medical imaging to robotics.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: NVIDIA Holoscan is a platform for building real-time AI applications at the edge, from medical imaging to robotics.

Official source
Original
Cloud / Infrastructure
Cloudflare Blog8/19/2026
Recently

A revisit of remote Spectre attacks on Cloudflare Workers

In 2024 and 2025, we reassessed remote Spectre attacks on our Workers infrastructure. We share details about the new attack primitives like Spectre gadgets, remote timers, achieving co-location and how new defenses further harden Cloudflare Workers.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: In 2024 and 2025, we reassessed remote Spectre attacks on our Workers infrastructure.

Official sourceAttacksEdge
Original