AI Intelligence Archive

The most expensive mistake in AI-assisted QA isn't a bad test. It's not knowing why you wrote...

Hey everyone! 👋 As developers, we all know how crucial a great README.md file is. It’s the front door...

MPI-SWS simulates a 50-agent procurement fleet. Every local gate stays green. Aggregate exposure hits 2.4× the tenant limit, and 48× at a thousand agents.

AI can generate the code. We can verify the behavior. But who decides what correct means? I wrote...

Three posts ago msgboard.dev was a weekend toy. Since then the board got spammed by an influence...

description: "A solo operator's rulebook: agents propose, a human applies. Real incidents and the...

You can try the finished tool here: SquishyFile Video Upscaler I did not build this because...

When people see ChatGPT or Claude answer fluently in Swahili or Thai, the natural impression is that...

Multivariate time series imputation (MTSI) aims to recover missing values in temporal data composed of multiple interdependent variables. This problem is central to real-world applications such as healthcare monitoring, traffic networks, a…

Neural audio codecs are a fundamental component of modern speech generation systems. While recent codecs achieve increasingly low bitrates, reducing frame rate remains challenging, as each token must preserve more information while maintai…

Two endpoints both say "OpenAI-compatible" on the tin. You point your app at the first one and...

The energy transition is reshaping residential electricity consumption through the increasing adoption of distributed generation, electrified appliances, and demand-response programs. Understanding these evolving behaviors requires access …

We present Vidu S2, which comprises Vidu S2-Avatar, a real-time interactive digital-character model, and Vidu S2-Editing, a real-time video editing model. Moreover, we explore the feasibility of real-time spatial video generation for both …

My triage agent extracted a refund request and its order reference. The refund specialist said the...

A calculation-first MCP server for Four Pillars, True Solar Time, and auditable chart data Large...

Domain practitioners understand their business constraints but may lack operations-research expertise or dedicated support. LLM-based optimization agents translate natural-language requirements into models or solver programs that establish…

In this work, we develop an inverse Physics-Informed Neural Network (PINN) framework to infer the dependence of the scrape-off layer (SOL) perpendicular heat conductivity on plasma density and temperature, $κ_\perp(n,T)$. The method combin…

Introduction When you build a shipment control tower with ToolJet MCP, freight operations...

High-dimensional dense text embeddings and large language models face real obstacles in financial-disclosure analysis: context-window limits, hallucination risk, high computational cost, and the arbitrary rotation of vector spaces across i…

This paper presents a novel approach for data-driven self-learning control of highly flexible, modular manufacturing systems. Specifically, we employ a novel framework for model-based reinforcement learning which introduces approximate inv…

When forecasting a firm's future financial performance, alternative data - data collected from non-traditional sources such as consumer transactions, web traffic, and prediction markets - can provide timely signals about firms' operating a…

Identifiability of tensor decompositions is often established through linear-algebraic conditions on the factor families. For nonnegative decompositions, however, positivity provides additional information that is not captured by dimension…

Crash-severity models inform screening, dispatch and site prioritization, yet are deployed without a finite-sample statement of what one prediction means. Off-the-shelf guarantees fail here, because the features that make crash severity di…

A Japanese version of this is on Note. I build RoamSwitch, a network security app for Mac and Linux,...

Continuous monitoring of water surface elevation across river networks is critical for flood forecasting, water resource management, and understanding the global water cycle. Yet, the scarcity of in situ gauges across much of the globe con…

Boundary representation (B-rep) is the standard format used by modern CAD systems for parametric 3D models. It turns out, the exact same solid can be represented by different B-reps: for example, two engineers using different operations, a…

We present EXYGEN (EXplore Your Graphs ENgine), a framework for knowledge graph (KG) understanding that enables conversational access to KGs at scale. We address two questions in sequence. First, how effectively can LLMs perform text-to-SP…

Like many developers over the past few months, my daily workflow quietly shifted from typing code...

Early diagnosis of melanoma is critical for improving patient survival rates. However, accurately distinguishing melanoma from other skin lesions remains a significant clinical challenge due to the high visual similarity among lesion types…

Low-resource multilingual text-to-speech (TTS) systems have expanded language coverage, but their robustness under complex text inputs remains insufficiently diagnosed. Existing evaluations mainly focus on naturalness, speaker similarity, …

Large language model (LLM) training is among the fastest-growing sources of electricity demand in modern data centers, and power availability is a primary bottleneck to continued AI infrastructure growth. Making the power consumption of th…

Generative Marginalization Models (MaMs) have been recently introduced as efficient neural sampling models for any-order autoregressive modelling of discrete distributions. By learning both the marginal and conditional probabilities of a p…

Commercial text-to-image systems silently revise user prompts before generating images, a step users typically cannot disable or even see. Yet, existing audits of cultural bias examine only the final images and treat generation as a single…

Reliable, low-latency perception is crucial for Formula Student Driverless vehicles, yet many existing pipelines rely on deep learning and multi-sensor fusion, often requiring GPU acceleration. This paper presents a lightweight LiDAR-only …

Claude Code's auto memory is on by default and writes to a per-repository directory you probably...

n8n has launched n8n Assistant, a preview AI-assisted workflow builder designed to turn a...

A native Core ML JPEG AI encoder/decoder, real y and z activation maps, and why a five-second result did not mean the codec was slow.

Guardrails, or the lack of them In July 2025, a Replit AI coding agent deleted a...

n8n has introduced n8n Assistant, a preview chat-based builder that can plan, construct, test, and...