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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 · 3

Archived section

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
arXiv8/20/2026
Recently

Explainable Transformer Models for Clinical Prediction Tasks on Structured Electronic Health Records

Predictive models over structured electronic health records (EHRs) remain central to machine learning for healthcare, but few have jointly emphasized quantitative laboratory information and interpretability with respect to input medical events. We present BERT-LER, a BERT-style model for coded EHR timelines pretrained and fine-tuned from a de-identified EHR dataset of 75 million patients, that encodes laboratory test results as discrete tokens while retaining graded information through percentile-based binning, paired with Integrated Gradients for token-level attributions grounded in the input EHR sequence. We benchmark our approach on the public EHRShot benchmark suite and on an asthma severity progression study based on real-world data. Authors: Jun Ni Du, Lukas Adamek, Maxim Kryukov.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Predictive models over structured electronic health records (EHRs) remain central to machine learning for healthcare, but few have jointly emphasized quantitative laboratory information and interpretability with respect to input medical events.

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

Inter-X++: A Comprehensive Benchmark for Multimodal Human-Human Interaction Analysis

The capability to perceive and synthesize human-human interactions is fundamental to developing intelligent digital human systems. However, existing datasets and modeling approaches are fundamentally constrained by low-fidelity kinematics, the omission of dexterous hand gestures and a severe lack of rich multimodal annotations. Furthermore, fragmented interaction representations and inconsistent evaluation protocols also impede fair and rigorous benchmarking. Authors: Liang Xu, Chengqun Yang, Zili Lin.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: The capability to perceive and synthesize human-human interactions is fundamental to developing intelligent digital human systems.

Primary paperarxivcs.CV
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

From Agent Behaviour to Agent-Friendly Documentation: An Empirical Study of How Coding Agents Discover, Read, and Write Technical Documentation

Technical documentation is written for human developers, but an increasing share of software changes is now authored by autonomous coding agents. Which documents they consult, when, and what follows remain unknown. We conduct a behaviour-grounded study of agent-documentation interaction across two public datasets: 557 agentic coding sessions from SWE-chat, yielding 94,813 development events including 3,033 documentation interactions; and 33,097 agentic pull requests from AIDev, with 690,260 classified file-level change records. Authors: Zhijun Gao, Jing Chen.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Technical documentation is written for human developers, but an increasing share of software changes is now authored by autonomous coding agents.

Primary paperarxivcs.SE
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

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
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
Hugging Face Blog8/20/2026
Recently

Measuring benchmark optimization in speech recognition

No source excerpt was provided. Open the original source for full context.

Why it matters

Read this for the official technical update in Research Papers: Measuring benchmark optimization in speech recognition

Official source
Original
Research Papers
arXiv8/20/2026
Recently

Chameleon: Robust Defense Against Tor Website Fingerprinting via Many-to-Many Traffic Morphing

Website fingerprinting (WF) attacks can infer users' browsing activities from encrypted Tor traffic by exploiting side-channel features. Although many WF defenses have been proposed, we find that most existing defenses create learnable web trace mapping features. We further show that robustness against adversarial training does not necessarily imply robustness against defense-aware autoencoder (DAAE)-based attacks. Authors: Yuwen Cui, Kai Wei, Kehan Shen.

Why it matters

Read this for the paper's specific claim in Research Papers: Website fingerprinting (WF) attacks can infer users' browsing activities from encrypted Tor traffic by exploiting side-channel features.

Primary paperarxivcs.CR
Original
Research Papers
arXiv8/20/2026
Recently

Trustworthy mobile edge caching: a blockchain approach to mitigate malicious nodes and incentivize cache sharing

As mobile network traffic continues to grow, content caching on edge servers is critical for reducing latency. However, challenges such as malicious edge servers that may delete or manipulate cached content, along with the limited capacity of these servers, need to be addressed. To overcome the capacity limitations, helper mobile nodes can contribute their cache resources. Authors: Motahare Ebrahimi, Nastooh Taheri Javan, Seyedakbar Mostafavi.

Why it matters

Read this for the paper's specific claim in Research Papers: As mobile network traffic continues to grow, content caching on edge servers is critical for reducing latency.

Primary paperarxivcs.CR
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

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
arXiv8/20/2026
Recently

Adaptive RBFNN Control of Uncertain Bilateral Teleoperation Systems with Delay-Dependent LMI Stability Conditions

Bilateral teleoperation requires stability despite uncertain master and slave dynamics and delayed communication channels. Existing radial basis function neural network (RBFNN) controllers mainly differ in uncertainty decomposition, while online adaptive parameters often increase with network size. This paper proposes a compact two-sided adaptive controller for a nonlinear bilateral teleoperator with constant forward and backward delays. Authors: Mohammadali Ghaemifar, Arshia Goshtasbi, Arian Hajizadeh.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Bilateral teleoperation requires stability despite uncertain master and slave dynamics and delayed communication channels.

Primary paperarxiveess.SY
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
Raspberry Pi News8/21/2026
Recently

Measuring what's inside: calculating the carbon footprint of our products

Carbon reporting is the first step towards building products that are less harmful to the planet. The post Measuring what's inside: calculating the carbon footprint of our products appeared first on Raspberry Pi.

Why it matters

Read this for the official technical update in Embedded Systems: Carbon reporting is the first step towards building products that are less harmful to the planet.

Official sourceIndustryResearch
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
Recently

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 · 3

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
Original