AI News Archive: May 14, 2026 — Part 18
Sourced from 500+ daily AI sources, scored by relevance.
- In-Context Learning for Data-Driven Censored Inventory Control
We study inventory control with decision-dependent censoring, focusing on the censored or repeated newsvendor (R-NV), where each order quantity determines whether demand is fully observed or censored by sales. Existing approaches based on parametric Thompson sampling (TS) can be brittle under prior ...
- Optimal Asymptotic Rates for (Stochastic) Gradient Descent under the Local PL-Condition: A Geometric Approach
Stochastic gradient descent (SGD) has been studied extensively over the past decades due to its simplicity and broad applicability in machine learning. In this work, we analyze the local behavior of gradient descent and stochastic gradient descent for minimizing $C^2$-functions that satisfy the Poly...
- Fast Rates for Inverse Reinforcement Learning
We establish novel structural and statistical results for entropy-regularized min-max inverse reinforcement learning (Min-Max-IRL) with linear reward classes in finite-horizon MDPs with Borel state and action spaces. On the structural side, we show that maximum likelihood estimation (MLE) and Min-Ma...
- Nearest-Neighbor Radii under Dependent Sampling
Nearest-neighbor methods are fundamental to classical and modern machine learning, yet their geometric properties are typically analyzed under independent sampling. In this paper, we study the nearest-neighbor radii under dependent sampling. We consider strong mixing dependent observations and ask w...
- Policy Optimization in Hybrid Discrete-Continuous Action Spaces via Mixed Gradients
We study reinforcement learning in hybrid discrete-continuous action spaces, such as settings where the discrete component selects a regime (or index) and the continuous component optimizes within it -- a structure common in robotics, control, and operations problems. Standard model-free policy grad...
- Training-Free Generative Sampling via Moment-Matched Score Smoothing
Diffusion models generate samples by denoising along the score of a perturbed target distribution. In practice, one trains a neural diffusion model, which is computationally expensive. Recent work suggests that score matching implicitly smooths the empirical score, and that this smoothing bias promo...
- Language-Induced Priors for Domain Adaptation
Domain adaptation faces a fundamental paradox in the cold-start regime. When target data is scarce, statistical methods fail to distinguish relevant source domains from irrelevant ones, which often leads to negative transfer. In this paper, we address this challenge by leveraging expert textual desc...
- TILT: Target-induced loss tilting under covariate shift
We introduce and analyze Target-Induced Loss Tilting (TILT) for unsupervised domain adaptation under covariate shift. It is based on a novel objective function that decomposes the source predictor as $f+b$, fits $f+b$ on labeled source data while simultaneously penalizing the auxiliary component $b$...
- Teaching Vision-Language Models to Speak Cinema
Teaching Vision-Language Models to Speak Cinema Carnegie Mellon University
📄 ResearchMay 14, 2026https://blog.ml.cmu.edu/2026/05/13/teaching-vision-language-models-to-speak-cinema/ - Spellar 3.0
AI Meeting companion with cross-meeting memory
- Naptick AI
Al sleep companion that helps fall asleep without struggle
- Tendem by Toloka
AI platform to hand off any task to a human expert
- Raindrop Workshop
Open source, free, local debugger for AI agents
- Asteroid
Build Browser, Linux and Windows AI agents in seconds
- Fei Design Mode
Directly edit and tweak UI pixels live with AI agents
- Openclaw OS
Turn one-off chats into persistent, usable apps
- Pressmaster.ai
Thought leadership AI for founders and teams
- Open Browser Use
Open-source browser automation for local AI agents
- RoBrain
Shared AI memory that stops agents from repeating mistakes
- Storecraft
Rapidly build AI-powered, Headless e-commerce backends
- Zeely AI
AI ad maker for UGC videos and static ads
- MobileCLI
Remote AI Terminal Control
- Arusto
AI course builder for learning teams
- HackerPulse
Measures AI impact across engineering teams
- Contents.com
Enterprise platform for AI content operations
- SUN
AI audio courses and book summaries on demand
- TabSense
AI POS and ordering suite for restaurants
- GreenFi Ai
ESG risk and compliance software for finance
- Quietly
Offline AI IDE & local Chat
- transfa.sh
WeTransfer for AI agents
- Stagent
Drive Claude Code through long tasks it would otherwise drop
- Slop Goggles
Detect AI-generated comments and posts on Reddit
- Crystal
Identify rocks, crystals & gemstones instantly with AI
- Ace
The complete AI toolkit for interviews and sales calls
- The Augmented AI
Real-time AI insights for meetings without interruptions
- Chronicle
Create your personal memex through voice for total recall
- Agent FM for Claude Code & Codex
Tune in and stay in the loop with your agents 🎧
- LineageLens
AI wrote it. LineageLens proves it.
- Pianify
Build piano habits anywhere via gamification & AI feedback
- RAST — Partnership Network for AI & SaaS
Monthly partnership intros for AI & SaaS tools
- Sushidata
APIs for swarms of agents that compound data and save tokens
- GEO Checker
Score your content for AI citation potential in 60 seconds
- Zenode
Find replacements for electronic components on PCBs using AI
- webslinger.ai
Demonstate any web task once. Happily automate ever after.
- Neuralens
Neuralens scans your website and tells you what to improve.
- CiteFlow
Free AEO/GEO Scan: How AI Search Sees Your Site
- ClearHandoff
AI drawing review for mechanical engineers
- Persyn.ai
One AI identity. Infinite content.
- SmartX for customer success
Your AI key. Our platform. $66 a month.
- cookiedclaw
What if OpenClaw and Claude Code had a baby