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			<guid><![CDATA[https://theaitoday.com/agentwall-a-runtime-safety-layer-for-local-ai-agents/]]></guid>
			<link><![CDATA[https://theaitoday.com/agentwall-a-runtime-safety-layer-for-local-ai-agents/]]></link>
			<title>AgentWall: A Runtime Safety Layer for Local AI Agents</title>
			<pubDate><![CDATA[Tue, 19 May 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://theaitoday.com/astra-communication-efficient-acceleration-for-multi-device-transformer-inference/]]></guid>
			<link><![CDATA[https://theaitoday.com/astra-communication-efficient-acceleration-for-multi-device-transformer-inference/]]></link>
			<title>ASTRA: Communication-Efficient Acceleration for Multi-Device Transformer Inference</title>
			<pubDate><![CDATA[Thu, 28 May 2026 04:00:00 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://theaitoday.com/modernising-reinforcement-learning-based-navigation-for-embodied-semantic-scene-graph-generation/]]></guid>
			<link><![CDATA[https://theaitoday.com/modernising-reinforcement-learning-based-navigation-for-embodied-semantic-scene-graph-generation/]]></link>
			<title>Modernising Reinforcement Learning-Based Navigation for Embodied Semantic Scene Graph Generation</title>
			<pubDate><![CDATA[Wed, 27 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/rl-squeezes-sft-expands-a-comparative-study-of-reasoning-llms/]]></guid>
			<link><![CDATA[https://theaitoday.com/rl-squeezes-sft-expands-a-comparative-study-of-reasoning-llms/]]></link>
			<title>RL Squeezes, SFT Expands: A Comparative Study of Reasoning LLMs</title>
			<pubDate><![CDATA[Thu, 28 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/beyond-the-data-mesh-illusion-designing-modern-ai-augmented-lakehouses-to-bridge-the-gap-between-theory-and-practice/]]></guid>
			<link><![CDATA[https://theaitoday.com/beyond-the-data-mesh-illusion-designing-modern-ai-augmented-lakehouses-to-bridge-the-gap-between-theory-and-practice/]]></link>
			<title>Beyond the Data Mesh Illusion: Designing Modern AI-augmented Lakehouses to Bridge the Gap Between Theory and Practice</title>
			<pubDate><![CDATA[Wed, 27 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/deep-layer-limit-and-stability-analysis-of-the-basic-forward-backward-splitting-induced-network-ii-learning-problems/]]></guid>
			<link><![CDATA[https://theaitoday.com/deep-layer-limit-and-stability-analysis-of-the-basic-forward-backward-splitting-induced-network-ii-learning-problems/]]></link>
			<title>Deep-layer limit and stability analysis of the basic forward-backward-splitting induced network (II): learning problems</title>
			<pubDate><![CDATA[Wed, 27 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/rethinking-weak-supervision-in-anomaly-detection-a-comprehensive-benchmark/]]></guid>
			<link><![CDATA[https://theaitoday.com/rethinking-weak-supervision-in-anomaly-detection-a-comprehensive-benchmark/]]></link>
			<title>Rethinking Weak Supervision in Anomaly Detection: A Comprehensive Benchmark</title>
			<pubDate><![CDATA[Wed, 27 May 2026 04:00:00 +0000]]></pubDate>
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					<item>
			<guid><![CDATA[https://theaitoday.com/brickanything-geometry-conditioned-buildable-brick-generation-with-structure-aware-tokenization/]]></guid>
			<link><![CDATA[https://theaitoday.com/brickanything-geometry-conditioned-buildable-brick-generation-with-structure-aware-tokenization/]]></link>
			<title>BrickAnything: Geometry-Conditioned Buildable Brick Generation with Structure-Aware Tokenization</title>
			<pubDate><![CDATA[Wed, 27 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/governed-capability-evolution-lifecycle-time-compatibility-checking-and-rollback-for-ai-component-based-systems-with-embodied-agents-as-case-study/]]></guid>
			<link><![CDATA[https://theaitoday.com/governed-capability-evolution-lifecycle-time-compatibility-checking-and-rollback-for-ai-component-based-systems-with-embodied-agents-as-case-study/]]></link>
			<title>Governed Capability Evolution: Lifecycle-Time Compatibility Checking and Rollback for AI-Component-Based Systems, with Embodied Agents as Case Study</title>
			<pubDate><![CDATA[Wed, 27 May 2026 04:00:00 +0000]]></pubDate>
		</item>
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			<guid><![CDATA[https://theaitoday.com/where-code-meets-natural-language-taxonomy-driven-information-flow-analysis-for-llm-integrated-applications/]]></guid>
			<link><![CDATA[https://theaitoday.com/where-code-meets-natural-language-taxonomy-driven-information-flow-analysis-for-llm-integrated-applications/]]></link>
			<title>Where Code Meets Natural Language: Taxonomy-Driven Information Flow Analysis for LLM-Integrated Applications</title>
			<pubDate><![CDATA[Wed, 27 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/swap-towards-copyright-auditing-of-soft-prompts-via-sequential-watermarking/]]></guid>
			<link><![CDATA[https://theaitoday.com/swap-towards-copyright-auditing-of-soft-prompts-via-sequential-watermarking/]]></link>
			<title>SWAP: Towards Copyright Auditing of Soft Prompts via Sequential Watermarking</title>
			<pubDate><![CDATA[Wed, 27 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/vital-trace-protocol-constrained-patient-state-reasoning-for-longitudinal-clinical-trajectories/]]></guid>
			<link><![CDATA[https://theaitoday.com/vital-trace-protocol-constrained-patient-state-reasoning-for-longitudinal-clinical-trajectories/]]></link>
			<title>Vital Trace: Protocol-Constrained Patient-State Reasoning for Longitudinal Clinical Trajectories</title>
			<pubDate><![CDATA[Wed, 27 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/ssdau-structured-semantic-data-augmentation-for-joint-entity-and-relation-extraction/]]></guid>
			<link><![CDATA[https://theaitoday.com/ssdau-structured-semantic-data-augmentation-for-joint-entity-and-relation-extraction/]]></link>
			<title>SSDAU: Structured Semantic Data Augmentation for Joint Entity and Relation Extraction</title>
			<pubDate><![CDATA[Tue, 26 May 2026 04:00:00 +0000]]></pubDate>
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			<guid><![CDATA[https://theaitoday.com/position-the-turing-completeness-of-autoregressive-transformers-relies-heavily-on-context-management/]]></guid>
			<link><![CDATA[https://theaitoday.com/position-the-turing-completeness-of-autoregressive-transformers-relies-heavily-on-context-management/]]></link>
			<title>Position: The Turing-Completeness of Autoregressive Transformers Relies Heavily on Context Management</title>
			<pubDate><![CDATA[Thu, 28 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/position-retire-the-positive-backdoor-label-secret-alignment-requires-strict-and-systematic-evaluation/]]></guid>
			<link><![CDATA[https://theaitoday.com/position-retire-the-positive-backdoor-label-secret-alignment-requires-strict-and-systematic-evaluation/]]></link>
			<title>Position: Retire the &#8220;Positive Backdoor&#8221; Label &#8212; Secret Alignment Requires Strict and Systematic Evaluation</title>
			<pubDate><![CDATA[Thu, 28 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/reader-reasoning-enhanced-ai-generated-text-detection/]]></guid>
			<link><![CDATA[https://theaitoday.com/reader-reasoning-enhanced-ai-generated-text-detection/]]></link>
			<title>READER: Reasoning-Enhanced AI-Generated Text Detection</title>
			<pubDate><![CDATA[Wed, 27 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/causalflow-causal-attribution-and-counterfactual-repair-for-llm-agent-failures/]]></guid>
			<link><![CDATA[https://theaitoday.com/causalflow-causal-attribution-and-counterfactual-repair-for-llm-agent-failures/]]></link>
			<title>CausalFlow: Causal Attribution and Counterfactual Repair for LLM Agent Failures</title>
			<pubDate><![CDATA[Tue, 26 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/a-general-tensor-structured-compression-scheme-for-efficient-large-language-models/]]></guid>
			<link><![CDATA[https://theaitoday.com/a-general-tensor-structured-compression-scheme-for-efficient-large-language-models/]]></link>
			<title>A general tensor-structured compression scheme for efficient large language models</title>
			<pubDate><![CDATA[Tue, 26 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/cosplay-cooperative-self-play-at-test-time-with-self-generated-code-and-unit-test/]]></guid>
			<link><![CDATA[https://theaitoday.com/cosplay-cooperative-self-play-at-test-time-with-self-generated-code-and-unit-test/]]></link>
			<title>CoSPlay: Cooperative Self-Play at Test-Time with Self-Generated Code and Unit Test</title>
			<pubDate><![CDATA[Tue, 26 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/in-search-of-the-ingredients-of-open-endedness-replicating-picbreeder-with-large-vision-language-models/]]></guid>
			<link><![CDATA[https://theaitoday.com/in-search-of-the-ingredients-of-open-endedness-replicating-picbreeder-with-large-vision-language-models/]]></link>
			<title>In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models</title>
			<pubDate><![CDATA[Tue, 26 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/how-far-can-disaggregation-go-a-design-space-exploration-of-attention-ffn-disaggregation-for-efficient-moe-llm-serving/]]></guid>
			<link><![CDATA[https://theaitoday.com/how-far-can-disaggregation-go-a-design-space-exploration-of-attention-ffn-disaggregation-for-efficient-moe-llm-serving/]]></link>
			<title>How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM Serving</title>
			<pubDate><![CDATA[Thu, 28 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/preisach-attention-a-hysteretic-model-of-sequential-memory/]]></guid>
			<link><![CDATA[https://theaitoday.com/preisach-attention-a-hysteretic-model-of-sequential-memory/]]></link>
			<title>Preisach Attention: A Hysteretic Model of Sequential Memory</title>
			<pubDate><![CDATA[Mon, 25 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/proxy-based-approximation-of-shapley-and-banzhaf-interactions/]]></guid>
			<link><![CDATA[https://theaitoday.com/proxy-based-approximation-of-shapley-and-banzhaf-interactions/]]></link>
			<title>Proxy-Based Approximation of Shapley and Banzhaf Interactions</title>
			<pubDate><![CDATA[Mon, 25 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/bohm-zero-cost-hierarchical-attribution-for-compound-ai-systems/]]></guid>
			<link><![CDATA[https://theaitoday.com/bohm-zero-cost-hierarchical-attribution-for-compound-ai-systems/]]></link>
			<title>BOHM: Zero-Cost Hierarchical Attribution for Compound AI Systems</title>
			<pubDate><![CDATA[Mon, 25 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/atom-level-protein-representation-learning-improves-protein-structure-prediction/]]></guid>
			<link><![CDATA[https://theaitoday.com/atom-level-protein-representation-learning-improves-protein-structure-prediction/]]></link>
			<title>Atom-level Protein Representation Learning Improves Protein Structure Prediction</title>
			<pubDate><![CDATA[Mon, 25 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/cost-effective-model-evaluation-with-meta-learning/]]></guid>
			<link><![CDATA[https://theaitoday.com/cost-effective-model-evaluation-with-meta-learning/]]></link>
			<title>Cost-Effective Model Evaluation with Meta-Learning</title>
			<pubDate><![CDATA[Mon, 25 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/from-sleep-staging-to-spindle-detection-a-case-study-on-end-to-end-automated-sleep-analysis/]]></guid>
			<link><![CDATA[https://theaitoday.com/from-sleep-staging-to-spindle-detection-a-case-study-on-end-to-end-automated-sleep-analysis/]]></link>
			<title>From sleep staging to spindle detection: a case study on end-to-end automated sleep analysis</title>
			<pubDate><![CDATA[Sat, 23 May 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/compositional-literary-primitives-in-instruction-tuned-llms-cross-architectural-sae-features-for-self-style-and-affect/]]></guid>
			<link><![CDATA[https://theaitoday.com/compositional-literary-primitives-in-instruction-tuned-llms-cross-architectural-sae-features-for-self-style-and-affect/]]></link>
			<title>Compositional Literary Primitives in Instruction-Tuned LLMs: Cross-Architectural SAE Features for Self, Style, and Affect</title>
			<pubDate><![CDATA[Wed, 20 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/lift-and-place-a-simple-stable-and-effective-knowledge-distillation-framework-for-lightweight-diffusion-models/]]></guid>
			<link><![CDATA[https://theaitoday.com/lift-and-place-a-simple-stable-and-effective-knowledge-distillation-framework-for-lightweight-diffusion-models/]]></link>
			<title>LIFT and PLACE: A Simple, Stable, and Effective Knowledge Distillation Framework for Lightweight Diffusion Models</title>
			<pubDate><![CDATA[Fri, 22 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/roadmapbench-evaluating-long-horizon-agentic-software-development-across-version-upgrades/]]></guid>
			<link><![CDATA[https://theaitoday.com/roadmapbench-evaluating-long-horizon-agentic-software-development-across-version-upgrades/]]></link>
			<title>RoadmapBench: Evaluating Long-Horizon Agentic Software Development Across Version Upgrades</title>
			<pubDate><![CDATA[Wed, 20 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/automated-icd-classification-of-psychiatric-diagnoses-from-classical-nlp-to-large-language-models/]]></guid>
			<link><![CDATA[https://theaitoday.com/automated-icd-classification-of-psychiatric-diagnoses-from-classical-nlp-to-large-language-models/]]></link>
			<title>Automated ICD Classification of Psychiatric Diagnoses: From Classical NLP to Large Language Models</title>
			<pubDate><![CDATA[Fri, 22 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/rebalancing-reference-frame-dominance-to-improve-motion-in-image-to-video-models/]]></guid>
			<link><![CDATA[https://theaitoday.com/rebalancing-reference-frame-dominance-to-improve-motion-in-image-to-video-models/]]></link>
			<title>Rebalancing Reference Frame Dominance to Improve Motion in Image-to-Video Models</title>
			<pubDate><![CDATA[Thu, 21 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/author-correction-biophysical-prediction-of-protein-peptide-interactions-and-signaling-networks-using-machine-learning/]]></guid>
			<link><![CDATA[https://theaitoday.com/author-correction-biophysical-prediction-of-protein-peptide-interactions-and-signaling-networks-using-machine-learning/]]></link>
			<title>Author Correction: Biophysical prediction of protein–peptide interactions and signaling networks using machine learning</title>
			<pubDate><![CDATA[Thu, 21 May 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/neural-operators-for-free-boundary-problems/]]></guid>
			<link><![CDATA[https://theaitoday.com/neural-operators-for-free-boundary-problems/]]></link>
			<title>Neural operators for free-boundary problems</title>
			<pubDate><![CDATA[Thu, 21 May 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/how-were-using-ai-tools-to-improve-psychedelic-drug-research/]]></guid>
			<link><![CDATA[https://theaitoday.com/how-were-using-ai-tools-to-improve-psychedelic-drug-research/]]></link>
			<title>How we’re using AI tools to improve psychedelic-drug research</title>
			<pubDate><![CDATA[Thu, 21 May 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/deep-neural-operator-for-free-boundary-problems/]]></guid>
			<link><![CDATA[https://theaitoday.com/deep-neural-operator-for-free-boundary-problems/]]></link>
			<title>Deep neural operator for free boundary problems</title>
			<pubDate><![CDATA[Thu, 21 May 2026 00:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/comparative-analysis-of-military-detection-using-drone-imagery-across-multiple-visual-spectrums/]]></guid>
			<link><![CDATA[https://theaitoday.com/comparative-analysis-of-military-detection-using-drone-imagery-across-multiple-visual-spectrums/]]></link>
			<title>Comparative Analysis of Military Detection Using Drone Imagery Across Multiple Visual Spectrums</title>
			<pubDate><![CDATA[Fri, 22 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/kappaplace-learning-hyperspherical-uncertainty-for-visual-place-recognition-via-prototype-anchored-supervision/]]></guid>
			<link><![CDATA[https://theaitoday.com/kappaplace-learning-hyperspherical-uncertainty-for-visual-place-recognition-via-prototype-anchored-supervision/]]></link>
			<title>KappaPlace: Learning Hyperspherical Uncertainty for Visual Place Recognition via Prototype-Anchored Supervision</title>
			<pubDate><![CDATA[Wed, 20 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/promptrad-knowledge-enhanced-multi-label-prompt-tuning-for-low-resource-radiology-report-labeling/]]></guid>
			<link><![CDATA[https://theaitoday.com/promptrad-knowledge-enhanced-multi-label-prompt-tuning-for-low-resource-radiology-report-labeling/]]></link>
			<title>PromptRad: Knowledge-Enhanced Multi-Label Prompt-Tuning for Low-Resource Radiology Report Labeling</title>
			<pubDate><![CDATA[Fri, 22 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/vision-opd-learning-to-see-fine-details-for-multimodal-llms-via-on-policy-self-distillation/]]></guid>
			<link><![CDATA[https://theaitoday.com/vision-opd-learning-to-see-fine-details-for-multimodal-llms-via-on-policy-self-distillation/]]></link>
			<title>Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation</title>
			<pubDate><![CDATA[Wed, 20 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/minteval-evaluating-memory-under-multi-target-interference-in-long-horizon-agent-systems/]]></guid>
			<link><![CDATA[https://theaitoday.com/minteval-evaluating-memory-under-multi-target-interference-in-long-horizon-agent-systems/]]></link>
			<title>MINTEval: Evaluating Memory under Multi-Target Interference in Long-Horizon Agent Systems</title>
			<pubDate><![CDATA[Wed, 20 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/metric-gradient-projection-for-stable-multi-agent-policy-learning/]]></guid>
			<link><![CDATA[https://theaitoday.com/metric-gradient-projection-for-stable-multi-agent-policy-learning/]]></link>
			<title>Metric-Gradient Projection for Stable Multi-Agent Policy Learning</title>
			<pubDate><![CDATA[Wed, 20 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/nested-spatio-temporal-time-series-forecasting/]]></guid>
			<link><![CDATA[https://theaitoday.com/nested-spatio-temporal-time-series-forecasting/]]></link>
			<title>Nested Spatio-Temporal Time Series Forecasting</title>
			<pubDate><![CDATA[Wed, 20 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/bridging-silicon-and-the-hippocampus-algebro-deterministic-memory-vacoal-as-a-substrate-for-vector-hash-and-tem/]]></guid>
			<link><![CDATA[https://theaitoday.com/bridging-silicon-and-the-hippocampus-algebro-deterministic-memory-vacoal-as-a-substrate-for-vector-hash-and-tem/]]></link>
			<title>Bridging Silicon and the Hippocampus: Algebro-Deterministic Memory &#8220;VaCoAl&#8221; as a Substrate for Vector-HaSH and TEM</title>
			<pubDate><![CDATA[Tue, 19 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/backtestbench-benchmarking-large-language-models-for-automated-quantitative-strategy-backtesting/]]></guid>
			<link><![CDATA[https://theaitoday.com/backtestbench-benchmarking-large-language-models-for-automated-quantitative-strategy-backtesting/]]></link>
			<title>BacktestBench: Benchmarking Large Language Models for Automated Quantitative Strategy Backtesting</title>
			<pubDate><![CDATA[Tue, 19 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/training-data-attribution-in-diffusion-models-via-mirrored-unlearning-and-noise-consistent-skew/]]></guid>
			<link><![CDATA[https://theaitoday.com/training-data-attribution-in-diffusion-models-via-mirrored-unlearning-and-noise-consistent-skew/]]></link>
			<title>Training data attribution in diffusion models via mirrored unlearning and noise-consistent skew</title>
			<pubDate><![CDATA[Tue, 19 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/no-free-swap-protocol-dependent-layer-redundancy-in-transformers/]]></guid>
			<link><![CDATA[https://theaitoday.com/no-free-swap-protocol-dependent-layer-redundancy-in-transformers/]]></link>
			<title>No Free Swap: Protocol-Dependent Layer Redundancy in Transformers</title>
			<pubDate><![CDATA[Tue, 19 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/d-pace-dynamic-position-aware-cross-entropy-for-parallel-speculative-drafting/]]></guid>
			<link><![CDATA[https://theaitoday.com/d-pace-dynamic-position-aware-cross-entropy-for-parallel-speculative-drafting/]]></link>
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			<pubDate><![CDATA[Thu, 21 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/solar-a-self-optimizing-open-ended-autonomous-agent-for-lifelong-learning-and-continual-adaptation/]]></guid>
			<link><![CDATA[https://theaitoday.com/solar-a-self-optimizing-open-ended-autonomous-agent-for-lifelong-learning-and-continual-adaptation/]]></link>
			<title>SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation</title>
			<pubDate><![CDATA[Fri, 22 May 2026 04:00:00 +0000]]></pubDate>
		</item>
					<item>
			<guid><![CDATA[https://theaitoday.com/ai-cracks-80-year-old-mathematics-challenge-researchers-are-astonished/]]></guid>
			<link><![CDATA[https://theaitoday.com/ai-cracks-80-year-old-mathematics-challenge-researchers-are-astonished/]]></link>
			<title>AI cracks 80-year-old mathematics challenge — researchers are astonished</title>
			<pubDate><![CDATA[Fri, 22 May 2026 00:00:00 +0000]]></pubDate>
		</item>
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