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Showing 251–300 of 464 papers

TitleStatusHype
Towards Generalist Biomedical AI—0
Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models—0
Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges—0
Towards Scientific Intelligence: A Survey of LLM-based Scientific Agents—0
Towards trustworthy explanations with gradient-based attribution methods—0
Transformers and Large Language Models for Chemistry and Drug Discovery—0
Transforming the Hybrid Cloud for Emerging AI Workloads—0
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision—0
Tunnel Effects in Cognition: A new Mechanism for Scientific Discovery and Education—0
"Turing Tests" For An AI Scientist—0
Uncertainty in Additive Feature Attribution methods—0
Understanding complex crowd dynamics with generative neural simulators—0
Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery—0
Building high accuracy emulators for scientific simulations with deep neural architecture search—0
Using Artificial Intelligence to aid Scientific Discovery of Climate Tipping Points—0
Using Causal Discovery to Track Information Flow in Spatio-Temporal Data - A Testbed and Experimental Results Using Advection-Diffusion Simulations—0
Using generative AI to investigate medical imagery models and datasets—0
Validation of an LLM-based Multi-Agent Framework for Protein Engineering in Dry Lab and Wet Lab—0
Vertical Symbolic Regression—0
We Need Improved Data Curation and Attribution in AI for Scientific Discovery—0
WHAT TO DO IF SPARSE REPRESENTATION LEARNING FAILS UNEXPECTEDLY?—0
Why Tabular Foundation Models Should Be a Research Priority—0
NatureLM: Deciphering the Language of Nature for Scientific Discovery—0
Deep Reasoning Networks: Thinking Fast and Slow—0
Can Large Language Models Help Experimental Design for Causal Discovery?—0
Enabling AI Scientists to Recognize Innovation: A Domain-Agnostic Algorithm for Assessing Novelty—0
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics—0
34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery—0
AbductionRules: Training Transformers to Explain Unexpected Inputs—0
Ab-initio quantum chemistry with neural-network wavefunctions—0
Accelerating Earth Science Discovery via Multi-Agent LLM Systems—0
Accelerating Legacy Numerical Solvers by Non-intrusive Gradient-based Meta-solving—0
Accelerating Science: A Computing Research Agenda—0
A Comprehensive Performance Study of Large Language Models on Novel AI Accelerators—0
A Computable Piece of Uncomputable Art whose Expansion May Explain the Universe in Software Space—0
A Computational Inflection for Scientific Discovery—0
ACRE: Abstract Causal REasoning Beyond Covariation—0
Active Inference AI Systems for Scientific Discovery—0
Active Measure Reinforcement Learning for Observation Cost Minimization—0
Adaptive Exact Learning of Decision Trees from Membership Queries—0
Advancing AI-Scientist Understanding: Making LLM Think Like a Physicist with Interpretable Reasoning—0
Advancing the Scientific Frontier with Increasingly Autonomous Systems—0
Adversarial Examples and the Deeper Riddle of Induction: The Need for a Theory of Artifacts in Deep Learning—0
A Dynamic Framework for Semantic Grouping of Common Data Elements (CDE) Using Embeddings and Clustering—0
A Field Guide to Scientific XAI: Transparent and Interpretable Deep Learning for Bioinformatics Research—0
Discovery of novel antimicrobial peptides with notable antibacterial potency by a LLM-based foundation model—0
Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions—0
Agents for self-driving laboratories applied to quantum computing—0
AI Assistants to Enhance and Exploit the PETSc Knowledge Base—0
AI Competitions and Benchmarks: The life cycle of challenges and benchmarks—0
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