AI Intelligence Archive

Runtime failure monitors for robot policies are typically evaluated by how accurately they distinguish failed from successful executions. Yet an accurate alarm may arrive too late for recovery, while an unnecessary intervention may disrupt…

Clinical prognosis requires integrating structured measurements, physiological waveforms, longitudinal history, and population context. We introduce PRISM (Population-Retrieved Inference for Structured Multimodal Prognosis), a multimodal l…

Federated learning (FL) seeks to optimize a shared global model from decentralized client data. While effective for average performance, this process can produce unfair performance across clients, particularly under statistically heterogen…

Generative Recommenders increasingly use Reinforcement Learning (RL) to optimize outcomes that may appear hundreds or thousands of interactions after a decision. Standard RL propagates reward according to temporal proximity rather than exp…

Update, Oct 9: I wrote this on Sept 29. The first backtest finished on Oct 1. One signal first looked...

Existing LLM-based agent approaches for long-horizon machine learning engineering (MLE) often use context engineering, implemented through custom harnesses that manage tools, skills, and accumulated experience. However, we find that as sin…

This is a submission for the Kaggle Benchmarking Challenge What I Benchmarked A published...

Agentic orchestration delegates tasks to sub-agents with independent contexts, providing a key path to extending the effective execution horizon of large language model agents. However, existing orchestration methods face two limitations: …

On-policy distillation (OPD) provides teacher supervision on student-generated trajectories, but a single trajectory realizes only one continuation at each decision, limiting supervision coverage under a finite sampling budget. We propose …

In September 2026, IQVIA called trusted data, responsible AI, and enterprise governance the new...

Nonlinear model predictive control (NMPC) can be applied to large nonlinear systems with complex objectives while enforcing constraints, but the cost of solving the underlying optimization problems limits real-time application for systems …

Generating edge case scenarios is crucial for training, testing and safety assuring autonomous systems. This identifies hazardous failures to increase system reliability and robustness, ensures the system can still function safely on the b…

We derive approximation rates for Sobolev functions defined on the complex unit sphere and complex projective space, representing quantum states, and on the special and projective unitary groups, representing quantum unitary operations. By…

Representational similarity measures (RSA, CKA, Procrustes) are chosen for the transformations they treat as irrelevant, and all of them take the set of conditions as given. That set is fixed by two decisions, which inputs are admitted and…

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass ...

If you run AI agents on cron jobs the way I do, you already know where the bill comes from. It is not...

Multimodal LLMs can fail to read text embedded in an image's coarse structure (text a human recovers by squinting) and report that no text is present. We name this class Squint Text and study it as a recognition deficiency, motivated by ca…

A 2026 empirical study found that the reusable "skills" we plug into AI agents leak credentials at scale, usually during ordinary use, with no exploit…

AI systems are making rapid progress in mathematics, but this progress is hard to measure. Benchmarks of solved problems saturate, and in benchmarks of open problems each problem can be resolved for the first time only once. We present Squ…

Cyber-Physical Systems are developed through multiple model based activities, comprising several stages of development. As the development progresses through simulation, experimentation, and operation, observations of system execution may …

Large language models (LLMs) have taken the world by storm. Their ability to communicate with us in our own language, and to reason about our world, has made them a favorite tool for writing, answering questions, and much more. Their answe…

On September 4 I started a ComfyUI custom node: a canvas with layers and selection tools, so I could...

Speech recognition on low-cost microcontrollers is, in practice, limited to keyword spotting or a fixed list of commands. We present Oído, an inference engine that runs open-vocabulary English speech recognition entirely on an ESP32-S3 (24…

There is a bug in these six lines. Find it before you scroll. `def get_discount(price, user): ...

Compression schemes provide a general framework for deriving data-dependent risk bounds for learning algorithms. For learning rules based on preferent compression, existing results upper-bound the risk in terms of a sample-dependent comple…

Have you ever wanted to upload your college notes and simply ask an AI, “Explain Unit 3” or “What is...

Recent accent classification systems can achieve high accuracy in standard in-corpus evaluations. However, when speakers overlap between the training and test sets, such results may overestimate model robustness compared with real-world de…

Collective Autonomous Vehicle (AV) route choices in real-world traffic networks can create externalities for Human-Driven Vehicles (HDVs), as routes that benefit AVs may increase travel times for other road users. To address this, we intro…

Reinforcement learning (RL) has emerged as a key paradigm for improving large language model (LLM) agents, enabling stronger reasoning, planning, and tool-use in interactive environments. However, existing agent RL methods remain fundament…

I built an MCP server so AI agents can find and query our company data. Most of my time did not go...

If you run an LLM-backed endpoint (a support bot, a docs assistant, a "chat with your data" feature),...

At a glance Problem: Let a coding agent run, tap through and profile a React Native app by...

I'm Alina, Head of Web Applications at EXANTE. I'm responsible for the technical strategy of our web...

This is a submission for the Kaggle Benchmarking Challenge What I Benchmarked Every...

Three AI API changes from the last two weeks that quietly break shipped code: Claude Haiku 5.5 migration 400s, Managed Agents web_fetch gating, and the GPT-6 plan split.

How I built memory for my desktop AI companion: every memory must quote the...

The last piece ended with a correction. On the HTTP path of aine-control-plane, the field I had...

Building an AI technical interviewer presents a unique physics problem. When a human engineer pauses...

Build an admin table of your blogs, then turn each post into Instagram carousels using Google Nano Banana images via OpenRouter, AI HTML slides, or an AI React code generator.

Build an open-source, OTel-compliant LLM reverse proxy to capture micro-cent token costs and trace inference to Tempo, ClickHouse, or Jaeger