AIAS 2025: Volume InformationProceedings of AI for Accelerated Research Symposium24 articles•220 pages•Published: April 19, 2026 Papers| Yifan Zhang, Bryan Hooi and Shuicheng Yan 1-10 | | Anjun Chen, Lu Tian and Jorg Rodriguez 11-15 | | Shiyuan Luo, Juntong Ni, Shengyu Chen, Runlong Yu, Yiqun Xie, Licheng Liu, Zhenong Jin, Huaxiu Yao and Xiaowei Jia 16-26 | | Trevor Kwan, Jaimie Lee and Raymond Ng 27-35 | | Vignesh Prabhakar, Md Amirul Islam, Adam Atanas, Yao-Ting Wang, Joah Han, Aastha Jhunjhunwala, Rucha Apte, Robert Clark, Kang Xu, Zihan Wang and Kai Liu 36-49 | | Gabriel Reder, Carl Collins, Larisa Soldatova and Ross King 50-56 | | Meiyu Li, Juliana Laze, Daniel Friedman, Orrin Devinsky and Zhe Chen 57-64 | | Sanjita Prajapati, Ashutosh Dumka, Rajan Thakulla, Atmadip Goswami, Karo Ahmadi Dehrashid and Anuj Sharma 65-76 | | Thomas Henning and Colin Camerer 77-84 | | Quintin Pope, Rohan Varma, Christine Tataru, Maude David and Xiaoli Fern 85-88 | | Krishiv Piduri 89-92 | | Stephen Hutt 93-97 | | Binrong Zhu, Ruxue Jin, Yang Liu, Guiran Liu, Qun Wang and Phuong Mai Nguyen 98-102 | | Guiran Liu, Binrong Zhu, Yang Liu and Qun Wang 103-107 | | Risto Miikkulainen and Swathi Kiran 108-112 | | John Lins and Wei Liu 113-120 | | Keith Moore, Jun Kim, David Lyu, Jeffrey Heo and Ehsan Adeli 121-137 | | Keith Moore 138-152 | | Frazier N. Baker, Daniel Adu-Ampratwum, Reza Averly, Botao Yu, Huan Sun and Xia Ning 153-176 | | Azam Shirali, Vitalii Stebliankin and Giri Narasimhan 177-186 | | Bing Hu, Jong-Hoon Park, Young-Rae Cho, Helen Chen and Anita Layton 187-197 | | Aparna Joshi, Matthew Rizzo and Anuj Sharma 198-207 | | Yetunde Longe-Folajimi, Leonidas Deligiannidis, Salem Othman and Ibukun Folajimi 208-217 | | Shengchao Liu 218-220 |
Keyphrases16S, Adapting rather than Retraining, advection-diffusion PDE system, Agent-as-a-Judge, Agentic AI, Agentic Framework, Agentic systems for scientific simulation, AI-assisted programming, AI for physics, AI for Science, Artificial Intelligence, Artificial Intelligence in Healthcare, Battery research, behavioral science, Belief formation in foundation models, Biology, Biomedical Natural Language Processing, ChatGPT, Clinical documents, clinical science, clinical trial, Cognitive impairment detection, Constrained retrosynthesis planning, Context-Aware AI, context optimization, data augmentation, deep learning2, Diet, diffusion for control, diffusion model, Digital Twins, Domain Adaptive Pretraining (DAPT), domain knowledge, drug discovery, drug optimization, Edge Intelligence, EEG, ELECTRA, Electrolyte Solvent Screening, environmental ecosystems, Equity, Federated intelligent agents, Fibromyalgia, Foundation Model2, GenAI revolution, Generative AI2, generative model, GPQA Diamond Benchmark, gut health, Healthcare Transformation, High-frequency Promotion, Human-AI Complementarity, In-vehicle audio, Inflammatory Bowel Disease, Instruction Tuning, inverse optimization, IoT-enabled bin monitoring, knowledge representation, large language models3, Large language models (LLM) on edge, Large Language Models (LLMs), learning health systems, Learning Sciences, LHS unit, LLaMA 3.1 70B, LLM-based Agent, LLMs, machine learning, Medical case simulation with AI agents, microbiome, mild dementia, modeling, Molecular Ranking, MRI segmentation, Multi-agent explainability and debugging, Multi-view fusion, Natural Language Processing2, Omniscience, One-step Diffusion, Ontologies, open clinical AI science, out-of-domain generalization, passive monitoring, phylogenetic, Physical layer sensing, Policy-driven decision-making, Pre-training, Proactive Threat Mitigation, Prompt-Augmented Segmentation with SAM-2, Protein binding interfaces prediction, real-time object detection, Real-time spectrum mapping, reasoning and planning, Reasoning-based Knowledge Distillation, Rehabilitation, Relation Extraction, Research Process Automation, Retrieval-Augmented Generation (RAG), Role-based reasoning in diagnostic modeling, s1K Reasoning Dataset, scientific discovery, Scientific Literature Corpus, scientific reasoning, Scientific Workflow Automation, scoring functions, Secure network slicing, Segmentation as a color channel, Segmentation as an imaging modality, Segmentation is attention, Segmentation Models, Self-Organizing Maps, self-supervised, semantic code retrieval, Semantic Web, Sentiment Analysis, Shared memory coordination in multi-agent systems, Smart Waste Management, spatio-temporal data, spectrum efficiency, speech analysis, SUDEP risk, Sustainable Software Development, synthetic AI subjects, synthetic data, Temporal Context Alignment, Text-to-Image Generation, theory, topic modeling, Traffic Scene Understanding, transformer, Triple-negative breast cancers, Use of Foundation Models for Medical Imaging, Video Question Answering, Vision-Language Models, Vision Mamba, Voice biomarkers, Waste sorting automation, YOLOv5/YOLOv8. |
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