Provide.ai https://validator.w3.org/feed/docs/rss2.html Data Cleaning & Exploratory Data Analysis Attention With Actual Numbers From Notebook to Production: Running ML in the Real World (Part 4) Why a 95% Accurate Model Can Still Be Wrong (Part 3) How Bifrost’s MCP Gateway Cuts AI Agent Token Costs by 92% Without Sacrificing Capability Karpathy Stopped Writing Code 4 Months Ago — His 3 New AI Projects Are More Important I Built an RL Benchmark for API Contract Debugging in One Friday Evening Context Engineering is the New Prompt Engineering Yes, Your AI Product Hallucinates. No, the Model Is Not the Only Reason. Every AI Agent Architecture in One Place Characterizing Human Semantic Navigation in Concept Production as Trajectories in Embedding Space Causal Fingerprints of AI Generative Models Evolution of Optimization Methods: Algorithms, Scenarios, and Evaluations ELoG-GS: Dual-Branch Gaussian Splatting with Luminance-Guided Enhancement for Extreme Low-light 3D Reconstruction Identifying and Mitigating Gender Cues in Academic Recommendation Letters: An Interpretability Case Study Task Alignment: A simple and effective proxy for model merging in computer vision ResBM: Residual Bottleneck Models for Low-Bandwidth Pipeline Parallelism IMU: Influence-guided Machine Unlearning CamReasoner: Reinforcing Camera Movement Understanding via Structured Spatial Reasoning ParetoBandit: Budget-Paced Adaptive Routing for Non-Stationary LLM Serving Pictorial and apictorial polygonal jigsaw puzzles from arbitrary number of crossing cuts Bootstrapping Video Semantic Segmentation Model via Distillation-assisted Test-Time Adaptation GTPBD-MM: A Global Terraced Parcel and Boundary Dataset with Multi-Modality LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines EvoNash-MARL: A Closed-Loop Multi-Agent Reinforcement Learning Framework for Medium-Horizon Equity Allocation PrivEraserVerify: Efficient, Private, and Verifiable Federated Unlearning Spatial-Spectral Adaptive Fidelity and Noise Prior Reduction Guided Hyperspectral Image Denoising Physics and causally constrained discrete-time neural models of turbulent dynamical systems Ultra-low-light computer vision using trained photon correlations Subspace-Guided Feature Reconstruction for Unsupervised Anomaly Localization TeRA: Vector-based Random Tensor Network for High-Rank Adaptation of Large Language Models Direct Discrepancy Replay: Distribution-Discrepancy Condensation and Manifold-Consistent Replay for Continual Face Forgery Detection SinkSAM-Net: Knowledge-Driven Self-Supervised Sinkhole Segmentation Using Topographic Priors and Segment Anything Model Active Imitation Learning for Thermal- and Kernel-Aware LFM Inference on 3D S-NUCA Many-Cores GeoPAS: Geometric Probing for Algorithm Selection in Continuous Black-Box Optimisation OmniHands: Towards Robust 4D Hand Mesh Recovery via A Versatile Transformer Lightweight Low-Light Image Enhancement via Distribution-Normalizing Preprocessing and Depthwise U-Net Cell Instance Segmentation via Multi-Task Image-to-Image Schr\”odinger Bridge TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning SpecBound: Adaptive Bounded Self-Speculation with Layer-wise Confidence Calibration Evaluating Differential Privacy Against Membership Inference in Federated Learning: Insights from the NIST Genomics Red Team Challenge Fall Risk and Gait Analysis in Community-Dwelling Older Adults using World-Spaced 3D Human Mesh Recovery Retrievals Can Be Detrimental: Unveiling the Backdoor Vulnerability of Retrieval-Augmented Diffusion Models Efficient Semantic Image Communication for Traffic Monitoring at the Edge Distorted or Fabricated? A Survey on Hallucination in Video LLMs Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models Learning to accelerate distributed ADMM using graph neural networks [b]=[d]-[t]+[p]: Self-supervised Speech Models Discover Phonological Vector Arithmetic INDOTABVQA: A Benchmark for Cross-Lingual Table Understanding in Bahasa Indonesia Documents The Linear Centroids Hypothesis: How Deep Network Features Represent Data