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			<guid><![CDATA[https://theaitoday.com/a-unified-framework-for-global-and-local-interpretability-using-adaptive-derivative-ordered-random-explanation/]]></guid>
			<link><![CDATA[https://theaitoday.com/a-unified-framework-for-global-and-local-interpretability-using-adaptive-derivative-ordered-random-explanation/]]></link>
			<title>A unified framework for global and local interpretability using adaptive derivative-ordered random explanation</title>
			<pubDate><![CDATA[Thu, 17 Sep 2026 04:00:00 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://theaitoday.com/gyroval-a-robust-benchmark-for-cultural-value-orientation-in-large-language-models/]]></guid>
			<link><![CDATA[https://theaitoday.com/gyroval-a-robust-benchmark-for-cultural-value-orientation-in-large-language-models/]]></link>
			<title>GYROval: A Robust Benchmark for Cultural Value Orientation in Large Language Models</title>
			<pubDate><![CDATA[Thu, 17 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/reliable-virtual-sensing-a-multi-domain-benchmark-for-robustness-under-sensor-failures/]]></guid>
			<link><![CDATA[https://theaitoday.com/reliable-virtual-sensing-a-multi-domain-benchmark-for-robustness-under-sensor-failures/]]></link>
			<title>Reliable Virtual Sensing: A Multi-Domain Benchmark for Robustness Under Sensor Failures</title>
			<pubDate><![CDATA[Thu, 17 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/cross-modal-attention-acts-as-a-frequency-filter-why-verbose-prompts-improve-robustness-in-vision-language-models/]]></guid>
			<link><![CDATA[https://theaitoday.com/cross-modal-attention-acts-as-a-frequency-filter-why-verbose-prompts-improve-robustness-in-vision-language-models/]]></link>
			<title>Cross-Modal Attention Acts as a Frequency Filter: Why Verbose Prompts Improve Robustness in Vision-Language Models</title>
			<pubDate><![CDATA[Fri, 18 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://theaitoday.com/dreaming-the-sound-of-contact-leveraging-video-and-audio-generation-for-zero-shot-force-aware-manipulation-and-data-generation/]]></guid>
			<link><![CDATA[https://theaitoday.com/dreaming-the-sound-of-contact-leveraging-video-and-audio-generation-for-zero-shot-force-aware-manipulation-and-data-generation/]]></link>
			<title>Dreaming the Sound of Contact: Leveraging Video and Audio Generation for Zero-Shot Force-Aware Manipulation and Data Generation</title>
			<pubDate><![CDATA[Fri, 18 Sep 2026 04:00:00 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://theaitoday.com/regularized-emphatic-temporal-difference-learning-stability-under-constant-stepsizes/]]></guid>
			<link><![CDATA[https://theaitoday.com/regularized-emphatic-temporal-difference-learning-stability-under-constant-stepsizes/]]></link>
			<title>Regularized Emphatic Temporal-Difference Learning: Stability under Constant Stepsizes</title>
			<pubDate><![CDATA[Fri, 18 Sep 2026 04:00:00 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://theaitoday.com/vroom-vroom-at-shroom-visions-a-multi-judge-committee-for-detecting-hallucinated-spans-in-vision-language-outputs/]]></guid>
			<link><![CDATA[https://theaitoday.com/vroom-vroom-at-shroom-visions-a-multi-judge-committee-for-detecting-hallucinated-spans-in-vision-language-outputs/]]></link>
			<title>Vroom-Vroom at SHROOM-Visions: A Multi-Judge Committee for Detecting Hallucinated Spans in Vision-Language Outputs</title>
			<pubDate><![CDATA[Thu, 17 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/making-ai-assisted-claims-independently-challengeable-publication-authority-and-a-protocol-for-falsifiable-publication-records/]]></guid>
			<link><![CDATA[https://theaitoday.com/making-ai-assisted-claims-independently-challengeable-publication-authority-and-a-protocol-for-falsifiable-publication-records/]]></link>
			<title>Making AI-Assisted Claims Independently Challengeable: Publication Authority and a Protocol for Falsifiable Publication Records</title>
			<pubDate><![CDATA[Thu, 17 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/a-conservative-ocr-enabled-workflow-for-r214-sodium-screening-of-south-african-packaged-foods/]]></guid>
			<link><![CDATA[https://theaitoday.com/a-conservative-ocr-enabled-workflow-for-r214-sodium-screening-of-south-african-packaged-foods/]]></link>
			<title>A Conservative OCR-Enabled Workflow for R214 Sodium Screening of South African Packaged Foods</title>
			<pubDate><![CDATA[Wed, 16 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/what-breaks-local-watermarks-a-robustness-benchmark-for-local-invisible-image-watermarking/]]></guid>
			<link><![CDATA[https://theaitoday.com/what-breaks-local-watermarks-a-robustness-benchmark-for-local-invisible-image-watermarking/]]></link>
			<title>What Breaks Local Watermarks? A Robustness Benchmark for Local Invisible Image Watermarking</title>
			<pubDate><![CDATA[Wed, 16 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/stacktok-accelerating-vlms-inference-with-budget-adaptive-visual-token-selection/]]></guid>
			<link><![CDATA[https://theaitoday.com/stacktok-accelerating-vlms-inference-with-budget-adaptive-visual-token-selection/]]></link>
			<title>StackTok: Accelerating VLMs Inference with Budget-Adaptive Visual Token Selection</title>
			<pubDate><![CDATA[Wed, 16 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/k-bench-a-clinically-calibrated-benchmark-for-evaluating-large-language-models-in-high-risk-mental-health-conversations/]]></guid>
			<link><![CDATA[https://theaitoday.com/k-bench-a-clinically-calibrated-benchmark-for-evaluating-large-language-models-in-high-risk-mental-health-conversations/]]></link>
			<title>K-Bench: a clinically calibrated benchmark for evaluating large language models in high-risk mental health conversations</title>
			<pubDate><![CDATA[Wed, 16 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/optimal-pruning-for-neural-architectures-using-fisher-information-distances/]]></guid>
			<link><![CDATA[https://theaitoday.com/optimal-pruning-for-neural-architectures-using-fisher-information-distances/]]></link>
			<title>Optimal Pruning for Neural Architectures using Fisher Information Distances</title>
			<pubDate><![CDATA[Wed, 16 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/actsafeguard-differentiable-and-training-aligned-constraint-enforcement-for-flow-matching-policies/]]></guid>
			<link><![CDATA[https://theaitoday.com/actsafeguard-differentiable-and-training-aligned-constraint-enforcement-for-flow-matching-policies/]]></link>
			<title>ActSafeGuard: Differentiable and Training-Aligned Constraint Enforcement for Flow-Matching Policies</title>
			<pubDate><![CDATA[Tue, 15 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/liftgcn-efficient-energy-preserving-graph-learning-via-joukowski-spectral-lifting-for-finite-element-stress-prediction/]]></guid>
			<link><![CDATA[https://theaitoday.com/liftgcn-efficient-energy-preserving-graph-learning-via-joukowski-spectral-lifting-for-finite-element-stress-prediction/]]></link>
			<title>LiftGCN: Efficient Energy-Preserving Graph Learning via Joukowski Spectral Lifting for Finite Element Stress Prediction</title>
			<pubDate><![CDATA[Tue, 15 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/actguard-pre-execution-action-auditing-against-indirect-prompt-injection-in-llm-agents/]]></guid>
			<link><![CDATA[https://theaitoday.com/actguard-pre-execution-action-auditing-against-indirect-prompt-injection-in-llm-agents/]]></link>
			<title>ActGuard: Pre-execution Action Auditing against Indirect Prompt Injection in LLM Agents</title>
			<pubDate><![CDATA[Tue, 15 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/evaluating-context-segmentation-in-locally-deployable-slms-for-cybersecurity-ctf-tasks/]]></guid>
			<link><![CDATA[https://theaitoday.com/evaluating-context-segmentation-in-locally-deployable-slms-for-cybersecurity-ctf-tasks/]]></link>
			<title>Evaluating Context Segmentation in Locally Deployable SLMs for Cybersecurity CTF Tasks</title>
			<pubDate><![CDATA[Tue, 15 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/zgcm-1-a-fully-open-and-extremely-efficient-foundation-model-for-math-and-agentic-search/]]></guid>
			<link><![CDATA[https://theaitoday.com/zgcm-1-a-fully-open-and-extremely-efficient-foundation-model-for-math-and-agentic-search/]]></link>
			<title>ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search</title>
			<pubDate><![CDATA[Tue, 15 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/publisher-correction-quantum-neural-operators-with-implicit-quadratic-frame-and-expressivity-advantages/]]></guid>
			<link><![CDATA[https://theaitoday.com/publisher-correction-quantum-neural-operators-with-implicit-quadratic-frame-and-expressivity-advantages/]]></link>
			<title>Publisher Correction: Quantum neural operators with implicit quadratic frame and expressivity advantages</title>
			<pubDate><![CDATA[Mon, 14 Sep 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/sctransmil-bridges-patient-level-disease-states-and-single-cell-transcriptomics-for-cancer-screening-and-heterogeneity-inference/]]></guid>
			<link><![CDATA[https://theaitoday.com/sctransmil-bridges-patient-level-disease-states-and-single-cell-transcriptomics-for-cancer-screening-and-heterogeneity-inference/]]></link>
			<title>scTransMIL bridges patient-level disease states and single-cell transcriptomics for cancer screening and heterogeneity inference</title>
			<pubDate><![CDATA[Mon, 14 Sep 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/drug-firms-secret-data-supercharge-ai-protein-models/]]></guid>
			<link><![CDATA[https://theaitoday.com/drug-firms-secret-data-supercharge-ai-protein-models/]]></link>
			<title>Drug firms’ secret data supercharge AI protein models</title>
			<pubDate><![CDATA[Mon, 14 Sep 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/the-einstein-test-what-happens-when-ai-tries-to-rediscover-relativity/]]></guid>
			<link><![CDATA[https://theaitoday.com/the-einstein-test-what-happens-when-ai-tries-to-rediscover-relativity/]]></link>
			<title>The Einstein test: what happens when AI tries to rediscover relativity?</title>
			<pubDate><![CDATA[Wed, 09 Sep 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/adarepair-mem-adaptive-experience-orchestration-for-repository-level-program-repair/]]></guid>
			<link><![CDATA[https://theaitoday.com/adarepair-mem-adaptive-experience-orchestration-for-repository-level-program-repair/]]></link>
			<title>AdaRepair-Mem: Adaptive Experience Orchestration for Repository-Level Program Repair</title>
			<pubDate><![CDATA[Fri, 18 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/use-ai-as-a-sparring-partner-not-an-oracle/]]></guid>
			<link><![CDATA[https://theaitoday.com/use-ai-as-a-sparring-partner-not-an-oracle/]]></link>
			<title>Use AI as a sparring partner, not an oracle</title>
			<pubDate><![CDATA[Wed, 09 Sep 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/multifunctional-brain-implant-translates-speech-and-gestures-in-real-time/]]></guid>
			<link><![CDATA[https://theaitoday.com/multifunctional-brain-implant-translates-speech-and-gestures-in-real-time/]]></link>
			<title>‘Multifunctional’ brain implant translates speech and gestures in real time</title>
			<pubDate><![CDATA[Mon, 14 Sep 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/edu-qurating-multi-dimensional-educational-data-curation-with-distilled-pairwise-judgements/]]></guid>
			<link><![CDATA[https://theaitoday.com/edu-qurating-multi-dimensional-educational-data-curation-with-distilled-pairwise-judgements/]]></link>
			<title>Edu-QuRating: Multi-Dimensional Educational Data Curation with Distilled Pairwise Judgements</title>
			<pubDate><![CDATA[Sat, 12 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/buyer-artificial-intelligence-enabled-environmental-governance-and-supplier-environmental-controversies-an-organizational-information-processing-and-signaling/]]></guid>
			<link><![CDATA[https://theaitoday.com/buyer-artificial-intelligence-enabled-environmental-governance-and-supplier-environmental-controversies-an-organizational-information-processing-and-signaling/]]></link>
			<title>Buyer Artificial Intelligence-Enabled Environmental Governance and Supplier Environmental Controversies: An Organizational Information Processing and Signaling</title>
			<pubDate><![CDATA[Sat, 12 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/pace-perceived-latency-aware-cascading-service-routing-and-filler-control-for-qoe-efficient-retrieval-augmented-dialogue-serving/]]></guid>
			<link><![CDATA[https://theaitoday.com/pace-perceived-latency-aware-cascading-service-routing-and-filler-control-for-qoe-efficient-retrieval-augmented-dialogue-serving/]]></link>
			<title>PACE: Perceived-Latency-Aware Cascading Service Routing and Filler Control for QoE-Efficient Retrieval-Augmented Dialogue Serving</title>
			<pubDate><![CDATA[Sat, 12 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/probabilistic-focal-search-accelerating-bounded-suboptimal-search-via-lower-bound-advancement/]]></guid>
			<link><![CDATA[https://theaitoday.com/probabilistic-focal-search-accelerating-bounded-suboptimal-search-via-lower-bound-advancement/]]></link>
			<title>Probabilistic Focal Search: Accelerating Bounded-Suboptimal Search via Lower-Bound Advancement</title>
			<pubDate><![CDATA[Sat, 12 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/safer-activities-a-dataset-for-smart-assessment-of-fall-events-and-routine-activities/]]></guid>
			<link><![CDATA[https://theaitoday.com/safer-activities-a-dataset-for-smart-assessment-of-fall-events-and-routine-activities/]]></link>
			<title>SAFER-Activities: A Dataset for Smart Assessment of Fall Events and Routine Activities</title>
			<pubDate><![CDATA[Fri, 11 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/metrollm-bench-evaluating-language-models-as-transit-kiosk-runtimes/]]></guid>
			<link><![CDATA[https://theaitoday.com/metrollm-bench-evaluating-language-models-as-transit-kiosk-runtimes/]]></link>
			<title>MetroLLM-Bench: Evaluating Language Models as Transit Kiosk Runtimes</title>
			<pubDate><![CDATA[Fri, 11 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/elastoformer-enabling-dynamic-adaptivity-via-elastic-model-transformation/]]></guid>
			<link><![CDATA[https://theaitoday.com/elastoformer-enabling-dynamic-adaptivity-via-elastic-model-transformation/]]></link>
			<title>Elastoformer: Enabling Dynamic Adaptivity via Elastic Model Transformation</title>
			<pubDate><![CDATA[Fri, 11 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/omni-interaction-agent-technical-report/]]></guid>
			<link><![CDATA[https://theaitoday.com/omni-interaction-agent-technical-report/]]></link>
			<title>Omni Interaction Agent Technical Report</title>
			<pubDate><![CDATA[Fri, 11 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/opendiscoverytrace-process-traces-for-evaluating-ai-scientist-workflows/]]></guid>
			<link><![CDATA[https://theaitoday.com/opendiscoverytrace-process-traces-for-evaluating-ai-scientist-workflows/]]></link>
			<title>OpenDiscoveryTrace: Process Traces for Evaluating AI Scientist Workflows</title>
			<pubDate><![CDATA[Fri, 11 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/mcpo-modality-contrastive-preference-optimization-for-multimodal-chain-of-thought-compression/]]></guid>
			<link><![CDATA[https://theaitoday.com/mcpo-modality-contrastive-preference-optimization-for-multimodal-chain-of-thought-compression/]]></link>
			<title>MCPO: Modality-Contrastive Preference Optimization for Multimodal Chain-of-Thought Compression</title>
			<pubDate><![CDATA[Thu, 10 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/explainable-data-generation-from-observed-small-samples-by-matrix-tri-factorization/]]></guid>
			<link><![CDATA[https://theaitoday.com/explainable-data-generation-from-observed-small-samples-by-matrix-tri-factorization/]]></link>
			<title>Explainable data generation from observed small samples by matrix tri-factorization</title>
			<pubDate><![CDATA[Wed, 09 Sep 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/quantifying-the-engagement-trap-impact-of-short-form-video-recommender-systems-on-users-with-adhd/]]></guid>
			<link><![CDATA[https://theaitoday.com/quantifying-the-engagement-trap-impact-of-short-form-video-recommender-systems-on-users-with-adhd/]]></link>
			<title>Quantifying the Engagement Trap: Impact of Short-form Video Recommender Systems on Users with ADHD</title>
			<pubDate><![CDATA[Thu, 10 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/climate-modernbert-revisiting-corpus-composition-for-domain-adaptive-continued-pretraining/]]></guid>
			<link><![CDATA[https://theaitoday.com/climate-modernbert-revisiting-corpus-composition-for-domain-adaptive-continued-pretraining/]]></link>
			<title>Climate-ModernBERT: Revisiting Corpus Composition for Domain-Adaptive Continued Pretraining</title>
			<pubDate><![CDATA[Thu, 10 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/ask-before-you-optimize-dynamic-pre-formulation-clarification-for-interactive-optimization/]]></guid>
			<link><![CDATA[https://theaitoday.com/ask-before-you-optimize-dynamic-pre-formulation-clarification-for-interactive-optimization/]]></link>
			<title>Ask Before You Optimize: Dynamic Pre-Formulation Clarification for Interactive Optimization</title>
			<pubDate><![CDATA[Thu, 10 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/beyond-right-and-wrong-evaluating-second-order-social-reasoning-in-large-language-models/]]></guid>
			<link><![CDATA[https://theaitoday.com/beyond-right-and-wrong-evaluating-second-order-social-reasoning-in-large-language-models/]]></link>
			<title>Beyond Right and Wrong: Evaluating Second-order Social Reasoning in Large Language Models</title>
			<pubDate><![CDATA[Thu, 10 Sep 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/when-pathology-segmentation-learns-to-listen/]]></guid>
			<link><![CDATA[https://theaitoday.com/when-pathology-segmentation-learns-to-listen/]]></link>
			<title>When pathology segmentation learns to listen</title>
			<pubDate><![CDATA[Thu, 10 Sep 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/segment-anything-in-pathology-images-with-natural-language/]]></guid>
			<link><![CDATA[https://theaitoday.com/segment-anything-in-pathology-images-with-natural-language/]]></link>
			<title>Segment anything in pathology images with natural language</title>
			<pubDate><![CDATA[Thu, 10 Sep 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/a-clinically-oriented-foundation-model-for-intraoperative-pathology/]]></guid>
			<link><![CDATA[https://theaitoday.com/a-clinically-oriented-foundation-model-for-intraoperative-pathology/]]></link>
			<title>A clinically-oriented foundation model for intraoperative pathology</title>
			<pubDate><![CDATA[Thu, 10 Sep 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/a-collaborative-agent-with-two-lightweight-synergistic-models-for-autonomous-crystal-materials-research/]]></guid>
			<link><![CDATA[https://theaitoday.com/a-collaborative-agent-with-two-lightweight-synergistic-models-for-autonomous-crystal-materials-research/]]></link>
			<title>A collaborative agent with two lightweight synergistic models for autonomous crystal materials research</title>
			<pubDate><![CDATA[Thu, 10 Sep 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/briefing-chat-the-bunsen-burner-myth-that-turns-out-to-be-just-hot-air/]]></guid>
			<link><![CDATA[https://theaitoday.com/briefing-chat-the-bunsen-burner-myth-that-turns-out-to-be-just-hot-air/]]></link>
			<title>Briefing Chat: The Bunsen burner myth that turns out to be just hot air</title>
			<pubDate><![CDATA[Fri, 11 Sep 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/breaking-timescales-with-generative-sampling-of-conformational-transitions/]]></guid>
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			<pubDate><![CDATA[Wed, 09 Sep 2026 00:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://theaitoday.com/vikingrag-accurate-and-token-efficient-retrieval-augmented-generation-over-structured-documents/]]></guid>
			<link><![CDATA[https://theaitoday.com/vikingrag-accurate-and-token-efficient-retrieval-augmented-generation-over-structured-documents/]]></link>
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			<pubDate><![CDATA[Sat, 12 Sep 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://theaitoday.com/predicting-genome-wide-functional-constraints-with-gpn-star/]]></guid>
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			<pubDate><![CDATA[Wed, 09 Sep 2026 00:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://theaitoday.com/ai-model-predicts-which-breast-cancer-drugs-work-best/]]></guid>
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			<guid><![CDATA[https://theaitoday.com/cswam-better-causal-semantic-representations-for-out-of-distribution-generalization-in-world-action-models/]]></guid>
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		</item>
				</channel>
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