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Showing 201–250 of 464 papers

TitleStatusHype
RZiMM-scRNA: A regularized zero-inflated mixture model framework for single-cell RNA-seq data—0
Safety is Essential for Responsible Open-Ended Systems—0
SANE: Strategic Autonomous Non-Smooth Exploration for Multiple Optima Discovery in Multi-modal and Non-differentiable Black-box Functions—0
Satellite Image and Machine Learning based Knowledge Extraction in the Poverty and Welfare Domain—0
Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars—0
Scaling Large Vision-Language Models for Enhanced Multimodal Comprehension In Biomedical Image Analysis—0
Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling—0
Scaling Laws in Scientific Discovery with AI and Robot Scientists—0
SciDFM: A Large Language Model with Mixture-of-Experts for Science—0
ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows—0
Scientifically-Interpretable Reasoning Network (ScIReN): Uncovering the Black-Box of Nature—0
Scientific Argument with Supervised Learning—0
Scientific Discovery and the Cost of Measurement -- Balancing Information and Cost in Reinforcement Learning—0
Scientific Discovery as Link Prediction in Influence and Citation Graphs—0
Scientific Discovery by Machine Intelligence: A New Avenue for Drug Research—0
Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions—0
Scientists' Perspectives on the Potential for Generative AI in their Fields—0
SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models—0
SCI-IDEA: Context-Aware Scientific Ideation Using Token and Sentence Embeddings—0
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling—0
Self-driving lab discovers principles for steering spontaneous emission—0
Serendipity in Science—0
Simulation-Based Parallel Training—0
Simulation Intelligence: Towards a New Generation of Scientific Methods—0
Smirk: An Atomically Complete Tokenizer for Molecular Foundation Models—0
Soft causal learning for generalized molecule property prediction: An environment perspective—0
Solving Online Resource-Constrained Scheduling for Follow-Up Observation in Astronomy: a Reinforcement Learning Approach—0
Solving Sparse Finite Element Problems on Neuromorphic Hardware—0
Structuring Scientific Innovation: A Framework for Modeling and Discovering Impactful Knowledge Combinations—0
SuperCode: Sustainability PER AI-driven CO-DEsign—0
SylloBio-NLI: Evaluating Large Language Models on Biomedical Syllogistic Reasoning—0
Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI—0
LucidAtlas: Learning Uncertainty-Aware, Covariate-Disentangled, Individualized Atlas Representations—0
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence—0
The IBEX Imaging Knowledge-Base: A Community Resource Enabling Adoption and Development of Immunofluoresence Imaging Methods—0
The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4—0
Theory-guided Data Science: A New Paradigm for Scientific Discovery from Data—0
The Power of the Pareto Front: Balancing Uncertain Rewards for Adaptive Experimentation in scanning probe microscopy—0
The Use of AI-Robotic Systems for Scientific Discovery—0
To be or not to be an Integer? Encoding Variables for Mathematical Text—0
Topic Modeling and Link-Prediction for Material Property Discovery—0
To think inside the box, or to think out of the box? Scientific discovery via the reciprocation of insights and concepts—0
Toward a Cohesive AI and Simulation Software Ecosystem for Scientific Innovation—0
Toward a Team of AI-made Scientists for Scientific Discovery from Gene Expression Data—0
Toward Building Science Discovery Machines—0
Toward Human-AI Co-creation to Accelerate Material Discovery—0
Towards an AI co-scientist—0
Chemist-X: Large Language Model-empowered Agent for Reaction Condition Recommendation in Chemical Synthesis—0
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective—0
Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts—0
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