AI News

Town of Amherst Under Mandatory Water Conservation Due to Ongoing Drought - KEYC (www.keyc.com)

Microsoft AI Releases MAI-Transcribe-2-Streaming: #1 Real-Time Speech-to-Text Model on Artificial Analysis (www.marktechpost.com)

Klook Promo Code: 25% Off October 2026 (www.wired.com)

An Update on Orion for Linux and Windows (blog.kagi.com)

Maloy, Udell offer competing visions for Utah's sprawling new 3rd District in St. George debate (www.deseret.com)

Town of Amherst Under Mandatory Water Conservation Due to Ongoing Drought - WFIE (www.14news.com)

Town of Amherst Under Mandatory Water Conservation Due to Ongoing Drought - WBRC (www.wbrc.com)

Diving deep on water resilience during NYC Climate Week | RBCCM (www.rbccm.com)

Context-Aware Error Mitigation Orchestration for Hybrid Quantum Reinforcement Learning on NISQ Systems (arxiv.org)

Mixture-Trained Merging for Unified Multi-Objective Models (arxiv.org)

dattri-LLM: A Unified and Efficient Library for Training Data Attribution at LLM Scale (arxiv.org)

Alignment via Training Against Probes Without Losing Monitorability (arxiv.org)

Sharp Non-Asymptotic Analysis of the Penalized Challenger in $\beta$-EB-TCI for Bernoulli Bandits (arxiv.org)

Diffusion Policy Improvement with Proposal-Conditioned Refinement Flows (arxiv.org)

Unifying Distributional Training for One-Step Visual Generation (arxiv.org)

Output-aware Residual Stream Pruning for Large Language Models (arxiv.org)

The Curvature of Regret in Contextual Linear Optimization (arxiv.org)

DOHF: Online Diffusion Fine-tuning with Doob's $h$-transform Guidance (arxiv.org)

TANGO: Treating Tokens as Operators (arxiv.org)

Information propagation dynamics in Deep Graph Networks (arxiv.org)

Latent JEPA: Abstract Future Prediction for Latent Reasoning in Chemistry (arxiv.org)

Early Learning Shapes Later Directions Of Representation Change In Continual Learning (arxiv.org)

Low-Budget Active Learning through Entropic Optimal Transport (arxiv.org)

Counterfactual Generation via Flow Matching: Coupling-Sensitive End-to-End Rates (arxiv.org)

Fully Online Decentralized Learning in Stochastic Games with Unknown Independent Chains (arxiv.org)

Rethinking the Information Bottleneck: Structured Decomposition under Label-Induced Partitions (arxiv.org)

Evasion Attacks: How Adversarial Noise Bypasses ML Classifiers (arxiv.org)

CAGE-NAS: Certified Functional Descent for Efficient Model Growth (arxiv.org)

Learning Rate Transfer for Hybrid Transformer-SSM Architectures (arxiv.org)

Detect, Explain, Interpret: An End-to-End Benchmark for Time Series Anomaly Detection, Explainability and Interpretability (arxiv.org)

Persistent Depth Ordering amid Shifting Block-Bypass Responses in Language Model Pretraining (arxiv.org)

Parameter-Efficient Distributionally Robust Adaptation of Tabular Foundation Models under Subpopulation Shift (arxiv.org)

Does Scaling Reinforcement Learning Really Require More Training? (arxiv.org)

Graph Representation via Elements of Discrete Morse and Cobordism Theories (arxiv.org)

Latent Information Sharing for Accelerating Federated Learning (arxiv.org)

How Much Can Language Models Gain from Test-Time Computation? (arxiv.org)

Dataset Identity, Not Novelty: The Source of an Inflated OOD Detection Gain (arxiv.org)

GLoC-EHR: Evidence-Cited Clinical Reasoning over Global Context and Local EHR Events (arxiv.org)

Kernelized Activation Steering (arxiv.org)

SLIM: Simplex-Lattice Interpolation Merging (arxiv.org)

Optimal Transport Reweighting for Robust Learning under Spurious Correlations and Label Noise (arxiv.org)

Reliability-aware short-term roll prediction for unmanned surface vehicles via multi-task learning and adaptive centralization (arxiv.org)

Auditable Algebraic Counting Field for Cryptic-Pocket Detection from Apo Structures (arxiv.org)

Learning to Predict Distributions over Weight Updates for Test-Time Adaptation (arxiv.org)

Neural scaling laws and evolution of learnable activation functions of Kolmogorov-Arnold networks (arxiv.org)

HADRec: A Hierarchy-Aware Drug Recommendation Framework by Fusing Molecular Knowledge and Electronic Health Record (arxiv.org)

Generalist Representation, Specialist Detection: TS-Router for Time-Series Anomaly Detection (arxiv.org)

Variational Streaming Flow: Probabilistic Forecasting in Physical Time (arxiv.org)

Structure-agnostic Causal Representation Learning (arxiv.org)

GUI-HARVEST: Self-Improving GUI Agents through Evidence-Driven Harness Evolution (arxiv.org)