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			<title>The Logic of Uncertainty: How Bayesian Networks Power AI Reasoning</title>
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			<title>Gag Orders, NDAs, and Consciousness</title>
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			<title>Hailuo AI Review 2026: Is It Worth Using for Fast Text-to-Video Experiments?</title>
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			<title>Risk Disclosure Done Right</title>
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			<guid><![CDATA[https://provide.ai/bad-bots-make-up-40-of-internet-traffic/]]></guid>
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			<title>Bad bots make up 40% of internet traffic</title>
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			<title>The Unmarked Medium: Why Text Lost Its Right to Stand for Thought</title>
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			<title>Cursor Introduces a TypeScript SDK for Building Programmatic Coding Agents With Sandboxed Cloud VMs, Subagents, Hooks, and Token-Based Pricing</title>
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			<guid><![CDATA[https://provide.ai/jpmc-mlcoe-nlp-scientist-interview-experience-4-rounds-totaln/]]></guid>
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			<title>Talent or Luck? Evaluating Attribution Bias in Large Language Models</title>
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			<title>Vertex Features for Neural Global Illumination</title>
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			<guid><![CDATA[https://provide.ai/uncertainty-aware-information-pursuit-for-interpretable-and-reliable-medical-image-analysis/]]></guid>
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			<title>Uncertainty-Aware Information Pursuit for Interpretable and Reliable Medical Image Analysis</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/the-hidden-risks-of-temporal-resampling-in-clinical-reinforcement-learning/]]></guid>
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			<title>The hidden risks of temporal resampling in clinical reinforcement learning</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/multimodal-llms-are-not-all-you-need-for-pediatric-speech-language-pathology/]]></guid>
			<link><![CDATA[https://provide.ai/multimodal-llms-are-not-all-you-need-for-pediatric-speech-language-pathology/]]></link>
			<title>Multimodal LLMs are not all you need for Pediatric Speech Language Pathology</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/fruitprom-v2-robust-probabilistic-maturity-estimation-and-detection-of-fruits-and-vegetables/]]></guid>
			<link><![CDATA[https://provide.ai/fruitprom-v2-robust-probabilistic-maturity-estimation-and-detection-of-fruits-and-vegetables/]]></link>
			<title>FruitProM-V2: Robust Probabilistic Maturity Estimation and Detection of Fruits and Vegetables</title>
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			<guid><![CDATA[https://provide.ai/cross-domain-transfer-of-hyperspectral-foundation-models/]]></guid>
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			<title>Cross-Domain Transfer of Hyperspectral Foundation Models</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/cheeger-hodge-contrastive-learning-for-structurally-robust-graph-representation-learning/]]></guid>
			<link><![CDATA[https://provide.ai/cheeger-hodge-contrastive-learning-for-structurally-robust-graph-representation-learning/]]></link>
			<title>Cheeger&#8211;Hodge Contrastive Learning for Structurally Robust Graph Representation Learning</title>
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			<guid><![CDATA[https://provide.ai/decide-less-communicate-more-on-the-construct-validity-of-end-to-end-fact-checking-in-medicine/]]></guid>
			<link><![CDATA[https://provide.ai/decide-less-communicate-more-on-the-construct-validity-of-end-to-end-fact-checking-in-medicine/]]></link>
			<title>Decide less, communicate more: On the construct validity of end-to-end fact-checking in medicine</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/momentum-conserving-graph-neural-networks-for-deformable-objects/]]></guid>
			<link><![CDATA[https://provide.ai/momentum-conserving-graph-neural-networks-for-deformable-objects/]]></link>
			<title>Momentum-Conserving Graph Neural Networks for Deformable Objects</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/featurising-pixels-from-dynamic-3d-scenes-with-linear-in-context-learners/]]></guid>
			<link><![CDATA[https://provide.ai/featurising-pixels-from-dynamic-3d-scenes-with-linear-in-context-learners/]]></link>
			<title>Featurising Pixels from Dynamic 3D Scenes with Linear In-Context Learners</title>
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			<guid><![CDATA[https://provide.ai/translating-under-pressure-domain-aware-llms-for-crisis-communication/]]></guid>
			<link><![CDATA[https://provide.ai/translating-under-pressure-domain-aware-llms-for-crisis-communication/]]></link>
			<title>Translating Under Pressure: Domain-Aware LLMs for Crisis Communication</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/emergent-coordination-in-multi-agent-language-models/]]></guid>
			<link><![CDATA[https://provide.ai/emergent-coordination-in-multi-agent-language-models/]]></link>
			<title>Emergent Coordination in Multi-Agent Language Models</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/alphajet-automated-conceptual-aircraft-synthesis-via-disentangled-generative-priors-and-topology-preserving-evolutionary-search/]]></guid>
			<link><![CDATA[https://provide.ai/alphajet-automated-conceptual-aircraft-synthesis-via-disentangled-generative-priors-and-topology-preserving-evolutionary-search/]]></link>
			<title>AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/beyond-the-leaderboard-rethinking-medical-benchmarks-for-large-language-models/]]></guid>
			<link><![CDATA[https://provide.ai/beyond-the-leaderboard-rethinking-medical-benchmarks-for-large-language-models/]]></link>
			<title>Beyond the Leaderboard: Rethinking Medical Benchmarks for Large Language Models</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/amma-a-multi-chiplet-memory-centric-architecture-for-low-latency-1m-context-attention-serving/]]></guid>
			<link><![CDATA[https://provide.ai/amma-a-multi-chiplet-memory-centric-architecture-for-low-latency-1m-context-attention-serving/]]></link>
			<title>AMMA: A Multi-Chiplet Memory-Centric Architecture for Low-Latency 1M Context Attention Serving</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/robust-alignment-harmonizing-clean-accuracy-and-adversarial-robustness-in-adversarial-training/]]></guid>
			<link><![CDATA[https://provide.ai/robust-alignment-harmonizing-clean-accuracy-and-adversarial-robustness-in-adversarial-training/]]></link>
			<title>Robust Alignment: Harmonizing Clean Accuracy and Adversarial Robustness in Adversarial Training</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/zero-shot-to-full-resource-cross-lingual-transfer-strategies-for-aspect-based-sentiment-analysis/]]></guid>
			<link><![CDATA[https://provide.ai/zero-shot-to-full-resource-cross-lingual-transfer-strategies-for-aspect-based-sentiment-analysis/]]></link>
			<title>Zero-Shot to Full-Resource: Cross-lingual Transfer Strategies for Aspect-Based Sentiment Analysis</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/evodev-an-iterative-feature-driven-framework-for-end-to-end-software-development-with-llm-based-agents/]]></guid>
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			<title>EvoDev: An Iterative Feature-Driven Framework for End-to-End Software Development with LLM-based Agents</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/towards-redundancy-reduction-in-diffusion-models-for-efficient-video-super-resolution/]]></guid>
			<link><![CDATA[https://provide.ai/towards-redundancy-reduction-in-diffusion-models-for-efficient-video-super-resolution/]]></link>
			<title>Towards Redundancy Reduction in Diffusion Models for Efficient Video Super-Resolution</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/adaptive-and-fine-grained-module-wise-expert-pruning-for-efficient-lora-moe-fine-tuning/]]></guid>
			<link><![CDATA[https://provide.ai/adaptive-and-fine-grained-module-wise-expert-pruning-for-efficient-lora-moe-fine-tuning/]]></link>
			<title>Adaptive and Fine-grained Module-wise Expert Pruning for Efficient LoRA-MoE Fine-Tuning</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/heterogeneous-adaptive-policy-optimization-tailoring-optimization-to-every-tokens-nature/]]></guid>
			<link><![CDATA[https://provide.ai/heterogeneous-adaptive-policy-optimization-tailoring-optimization-to-every-tokens-nature/]]></link>
			<title>Heterogeneous Adaptive Policy Optimization: Tailoring Optimization to Every Token&#8217;s Nature</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/reward-lens-a-mechanistic-interpretability-library-for-reward-models/]]></guid>
			<link><![CDATA[https://provide.ai/reward-lens-a-mechanistic-interpretability-library-for-reward-models/]]></link>
			<title>reward-lens: A Mechanistic Interpretability Library for Reward Models</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/delta-score-matters-spatial-adaptive-multi-guidance-in-diffusion-models/]]></guid>
			<link><![CDATA[https://provide.ai/delta-score-matters-spatial-adaptive-multi-guidance-in-diffusion-models/]]></link>
			<title>Delta Score Matters! Spatial Adaptive Multi Guidance in Diffusion Models</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/ocr-memory-optical-context-retrieval-for-long-horizon-agent-memory/]]></guid>
			<link><![CDATA[https://provide.ai/ocr-memory-optical-context-retrieval-for-long-horizon-agent-memory/]]></link>
			<title>OCR-Memory: Optical Context Retrieval for Long-Horizon Agent Memory</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/consist-retinex-one-step-noise-emphasized-consistency-training-accelerates-high-quality-retinex-enhancement/]]></guid>
			<link><![CDATA[https://provide.ai/consist-retinex-one-step-noise-emphasized-consistency-training-accelerates-high-quality-retinex-enhancement/]]></link>
			<title>Consist-Retinex: One-Step Noise-Emphasized Consistency Training Accelerates High-Quality Retinex Enhancement</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/generative-bid-shading-in-real-time-bidding-advertising/]]></guid>
			<link><![CDATA[https://provide.ai/generative-bid-shading-in-real-time-bidding-advertising/]]></link>
			<title>Generative Bid Shading in Real-Time Bidding Advertising</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/mtcurv-deep-learning-for-direct-microtubule-curvature-mapping-in-noisy-fluorescence-microscopy-images/]]></guid>
			<link><![CDATA[https://provide.ai/mtcurv-deep-learning-for-direct-microtubule-curvature-mapping-in-noisy-fluorescence-microscopy-images/]]></link>
			<title>MTCurv: Deep learning for direct microtubule curvature mapping in noisy fluorescence microscopy images</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/a-survey-of-process-reward-models-from-outcome-signals-to-process-supervisions-for-large-language-models/]]></guid>
			<link><![CDATA[https://provide.ai/a-survey-of-process-reward-models-from-outcome-signals-to-process-supervisions-for-large-language-models/]]></link>
			<title>A Survey of Process Reward Models: From Outcome Signals to Process Supervisions for Large Language Models</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/improbr-bug-report-improver-using-llms/]]></guid>
			<link><![CDATA[https://provide.ai/improbr-bug-report-improver-using-llms/]]></link>
			<title>ImproBR: Bug Report Improver Using LLMs</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/coquant-joint-weight-activation-subspace-projection-for-mixed-precision-llms/]]></guid>
			<link><![CDATA[https://provide.ai/coquant-joint-weight-activation-subspace-projection-for-mixed-precision-llms/]]></link>
			<title>CoQuant: Joint Weight-Activation Subspace Projection for Mixed-Precision LLMs</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/rl-unknotter-hard-unknots-and-unknotting-number-2/]]></guid>
			<link><![CDATA[https://provide.ai/rl-unknotter-hard-unknots-and-unknotting-number-2/]]></link>
			<title>RL unknotter, hard unknots and unknotting number</title>
			<pubDate><![CDATA[Thu, 30 Apr 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://provide.ai/tell-model-where-to-look-mitigating-hallucinations-in-mllms-by-vision-guided-attention/]]></guid>
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