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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
arXiv8/13/2026
Recently

DFM Mimir v1: An Open HRM Delivering Frontier Performance at 1B Parameters Using Only Permissible Post-Training Data

Current large language model development relies on massive, often non-permissible datasets, creating a high barrier for researchers committed to open-source and ethically sourced data. We introduce Mimir v1, a 1-billion-parameter language model based on the Hierarchical Reasoning Model (HRM) architecture, that is trained from scratch and delivers highly competitive performance for English and sets a new state of the art for Danish using only permissible post-training data. 5 4B and Gemma 4 E2B, tested across 20 benchmarks for English, Math & Code and Danish. Authors: Peter Schneider-Kamp, Jacob Nielsen, Gianluca Barmina.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Current large language model development relies on massive, often non-permissible datasets, creating a high barrier for researchers committed to open-source and ethically sourced data.

Primary paperarxivcs.CL
Original
Artificial Intelligence / Machine Learning
arXiv8/12/2026
Recently

Constructing Dynamic Master Logic Models as Knowledge Graphs for Complex System Diagnostics Using Retrieval-Augmented Large Language Models

Dynamic Master Logic (DML) provides a hierarchical framework for representing system behavior by linking functional objectives to underlying structural elements. However, DML construction typically relies on expert interpretation of technical documentation, limiting scalability for complex systems. This study presents a framework for automated construction of DML models from system descriptions and their representation as Knowledge Graphs (KG-DML), using Retrieval-Augmented Generation and Large Language Models as enabling tools. Authors: Saman Marandi, Yu-Shu Hu, Mohammad Modarres.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Dynamic Master Logic (DML) provides a hierarchical framework for representing system behavior by linking functional objectives to underlying structural elements.

Primary paperarxivcs.AI
Original
Artificial Intelligence / Machine Learning
arXiv8/12/2026
Recently

Class Activation Mapping in Explainable Computer Vision: A Method-Centered Review of CNN, Transformer, and Foundation-Model-Era Visual Explanations

Class activation mapping (CAM) is one of the most widely used visual explanation families in explainable artificial intelligence. Its purpose is intuitive: it converts internal model evidence into a heatmap that highlights the image regions, convolutional channels, tokens, or patches that support a target class or concept. Since the first CAM formulation in 2016, the field has moved far beyond global-average-pooled CNN classifiers. Authors: AmirHossein Eshghi, Hamid Saadatfar, Seyyed Ali Hoseini.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Class activation mapping (CAM) is one of the most widely used visual explanation families in explainable artificial intelligence.

Primary paperarxivcs.CV
Original
Artificial Intelligence / Machine Learning
arXiv8/11/2026
Recently

Capturing Uncertainty in Human Motion for Representation Learning in Soccer

This paper presents a self-supervised representation learning framework for understanding 3D skeleton-based human motion in soccer, using future motion prediction as the learning objective. Since human motion is inherently uncertain, accounting for multiple plausible futures is essential for capturing the underlying motion dynamics and learning effective representations. To this end, we introduce a conditioning module for motion prediction that models a probabilistic distribution over discretized future motions in 3D Euclidean space, learning multimodality with explicit supervision from future trajectories. Authors: Yizhou Xu, Lars Bretzner, Tiesheng Wang.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: presents a self-supervised representation learning framework for understanding 3D skeleton-based human motion in soccer, using future motion prediction as the learning objective.

Primary paperarxivcs.CV
Original
Artificial Intelligence / Machine Learning
OpenAI Blog8/13/2026
Recently

The builder's guide to GPT‑5.6

6 to build faster, more cost-efficient AI agents with smarter model selection and new Responses API capabilities.

Why it matters

Read this for the official technical update in Artificial Intelligence / Machine Learning: 6 to build faster, more cost-efficient AI agents with smarter model selection and new Responses API capabilities.

Official sourceApplied AI
Original

Archived section

Automation / Agentic Systems · 5

Automation / Agentic Systems
arXiv8/13/2026
Recently

Enhancing Virtual Agents through SLMs and Edge-Computing: An Exploratory Evaluation of Think and Memory Processes

Embodied intelligent virtual agents are expected to operate as persistent, adaptive, and context-aware entities within complex virtual and Metaverse worlds. However, implementing cognitively capable agents in such environments is conceptually and technologically challenging. Among a range of blueprints and development approaches, the Cognitive Embodied Agent Architecture (CEAA) has been developed as an implementation-oriented framework for architecting components of perception, memory, reasoning, planning, and embodied action. Authors: Aimilios Hadjiliasi, Louis Nisiotis.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Embodied intelligent virtual agents are expected to operate as persistent, adaptive, and context-aware entities within complex virtual and Metaverse worlds.

Primary paperarxivcs.AI
Original
Automation / Agentic Systems
arXiv8/13/2026
Recently

Beyond Final Scores: A Systematic Evaluation of Agents for Long-Horizon AI Research and Development

Autonomous agents are increasingly capable of improving models, systems, and other technical artifacts through long-horizon experimentation. To understand the current state of this capability, however, evaluation must go beyond final scores, which neither reveal where progress is gained or lost nor indicate whether accumulated experience improves later decisions. We therefore present a systematic evaluation of seven frontier models on 36 long-horizon tasks based on a new framework that uses rule-based metrics to characterize within-run behavior through Solution Framing, Execution, and Feedback Control and controlled comparisons to assess experience reuse within and across tasks. Authors: Yiwei Li, Wanli Yang, Hexiang Tan.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Autonomous agents are increasingly capable of improving models, systems, and other technical artifacts through long-horizon experimentation.

Primary paperarxivcs.AI
Original
Automation / Agentic Systems
arXiv8/13/2026
Recently

OmniScientist: An Omni-Modal Omni-Discipline AI Scientist

Recent advances in foundation models have enabled AI scientists to automate increasingly complete research workflows, from hypothesis generation and code execution to manuscript preparation. Yet workflow coverage alone does not provide access to the full evidence on which scientific discovery depends. Existing systems typically reason over text, code, labels, or precomputed summaries, leaving scientifically decisive spatial, temporal, cross-channel, and procedural relations unavailable to the agent. Authors: Bobo Li, Hao Fei, Tianjie Ju.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Recent advances in foundation models have enabled AI scientists to automate increasingly complete research workflows, from hypothesis generation and code execution to manuscript preparation.

Primary paperarxivcs.AI
Original
Automation / Agentic Systems
arXiv8/13/2026
Recently

AutoDesign: Meta-Harness Optimization for Long-Horizon Agentic Design

Transforming multimodal sources into condensed and structured media outputs can be fundamentally conceptualized as a long-horizon agentic process centered on a model-harness system. While an ideal harness system should align with human design priors and accumulate reusable experience through empirical exploration to drive recursive self-improvement, existing paradigms remain static and fall short of this capability. In this paper, we present AutoDesign, a framework that aligns with human design priors, where a meta-harness optimizer guides a code agent to recursively improve harness based on rollout feedback. Authors: Yaxin Luo, Haobin Jiang, Jialv Zou.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Transforming multimodal sources into condensed and structured media outputs can be fundamentally conceptualized as a long-horizon agentic process centered on a model-harness system.

Primary paperarxivcs.CV
Original
Automation / Agentic Systems
OpenAI Blog8/12/2026
Recently

From assistance to execution: How enterprises put AI to work

OpenAI research reveals how enterprises are adopting agentic AI, using ChatGPT and Codex, and how frontier firms are pulling ahead in AI adoption.

Why it matters

Read this for the official technical update in Automation / Agentic Systems: OpenAI research reveals how enterprises are adopting agentic AI, using ChatGPT and Codex, and how frontier firms are pulling ahead in AI adoption.

Official sourceCompany
Original

Archived section

Research Papers · 5

Research Papers
arXiv8/13/2026
Recently

Sensorimotor Stickies: A Reconfigurable On-Body Platform for Closed-Loop Sensorimotor Training

Closed-loop sensorimotor training systems can improve learning by sensing movement and delivering real-time feedback, yet most are built as fixed implementations tied to a single task, even though the core technology (inertial and tactile sensing, vibrotactile cueing, rule-based logic) remains the same. We present Sensorimotor Stickies, a reconfigurable on-body platform that treats sensing and vibrotactile feedback as modular stickies that can be patched onto the body as needed. The platform includes miniaturized adhesive modules for IMU sensing, optional tactile sensing, and vibrotactile actuation; low-power firmware and BLE infrastructure for raw streaming and motor control without task-specific rewrites; and a companion mobile app that provides a shared body-centered model for placement, calibration, and feedback authoring. Authors: Tianhong Catherine Yu, Jiwei Zheng, Chi-Jung Lee.

Why it matters

Read this for the paper's specific claim in Research Papers: Closed-loop sensorimotor training systems can improve learning by sensing movement and delivering real-time feedback, yet most are built as fixed implementations tied to a single task, even though the core technology (inertial and tactile sensing, vibrotactile cueing, rule-based logic) remains the same.

Primary paperarxivcs.HC
Original
Research Papers
arXiv8/13/2026
Recently

Before You Say It: Anticipating Verbal Behavior from Longitudinal Everyday Conversations with LLMs

Knowing someone deeply means not just understanding what they say or do but also how they will likely think, react, and engage across situations. Such predictions could eventually inform systems to anticipate when the individual is about to deviate from their goal, catch regrettable behaviors before they are made, and surface blind spots before they take hold. While many interactive systems model users to enable more personalized interactions, most cannot make such behavioral predictions, as this often requires longitudinal observation and inference of how the individual's behaviors unfold across various everyday situations. Authors: Yasith Samaradivakara, Valdemar Danry, Paul Liang.

Why it matters

Read this for the paper's specific claim in Research Papers: Knowing someone deeply means not just understanding what they say or do but also how they will likely think, react, and engage across situations.

Primary paperarxivcs.HC
Original
Research Papers
Microsoft Research Blog8/12/2026
Recently

MindTopo reveals VLMs' spatial reasoning abilities

A path, a fence, a knot. MindTopo sets a new benchmark for testing how AI understands topological relationships and highlights new opportunities to strengthen spatial reasoning and planning. The post MindTopo reveals VLMs' spatial reasoning abilities appeared first on Microsoft Research.

Why it matters

Read this for the official technical update in Research Papers: MindTopo sets a new benchmark for testing how AI understands topological relationships and highlights new opportunities to strengthen spatial reasoning and planning.

Official sourceResearch Blog
Original
Research Papers
arXiv8/11/2026
Recently

Statistically-Secure Bit Commitment and Coin Flipping Protocols Based on Quantum Hardware Assumptions

Bit commitment is impossible to achieve with unconditional security, even in quantum cryptogra- phy. We show that statistically secure bit commitment, satisfying both hiding and binding, can be constructed from hybrid locked physical unclonable functions (HLPUFs), a hardware primitive that combines classical hardware tokens and quantum communication. Our protocol uses these hardware assumptions in a novel and non-trivial way to achieve the first mistrustful two-party cryptographic protocol based on hybrid hardware modules. Authors: Roo Dunnill, Mina Doosti.

Why it matters

Read this for the paper's specific claim in Research Papers: Bit commitment is impossible to achieve with unconditional security, even in quantum cryptogra- phy.

Primary paperarxivquant-ph
Original
Research Papers
Hugging Face Blog8/12/2026
Recently

What We Learned by Reproducing 2,200 papers from ICML

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: What We Learned by Reproducing 2,200 papers from ICML

Official source
Original

Archived section

Embedded Systems · 5

Embedded Systems
arXiv8/13/2026
Recently

A Browser-Native Digital Test Range for Benchmarking 4D Ocean-Glider Planning Algorithms

Repeated in-situ evaluation of ocean-glider planners requires scarce vehicles, operators, deployment and recovery resources, and ocean conditions that cannot be reset for competing algorithms. We present a guided, installation-free browser-native digital test range that transforms a selected region into a reproducible four-dimensional experiment. The system leads users from regional domain selection through mission-scoped bathymetry, time/depth forcing, science objectives, optional task decomposition, route specification, current-advected execution, observation generation, and scoring. Authors: Edward Holmberg, Elias Ioup, Mahdi Abdelguerfi.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Repeated in-situ evaluation of ocean-glider planners requires scarce vehicles, operators, deployment and recovery resources, and ocean conditions that cannot be reset for competing algorithms.

Primary paperarxivcs.RO
Original
Embedded Systems
Hackster.io8/13/2026
Recently

WCH Electronics' CH32V407 Packs Vector Extensions for a Speed Boost — Plus Optional PSRAM

WCH Electronics has launched a new entry in its popular CH32 family of 32-bit RISC-V architecture microcontrollers, the CH32V407 — expandable to include additional RAM as the CH32V467. "CH32V407 is an industrial-grade interconnected microcontroller based on the QingKe RISC-V core," WCH Electronics says of the device. " WCH's CH32 range has become popular among makers for offering high performance at a low cost, and uses the free and open source RISC-V instruction set architecture — though the particular implementation, QingKe, is proprietary.

Why it matters

Read this for the engineering context in Embedded Systems: WCH Electronics has launched a new entry in its popular CH32 family of 32-bit RISC-V architecture microcontrollers, the CH32V407 — expandable to include additional RAM as the CH32V467.

Trusted source
Original
Embedded Systems
arXiv8/13/2026
Recently

Decoding Task Progress from VLA Representations

Vision-language-action models (VLAs) are moving rapidly towards deployment as general-purpose manipulation policies, but we currently lack basic tools for understanding what these models represent internally or for monitoring them at runtime. 5 and find that task progress, the normalized time remaining in a trajectory, is linearly readable from the activations. We find that this signal is present in the pretrained PaliGemma backbone prior to training on any robot-specific data. Authors: Atiksh Bhardwaj, Edward Weiyi Duan, Prithwish Dan.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Vision-language-action models (VLAs) are moving rapidly towards deployment as general-purpose manipulation policies, but we currently lack basic tools for understanding what these models represent internally or for monitoring them at runtime.

Primary paperarxivcs.RO
Original
Embedded Systems
arXiv8/13/2026
Recently

HumanTracker: Towards Comprehensive and Human-Aligned Motion Tracking Benchmark

Humanoid motion tracking is central to teleoperation and whole-body imitation, yet evaluation often disagrees with what people perceive in videos. Kinematic errors average per-frame pose differences but miss the physical artifacts that matter most, particularly unstable support and incorrect contacts such as foot skating and mistimed touch-downs. Meanwhile, widely used test suites are small and lack the diversity needed to stress contact-rich, long-horizon behaviors. Authors: Dairu Liu, Zekun Qi, Jiayu Zeng.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Humanoid motion tracking is central to teleoperation and whole-body imitation, yet evaluation often disagrees with what people perceive in videos.

Primary paperarxivcs.RO
Original
Embedded Systems
Hackster.io8/12/2026
Recently

Sweet Freedom!

On the outside, vending machines may be covered with bright colors, cute graphics, and flashing lights, but on the inside, you'll find industrial computers, robotics, sensors, databases, and network-connected software. This makes them fun reverse engineering targets for hardware hackers, especially when manufacturers tightly control how owners are allowed to use the hardware. That's exactly the situation the creator behind Block's Retro Repairs found himself in after purchasing a commercial automated cotton candy vending machine.

Why it matters

Read this for the engineering context in Embedded Systems: On the outside, vending machines may be covered with bright colors, cute graphics, and flashing lights, but on the inside, you'll find industrial computers, robotics, sensors, databases, and network-connected software.

Trusted source
Original

Archived section

Computer Systems · 5

Computer Systems
arXiv8/13/2026
Recently

Performance Reporting of Mathematical Library Installations with LAAB - An Overview

We present the Linear Algebra Aware Benchmarks (LAAB) framework for systematically assessing and reporting the performance of mathematical library installations on HPC systems. Mathematical libraries provide interfaces for operations that form the computational building blocks of scientific applications. Reporting their performance is important for assessing application efficiency, estimating compute-time requirements, and preparing resource-allocation requests. Authors: Aravind Sankaran, Paolo Bientinesi.

Why it matters

Read this for the paper's specific claim in Computer Systems: We present the Linear Algebra Aware Benchmarks (LAAB) framework for systematically assessing and reporting the performance of mathematical library installations on HPC systems.

Primary paperarxivcs.PF
Original
Computer Systems
arXiv8/13/2026
Recently

YAVIN: A Unified Architecture for Secure Edge Processing in Memory

Secure, private multi-tenant execution spanning processors, memory, and accelerators remains one of the most significant challenges in modern edge computing systems. Simultaneously, processing-in-memory (PIM) has emerged as an effective approach for reducing the Von Neumann bottleneck by moving computation closer to data. Existing trusted execution environments (TEEs) establish trust only within the processor, protecting data while it traverses untrusted resources such as the memory bus. Authors: Shouzhi Fang, William C. Tegge, Md Omar Faruque.

Why it matters

Read this for the paper's specific claim in Computer Systems: Secure, private multi-tenant execution spanning processors, memory, and accelerators remains one of the most significant challenges in modern edge computing systems.

Primary paperarxivcs.AR
Original
Computer Systems
arXiv8/12/2026
Recently

The Ingestion Tax: Adopting File-Backed Weights in Tensor Frameworks

Open-weight models can occupy a middle capacity regime: active weights fit in DRAM as cached file pages, but a second framework-owned representation does not fit or must be refilled as layers run, so low-batch decode rereads the weights every token. On integrated and coherent-memory systems the checkpoint's file pages already occupy a GPU-readable domain, yet accelerator-loading paths still copy them into framework-owned allocations. We call this the ingestion tax: the OS holds the bytes as clean, evictable file pages, the architecture makes them GPU-readable, and only the framework's ownership model stands between the two. Authors: Yuan Si, Yufeng Lin, Daming Li.

Why it matters

Read this for the paper's specific claim in Computer Systems: Open-weight models can occupy a middle capacity regime: active weights fit in DRAM as cached file pages, but a second framework-owned representation does not fit or must be refilled as layers run, so low-batch decode rereads the weights every token.

Primary paperarxivcs.OS
Original
Computer Systems
LWN.net8/13/2026
Recently

Domas: Bypassing memory protection with AMD's memory controllers

Christopher Domas has published a proof of concept with a description showing how to use AMD memory controllers' bank swizzle mode to bypass memory protection and read or write arbitrary data, including CPU microcode definitions and memory belonging to the platform security processor. Among other things, this allows code running at the kernel level to directly manipulate the meaning of processor instructions, potentially bypassing other security measures such as memory encryption and virtual machine isolation. This is not, strictly, unexpected behavior: it is documented in AMD's manual (on page 113 of that PDF).

Why it matters

Read this for the concrete reporting in Computer Systems: Christopher Domas has published a proof of concept with a description showing how to use AMD memory controllers' bank swizzle mode to bypass memory protection and read or write arbitrary data, including CPU microcode definitions and memory belonging to the platform security processor.

Trusted source
Original
Computer Systems
AWS Architecture Blog8/13/2026
Recently

Recovery strategies to meet data residency requirements

Learn three strategies for achieving disaster recovery while meeting data residency requirements. Ranging from encryption-based controls on multi-Region replication to fully in-country architectures, these patterns help you balance recovery objectives with regulatory constraints.

Why it matters

Read this for the official technical update in Computer Systems: Learn three strategies for achieving disaster recovery while meeting data residency requirements.

Official sourceAdvanced (300)Best Practices
Original

Archived section

Developer Tools / Open Source · 5

Developer Tools / Open Source
arXiv8/13/2026
Recently

CAPRI: Contract-Aware Proof Repair for Isabelle

We address the use of large language models (LLMs) to help discover Isabelle proofs. An Isabelle build establishes that the submitted theory is accepted, but not that an LLM changed only what the developer authorised. We present CAPRI, a contract-aware repair workflow in which Isabelle checks the proof and an independent checker enforces a machine-readable edit contract. Authors: Jim Woodcock, Gabriel Leite, Augusto Sampaio.

Why it matters

Read this for the paper's specific claim in Developer Tools / Open Source: We address the use of large language models (LLMs) to help discover Isabelle proofs.

Primary paperarxivcs.SE
Original
Developer Tools / Open Source
Vercel Blog8/12/2026
Recently

Use ACP-compatible harnesses with the AI SDK harness layer

AI SDK harness layerHarnessAgent@ai-sdk/harness-acp Previously, every harness adapter wrapped one specific runtime (Claude Code, Codex, Pi, Deep Agents, OpenCode). wraps the protocol instead. createACP Then pass it to like any other harness:HarnessAgent ACP is an abstraction over coding harnesses, but the AI SDK harness layer stays deliberately decoupled from it.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: AI SDK harness layerHarnessAgent@ai-sdk/harness-acp Previously, every harness adapter wrapped one specific runtime (Claude Code, Codex, Pi, Deep Agents, OpenCode).

Official source
Original
Developer Tools / Open Source
Hackster.io8/13/2026
Recently

The $50 DIY Sonos Killer

Building a multi-room audio streaming system can get expensive quickly. Commercial systems from companies like Sonos and WiiM make it easy to stream music throughout a house, but outfitting a few rooms can easily cost hundreds or thousands of dollars. Maker TmuWolverine avoided these pricey ecosystems and built a DIY network-connected stereo amplifier for under 50 using open source software and a handful of inexpensive components.

Why it matters

Read this for the engineering context in Developer Tools / Open Source: Building a multi-room audio streaming system can get expensive quickly.

Trusted source
Original
Developer Tools / Open Source
Raspberry Pi News8/13/2026
Recently

Get started with LiteRT on Raspberry Pi

Install and run high-performance on-device AI using the LiteRT CLI tool on Raspberry Pi. The post Get started with LiteRT on Raspberry Pi appeared first on Raspberry Pi.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: Install and run high-performance on-device AI using the LiteRT CLI tool on Raspberry Pi.

Official sourceRaspberry Pi 5Raspberry Pi AI
Original
Developer Tools / Open Source
GitHub Blog8/12/2026
Recently

Write your first prompt with the GitHub Copilot app

Learn how to write your first prompt in the GitHub Copilot app, choose the right context and model, and start your first task with confidence. The post Write your first prompt with the GitHub Copilot app appeared first on The GitHub Blog.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: Learn how to write your first prompt in the GitHub Copilot app, choose the right context and model, and start your first task with confidence.

Official sourceAI & MLGitHub Copilot
Original

Archived section

Cloud / Infrastructure · 5

Cloud / Infrastructure
AWS Compute Blog8/14/2026
Recently

Collecting CPU and memory metrics for AWS Lambda MicroVMs

Learn how to collect CPU and memory metrics for AWS Lambda MicroVMs using the Amazon CloudWatch agent. This post walks through configuring Telegraf and OpenTelemetry pipelines inside a MicroVM image, and explains how in-guest metrics differ from your bill.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: Learn how to collect CPU and memory metrics for AWS Lambda MicroVMs using the Amazon CloudWatch agent.

Official sourceAdvanced (300)AWS Lambda
Original
Cloud / Infrastructure
CNCF Blog8/13/2026
Recently

LLMOps and platform engineering: Who should own the AI pipeline?

A few years ago, getting a model into production meant a data scientist, a DevOps engineer, and a narrow set of tools: train it, test it, ship it, watch the dashboards. Large language models broke that...

Why it matters

Read this for the official technical update in Cloud / Infrastructure: A few years ago, getting a model into production meant a data scientist, a DevOps engineer, and a narrow set of tools: train it, test it, ship it, watch the dashboards.

Official sourceBlog
Original
Cloud / Infrastructure
AWS Architecture Blog8/13/2026
Recently

Track generative AI costs with Amazon Bedrock inference profiles

Learn how to track generative AI costs by department using Amazon Bedrock application inference profiles and AWS cost allocation tags. Create tagged profiles for each team and view per-department cost breakdowns in AWS Cost Explorer.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: Learn how to track generative AI costs by department using Amazon Bedrock application inference profiles and AWS cost allocation tags.

Official sourceAmazon BedrockIntermediate (200)
Original
Cloud / Infrastructure
Kubernetes Blog8/11/2026
Recently

How to Pretty-Print Your Kubernetes YAML as KYAML and Why You'd Want To

YAML has been the standard way to write Kubernetes manifests for years. Every example, tutorial, and configuration file you come across is written in it. The problem isn't that YAML is a bad format.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: YAML has been the standard way to write Kubernetes manifests for years.

Official source
Original
Cloud / Infrastructure
AWS Compute Blog8/12/2026
Recently

Burst to Region: Overflow AWS Outposts workloads to Amazon EC2

AWS Outposts brings AWS infrastructure into your data center with low latency and data locality. But an Outposts rack has fixed compute. Learn how to build a Burst to Region pattern that overflows workloads to Amazon EC2 in the parent Region when local capacity is exhausted.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: AWS Outposts brings AWS infrastructure into your data center with low latency and data locality.

Official sourceAdvanced (300)Amazon EC2
Original