AI News Archive: May 21, 2026 — Part 20
Sourced from 500+ daily AI sources, scored by relevance.
- Integrable Elasticity via Neural Demand Potentials
We propose the Integrable Context-Dependent Demand Network (ICDN), a demand-first neural model for multiproduct retail demand. The model learns log-demand as a smooth, context-conditioned function of log-prices, allowing elasticities to be derived exactly from the learned demand surface. On the Domi...
- MOSS: Self-Evolution through Source-Level Rewriting in Autonomous Agent Systems
Autonomous agentic systems are largely static after deployment: they do not learn from user interactions, and recurring failures persist until the next human-driven update ships a fix. Self-evolving agents have emerged in response, but all confine evolution to text-mutable artifacts -- skill files, ...
- FAME: Failure-Aware Mixture-of-Experts for Message-Level Log Anomaly Detection
Production systems generate millions of log lines daily, yet most anomaly detectors operate at the session or window-level, flagging groups of lines rather than identifying the specific message responsible. This coarse granularity forces operators to inspect many routine lines per alert. Message-lev...
- SDPM: Survival Diffusion Probabilistic Model for Continuous-Time Survival Analysis
Survival analysis aims to estimate a time-to-event distribution from data with censored observations. Many existing methods either impose structural assumptions on the hazard function or discretize the time axis, which may limit flexibility and introduce approximation errors. We propose the Survival...
- MambaGaze: Bidirectional Mamba with Explicit Missing Data Modeling for Cognitive Load Assessment from Eye-Gaze Tracking Data
Real-time cognitive load assessment from eye-tracking signals could potentially enable adaptive human-centered-AI such as safety-critical applications such as driver vigilance monitoring or automated flight deck assistance, yet two challenges persist: handling frequent data missingness from blinks a...
- CogAdapt: Transferring Clinical ECG Foundation Models to Wearable Cognitive Load Assessment via Lead Adaptation
Real-time cognitive load assessment is essential for adaptive human-computer interaction but remains challenging due to limited labeled data and poor cross-subject generalization. Recent ECG foundation models pre-trained on millions of clinical recordings offer rich representations, but cannot be di...
- Uniform Diffusion Models Revisited: Leave-One-Out Denoiser and Absorbing State Reformulation
Discrete diffusion models are often trained through clean-data prediction, but the prediction can be used in different ways to define the reverse dynamics. In Masked Diffusion Models (MDM) these choices largely coincide, whereas in Uniform Diffusion Models (UDM) they do not. We show that the standar...
- The Distillation Game: Adaptive Attacks & Efficient Defenses
Distillation attacks create a deployment trade-off for model providers: the same outputs that make a model more useful can also make it easier to imitate. We study this trade-off through a minimax game between a utility-constrained teacher and an adaptive student. Our framework yields tractable one-...
- Multiple Neural Operators Achieve Near-Optimal Rates for Multi-Task Learning
We study the approximation and statistical complexity of learning collections of operators in a shared multi-task setting, with a focus on the Multiple Neural Operators (MNO) architecture. For broad classes of Lipschitz multiple operator maps, we derive near-optimal upper bounds for approximation an...
- The Value of Covariance Matching in Gaussian DDPMs and the Lanczos Sampler
A central error measure in Gaussian DDPMs is the path-space KL divergence between the exact reverse chain and the learned Gaussian reverse process. This quantity is especially relevant for procedures such as classifier guidance, which perturb the entire reverse trajectory rather than only the termin...
- Posterior Collapse as Automatic Spectral Pruning
We show that posterior collapse in $β$-VAEs implements automatic spectral pruning. A latent mode collapses if its contribution to reconstruction is below the cutoff set by $β$. Equilibrium solutions with different $β$ thus reveal a cascade of collapses as latent modes decouple from least to most use...
- UNAD+: An Explainable Hybrid Framework for Unknown Network Attack Detection
The detection of previously unseen network attacks remains a major challenge for intrusion detection systems. Although supervised learning methods often perform well on known attack classes, they are limited when new attack types are not represented in the training data. Unsupervised methods are mor...
- MoSA: Motion-constrained Stress Adaptation for Mitigating Real-to-Sim Gap in Continuum Dynamics via Learning Residual Anisotropy
Learning real-world dynamics from visual observations is crucial for various domains. A common strategy is to calibrate simulators by estimating physical parameters, yet accuracy is ultimately bounded by the underlying physical models, which often assume materials are homogeneous and isotropic. Even...
- Factored Diffusion Policies:Compositionally Generalized Robot Control with a Single Score Network
Robotic tasks are typically specified by a tuple of factors, such as the object to be grasped, the obstacles to be avoided, the color of the target, and so on. Collecting expert demonstrations for every combination of factor values grows combinatorially. We present factored diffusion policies: a sin...
- Tycoon AI
Run one-person companies entirely with AI agents
- AutoSubtitles 2.0
AI subtitles & animated captions with faster editing
- App Store Operator
The App Store MCP for developers who never leave Claude
- PlatformPilot
Give your company a brain that evolves and acts.
- libraryai
Don’t read books alone
- Stable Audio 3.0
Generative audio model family for full compositions
- ResearchOS
AI-native end-to-end market research
- Super Benji
AI outbound that builds real conversations
- BotWork
AI Agent Freelance Network
- SirDash.ai
Ask your data anything. Get answers, not tickets.
- VIDI
AI contract risk analysis before you sign
- Vevos AI
From Weeks to Minutes, Automate Any Business Process.
- Fairlx • Open Source AI-Powered PM Tool
Open-source project management with AI & GitHub integration.
- projectmem
Memory + judgment for AI coding agents (local, MIT)
- What To Watch
Track, sync & discover movies and shows with AI.
- Orca AI
Send a message to control your entire phone.
- IceSume
Your entire job search, handled by AI
- Startr
Co-founder matching. AI proves the fit.
- ZipTier
AI Lead Capture for B2B Websites, Webinars, and Events
- RankerAI
Made This Because Your Blog Deserves Page 1
- SEOReport
Free Agent-First AI SEO, Performance & Security Audit Report
- SmartWalt
AI expense tracker & financial coach.
- PaperTrace
Your AI copilot for scientific research
- GitHub
Stop losing data science context. Build knowledge graphs.
- Aicoo
The contact book for claude code
- HeyBond.ai
Next Gen Customer sucess AI Agent
- Lesto.me
Sell used stuff locally — AI pricing, escrow safety
- Persey
AI that sparks new ideas from your inspirations.
- Murmure by Cyberesia Inc.
Private AI Transcription Assistant for Regulated Industries
- Agentsflix
Autonomous AI Agent Orchestration Platform
- Resonance
An AI Voice Generation Platform
- LightYou
A native read-later app with AI, SRS, and WebDAV sync
- Illustrious XL
Illustrious XL - High-Resolution Anime-Style AI Generation
- SpeakSharp
AI speech coach providing feedback on delivery, content, etc
- FastFlow
AI fasting coach with streaks, widgets and HealthKit sync
- Parlio —Turn your sentences into lang.
Learn real-life expressions, not just words