Formal & Physical Sciences AI — Models & ResearchENShapley Additive Explanations (SHAP)Machine learning classroomFebruary 28, 2026 20 min★ ★ ★ ★ ☆ 4/5SHAPExplainable AIFeature Attribution
Formal & Physical Sciences AI — Models & ResearchENLorin Crawford - When more isn't better: Rethinking Scale in Single-cell Foundation ModelsLorin CrawfordFebruary 28, 2026 44 min★ ★ ★ ★ ☆ 4/5Single-CellFoundation ModelsTranscriptomics
Formal & Physical Sciences AI — Models & ResearchENLIME: local interpretable model-agnostic explanationsMachine learning classroomFebruary 28, 2026 10 min★ ★ ★ ★ ☆ 4/5LIMEInterpretabilityMachine Learning
Applied Sciences & Engineering AI — Models & ResearchENJ'ai connecté l'IA à mes outils et elle automatise tout à ma placeEliott MeunierFebruary 28, 2026 37 min★ ★ ★ ★ ☆ 4/5AutomatisationN8nMCP
Formal & Physical Sciences AI — Models & ResearchENIs AI Hiding Its Full Power? With Geoffrey HintonStarTalkFebruary 28, 2026 93 min★ ★ ★ ★ ★ 5/5Artificial IntelligenceNeural NetworksDeep Learning
Formal & Physical Sciences AI — Models & ResearchENIntrinsically interpretable modelsMachine learning classroomFebruary 28, 2026 14 min★ ★ ★ ★ ☆ 4/5InterpretabilityMachine LearningLogistic Regression
Formal & Physical Sciences AI — Models & ResearchENGradient-based explanations (saliency maps)Machine learning classroomFebruary 28, 2026 15 min★ ★ ★ ★ ☆ 4/5Explainable AISaliency MapsGradient-Based Explanations
Formal & Physical Sciences AI — Models & ResearchENCounterfactual explanationsMachine learning classroomFebruary 28, 2026 11 min★ ★ ★ ★ ☆ 4/5Counterfactual ExplanationsInterpretabilityMachine Learning
Formal & Physical Sciences AI — Models & ResearchENAwni Altabaa: Unlocking Out-of-Distribution Generalization in Transformers via Latent ReasoningAwni AltabaaFebruary 28, 2026 49 min★ ★ ★ ★ ☆ 4/5TransformersOut-of-Distribution GeneralizationLatent Reasoning
Applied Sciences & Engineering AI — Models & ResearchENMLP Live session | Week 3 Session 2Machine Learning PracticeFebruary 27, 2026 128 min★ ★ ★ ★ ☆ 4/5KaggleMachine LearningData Exploration
Formal & Physical Sciences AI — Models & ResearchEN[JC] Principles of Quantum Machine Learning and Multidisciplinary Applications of Hybrid QNNs김성은 (Kim Seongeun), QIYA, Yonsei UniversityFebruary 27, 2026 21 min★ ★ ★ ★ ☆ 4/5Quantum Machine LearningHybrid QNNVariational Quantum Circuits
Formal & Physical Sciences AI — Models & ResearchEN[Generative AI in Urdu/Hindi] Lecture 15: Methods of computing attentionAgha Ali RazaFebruary 27, 2026 24 min★ ★ ★ ★ ☆ 4/5Attention MechanismsSequence-to-SequenceDeep Learning
Formal & Physical Sciences AI — Models & ResearchENPhilipp Koehn: Multilingual Language Processing in 21 century: Lessons Learned and Challenges AheadPhilipp KoehnFebruary 26, 2026 63 min★ ★ ★ ★ ☆ 4/5Machine TranslationMultilingual NLPLarge Language Models
Formal & Physical Sciences AI — Models & ResearchENMLT | Week-3 | Session-1Karthik ThiagarajanFebruary 26, 2026 166 min★ ★ ★ ★ ☆ 4/5ClusteringK-MeansUnsupervised Learning
Applied Sciences & Engineering AI — Models & ResearchENGrok llega a Tesla, analizamos Grok 4.2 en vivo (Ep. 143)El Test de Turing - Inteligencia ArtificialFebruary 26, 2026 88 min★ ★ ★ ☆ ☆ 3/5Grok 4.2TeslaAI Agents
Humanities, Social Sciences & Thought AI — Models & ResearchENEp. 199: AI Answers - Prompting AI, 2026 Job Disruption, AI Output Validation, & Preventing BurnoutPaul Roetzer and Cathy McPhillipsFebruary 26, 2026 60 min★ ★ ★ ★ ☆ 4/5AI AdoptionBusiness StrategyPrompt Engineering
Formal & Physical Sciences AI — Models & ResearchENCette IA chinoise est 17x moins chère que GPT et Claude... et elle les BAT ?Vision IAFebruary 26, 2026 11 min★ ★ ★ ★ ☆ 4/5Qwen 3.5Open Source AIBenchmarks
Formal & Physical Sciences AI — Models & ResearchENBeyond the Buzzwords: How Neural Networks Actually LearnPaul AsaliFebruary 26, 2026 85 min★ ★ ★ ★ ☆ 4/5Neural NetworksBackpropagationGradient Descent
Formal & Physical Sciences AI — Models & ResearchEN[ИАД, весна 2026] Введение в машинное обучение. Лекция 3: Нейронные сетиMachine Learning – Intelligent SystemsFebruary 26, 2026 91 min★ ★ ★ ★ ☆ 4/5Neural NetworksBackpropagationUniversal Approximation
Formal & Physical Sciences AI — Models & ResearchENYuanchao Xu: Generative Modeling through Koopman Spectral Analysis: An Operator-Theoretic PerspectiveYuanchao XuFebruary 25, 2026 23 min★ ★ ★ ★ ☆ 4/5Koopman OperatorGenerative ModelingWasserstein Gradient Descent
Formal & Physical Sciences AI — Models & ResearchENTrained Mamba Emulates Online Gradient Descent in In-Context Linear RegressionWei HuangFebruary 25, 2026 29 min★ ★ ★ ★ ☆ 4/5MambaIn-Context LearningLinear Regression
Formal & Physical Sciences AI — Models & ResearchENToward an Algorithmic Theory of Machine Learning via Kernel MethodsBoumediene HamziFebruary 25, 2026 38 min★ ★ ★ ★ ☆ 4/5Algorithmic Information TheoryKernel MethodsKolmogorov Complexity
Formal & Physical Sciences AI — Models & ResearchENStability in learning the climate of dynamical systems with state space systemsJames Murray LouwFebruary 25, 2026 28 min★ ★ ★ ★ ☆ 4/5Dynamical SystemsReservoir ComputingClimate Learning
Formal & Physical Sciences AI — Models & ResearchENRenier Mendoza: Image reconstruction in electrical impedance tomography using deep neural networksRenier MendozaFebruary 25, 2026 30 min★ ★ ★ ★ ☆ 4/5Electrical Impedance TomographyDeep LearningDifferential Evolution
Formal & Physical Sciences AI — Models & ResearchENReinforcement Learning 2026 - Session 2Robust and Interpretable Machine Learning LabFebruary 25, 2026 84 min★ ★ ★ ★ ☆ 4/5Reinforcement LearningImitation LearningInverse RL
Formal & Physical Sciences AI — Models & ResearchENReinforcement Learning 2026 - Session 1Robust and Interpretable Machine Learning LabFebruary 25, 2026 87 min★ ★ ★ ★ ☆ 4/5Reinforcement LearningMachine LearningPolicy Optimization
Formal & Physical Sciences AI — Models & ResearchENOpen Mathematical Problems in Manifold Learning for Single-Cell DataTuca AuffingerFebruary 25, 2026 51 min★ ★ ★ ★ ☆ 4/5Manifold LearningT-SNEUMAP
Formal & Physical Sciences AI — Models & ResearchENOn the Potential and Pitfalls of Flow Matching for Probabilistic ForecastingSoon Hoe LimFebruary 25, 2026 34 min★ ★ ★ ★ ☆ 4/5Flow MatchingProbabilistic ForecastingDynamical Systems
Formal & Physical Sciences AI — Models & ResearchENMasanobu Horie: Structure-Preserving Graph Neural Networks: Enforcing Symmetry and Conservation LawsMasanobu HorieFebruary 25, 2026 23 min★ ★ ★ ★ ☆ 4/5Graph Neural NetworksPhysics-InformedConservation Laws
Formal & Physical Sciences AI — Models & ResearchENLuca Galimberti: Infinite-dimensional Deep Learning methods for FinanceLuca GalimbertiFebruary 25, 2026 31 min★ ★ ★ ★ ☆ 4/5Infinite-DimensionalNeural NetworksUniversal Approximation
Applied Sciences & Engineering AI — Models & ResearchENLLM-as-a-Judge: Automating and Scaling Generative AI Evaluations in MedicineEmma CroxfordFebruary 25, 2026 42 min★ ★ ★ ★ ☆ 4/5LLMClinical EvaluationSummarization
Formal & Physical Sciences AI — Models & ResearchENKrishnan Raghavan: The role of architecture in learning a continuum of taskKrishnan RaghavanFebruary 25, 2026 28 min★ ★ ★ ★ ☆ 4/5Continual LearningNeural ArchitectureDynamical Systems
Applied Sciences & Engineering AI — Models & ResearchENKeynote: AI-Powered App Development - Steve Sanderson - NDC London 2026Steve SandersonFebruary 25, 2026 54 min★ ★ ★ ★ ☆ 4/5AI Coding AgentsGitHub CopilotSoftware Development
Formal & Physical Sciences AI — Models & ResearchENEfficient Data-Driven Modeling of PDEs: Partially-Observed Flow Map LearningVictor ChurchillFebruary 25, 2026 23 min★ ★ ★ ★ ☆ 4/5PDEFlow Map LearningReduced Basis
Formal & Physical Sciences AI — Models & ResearchENEcho states and fading memory in state-space systemsFlorian RossmannekFebruary 25, 2026 29 min★ ★ ★ ★ ☆ 4/5Echo State PropertyFading MemoryState-Space Systems
Formal & Physical Sciences AI — Models & ResearchENDeepseek Sparse AttentionWest Coast Machine LearningFebruary 25, 2026 102 min★ ★ ★ ★ ☆ 4/5DeepSeekSparse AttentionMulti-Head Latent Attention
Formal & Physical Sciences AI — Models & ResearchENBeyond Static Models: Hypernetworks for Adaptive and Generalizable Forecasting in Complex Parametric Dynamical SystemsPantelis R. VlachasFebruary 25, 2026 32 min★ ★ ★ ★ ☆ 4/5HypernetworksDynamical SystemsForecasting
Applied Sciences & Engineering AI — Models & ResearchEN10 Tips To Level Up Your AI-Assisted Coding - Aleksander Stensby - NDC London 2026Aleksander StensbyFebruary 25, 2026 62 min★ ★ ★ ★ ☆ 4/5AI-Assisted CodingClaude CodeContext Engineering
Applied Sciences & Engineering AI — Models & ResearchENWei Kang: Deep Learning for Data AssimilationWei KangFebruary 24, 2026 45 min★ ★ ★ ★ ☆ 4/5Data AssimilationDeep LearningObservability
Formal & Physical Sciences AI — Models & ResearchENTobias Sutter: Towards Optimal Offline Reinforcement LearningTobias SutterFebruary 24, 2026 28 min★ ★ ★ ★ ☆ 4/5Offline Reinforcement LearningDistributionally Robust OptimizationLarge Deviations