Provide.ai https://validator.w3.org/feed/docs/rss2.html “2026 is the New 2016” — Why Everyone Is Living in the Past Again DAY 3 Prime Spiral Cosmology and the 24-Dimensional Leech Lattice A Dual-Universe Model via Modular… The Digital Ouija Effect – Emergent Behavior in AI Models Why AI Needs a Sense of Smell Google Told to Share Search Data with AI Rivals in EU Proposal Two weeks with Claude Code. Here’s the unvarnished version. Claude Opus 4.7 — Everything New, Every Benchmark, and What It Means for Developers I Vibe Coded and I’m Not Sorry!! How People Are Getting Paid to Train AI in 2026 LTX 2.3 vs Wan2.1 vs CogVideoX: Which Open-Source Video Model Should You Use in 2026? Bayesian Optimization with Gaussian Processes to Accelerate Stationary Point Searches Identifying Information from Observations with Uncertainty and Novelty Gating Enables Curvature: A Geometric Expressivity Gap in Attention Theta-regularized Kriging: Modelling and Algorithms Conformal Policy Control CLion: Efficient Cautious Lion Optimizer with Enhanced Generalization Amortized Optimal Transport from Sliced Potentials Robust Exploratory Stopping under Ambiguity in Reinforcement Learning Unsupervised feature selection using Bayesian Tucker decomposition MinShap: A Modified Shapley Value Approach for Feature Selection Best of both worlds: Stochastic & adversarial best-arm identification Scalable Model-Based Clustering with Sequential Monte Carlo Expert-Guided Class-Conditional Goodness-of-Fit Scores for Interpretable Classification with Informative Missingness: An Application to Seismic Monitoring Towards AI-assisted Neutrino Flavor Theory Design Structural interpretability in SVMs with truncated orthogonal polynomial kernels Causal Decomposition Analysis with Synergistic Interventions: A Triply-Robust Machine Learning Approach to Addressing Multiple Dimensions of Social Disparities The Devil Is in Gradient Entanglement: Energy-Aware Gradient Coordinator for Robust Generalized Category Discovery Continuous-time reinforcement learning: ellipticity enables model-free value function approximation Cellwise Outliers Differentially Private Conformal Prediction Portfolio Optimization Proxies under Label Scarcity and Regime Shifts via Bayesian and Deterministic Students under Semi-Supervised Sandwich Training Zeroth-Order Optimization at the Edge of Stability Towards Verified and Targeted Explanations through Formal Methods Multi-User mmWave Beam and Rate Adaptation via Combinatorial Satisficing Bandits Interpretable and Explainable Surrogate Modeling for Simulations: A State-of-the-Art Survey and Perspectives on Explainable AI for Decision-Making Random Matrix Theory for Deep Learning: Beyond Eigenvalues of Linear Models Metric-Aware Principal Component Analysis (MAPCA):A Unified Framework for Scale-Invariant Representation Learning Kinetic Interacting Particle Langevin Monte Carlo Heat and Mat\’ern Kernels on Matchings Practical estimation of the optimal classification error with soft labels and calibration Path-Sampled Integrated Gradients Diagnosing and Improving Diffusion Models by Estimating the Optimal Loss Value Tight Sample Complexity Bounds for Best-Arm Identification Under Bounded Systematic Bias Factor-Based Conditional Diffusion Model for Contextual Portfolio Optimization Early-stopped aggregation: Adaptive inference with computational efficiency Active Learning with Selective Time-Step Acquisition for PDEs Improving Machine Learning Performance with Synthetic Augmentation Dense Neural Networks are not Universal Approximators Generative Augmented Inference