AI Intelligence Archive

A few years ago, building with AI usually meant one thing: send some data to a model, get a...

A regional sales manager and a sales rep both ask the same Foundry agent the exact same question:...

This paper examines the role of Novel View Synthesis (NVS) in geometric representation learning. In principle, NVS should reason about 3D scene structure, thereby enabling transferable multi-view geometric representations. Yet, existing en…

We introduce 4DCodeBench, a benchmark for 4D inverse graphics through code generation, in which agents reconstruct dynamic scenes from video as executable graphics programs. To accomplish this, agents must translate visual observations int…

Continual learning treats degradation on previously seen data as evidence of failure, a convention inherited from settings with a stationary prediction target, where a correct label remains correct indefinitely. World models do not satisfy…

Ribonucleic acid (RNA) functions through conformational changes that are not fully captured by static structures. However, large-scale standardized RNA dynamics data remain limited, and existing approaches typically treat trajectory genera…

Inspired by human vision, we introduce a framework using active gaze to enable fine-grained bimanual manipulation with only a single stereo camera. EyeRobot 2.0 physically attends to a 3D fixation point in the scene by swiveling two eye vi…

We study the minimization of sums of smooth strongly convex functions over undirected graphs, with each function held by one agent and communication restricted to neighbors in the graph. Existing decentralized methods, whether based on gos…

The choice of post-training data for large language models substantially affects downstream performance. Gradient-based data selection is a popular approach that ranks training data by how well their gradients align with those of a small v…

Modern chess engines are silent experts: they play at a superhuman level, but do not offer explanations for their play. On the other hand, language models (LMs) can generate plausible-sounding explanations, but their weak playing strength …

Scarcity of labeled data limits development of deep learning biomarkers in oncology. We develop a two-stage AI model predicting pathological complete response (pCR) to neoadjuvant therapy in breast cancer. The first stage learns the transc…

Why I did this I created SnoozeStack — a backend platform with a specific bet: most...

The dynamics of cells, organisms, and fluids are often modeled as probability distributions evolving over time. Reconstructing and extrapolating this evolution from unpaired snapshots requires assumptions about the underlying process. Wass…

Microsoft has expanded distribution of its MAI voice models to OpenRouter, adding a cross-platform...

LLM-guided evolutionary methods, such as AlphaEvolve, have emerged as powerful approaches for challenging computational optimization problems, such as circle packing. However, prior work typically optimizes performance gain over a fixed nu…

In July I wrote that agents need governed memory: memory with its own lifecycle that decays, gets...

You tell Claude Code that you deploy only from the release branch. An hour later you open Cursor, ask...

Policy-gradient methods are central to modern reinforcement learning, including LLM post-training. When they struggle, the usual suspects are exploration, credit assignment and action-sampling noise. Classification has none of them. A clas…

Masked diffusion language models (dLMs) offer a promising parallel alternative to autoregressive models for complex reasoning. However, they face a distinct credit-assignment challenge, since a few commitments during denoising sharply redu…

Deploying a new decision policy creates a cold-start problem for prediction models whose targets depend on the policy's actions: historical observations reflect earlier policies, while real observations under the new policy are not yet ava…

Multi-pitch estimation in vocal ensembles is challenging because singers occupy overlapping pitch ranges and often sing at closely spaced fundamental frequencies, causing their harmonics to overlap in time-frequency representations. Existi…

Dense-retrieval services must switch among embedding-prefix dimensions and index bit rates as latency, quality, and memory budgets change. Tuning a quantizer separately for each rate gives the best quality, but the retrieval tier then hold…

Federated Learning (FL) is a privacy-oriented learning paradigm that enables collaborative model training while keeping training data local to participating clients. However, it does not guarantee that clients submit policy-compliant contr…

Marine ecosystems are impacted by various threats such as oil spills, algal blooms, and sediment floods, which disrupt habitats, wildlife, and human activities. Advances in satellite imagery and Artificial Intelligence (AI) have enhanced o…

Many machine learning methods aim to approximate the lower-dimensional manifold on which the data lives. A desirable feature of such methods is that they should capture the epistemic uncertainty of this learned manifold. One model that ach…

Stationarity rewards memory, but after a change the same history can mislead. We ask when forgetting should be permitted. E-process-authorized Thompson sampling (e-ATS) gives each arm full-history and discounted Beta states. An anytime-val…

A library release can preserve every exported TypeScript type and still change what users...

Como rastrear trajetórias de agentes de IA com OpenTelemetry GenAI 2.0, detectar loops infinitos em tempo real e aplicar self-healing em produção.

Pick a detector, run it over some benign traffic, and choose a threshold. Usually the threshold is an...

Written for: developers who built something real with Lovable, Bolt or v0 and are now being asked to...

Building an AI Keyboard for iOS: What They Don't Tell You About Keyboard...

Model size, quant and context in — weights, KV cache and a per-card verdict out. The GGUF VRAM calculator answers will-it-fit before the download starts.

In July 2025, METR published a study that nobody in a boardroom wanted to read. They took 16...

Why retrieval speculative decoding falls flat in agent pipelines, and how indexing files in emission format gives a 4.7x throughput boost without a draft model.

Dear Coder: Open This If You're Feeling AI FOMO Timeless fundamentals beat endless...

Textbook: The Anatomy of an Agent and Five Waves of Evolution Source version of...

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Day 2 of 30 Days of Search for AI Agents. I want a research agent to give me something I can check....

This is a submission for the Kaggle Benchmarking Challenge I fed 15 AI models a growing pile of...