Cornell University — CS Research

Computer science research from Cornell University, covering theory, systems, machine learning, and information science.

Sample of the collection (25 of 3,974 items)

• Spatial AI consistently preferred to state-of-the-art hearing aids in multitalker noise Incell Corporation (United States) OBJECTIVE: We examined the Spatial AI model running on the Fortell AI hearing aids to see whether it improves perceived ease of…
• DAK: Direct-Access-Enabled GPU Memory Offloading with Optimal Efficiency for LLM Inference Cornell University LLM inference is constrained by GPU memory capacity and bandwidth. Tiered memory architectures mitigate this by allowing the GPU to…
• Dual Control of Linear Systems from Bilinear Observations with Belief Space Model Predictive Control Cornell University We study finite-horizon quadratic control of linear systems with bilinear observations, in which the control input affects not only the…
• AI Annotation Orchestration: Evaluating LLM Verifiers to Improve the Quality of LLM Annotations in Learning Analytics Cornell University Large Language Models (LLMs) are increasingly used to annotate learning interactions, yet concerns about reliability limit their…
• INNOVATION IN AN INTERACTIVE WEBSITE-BASED TEACHING MATERIALS OF INDONESIAN LANGUAGE FOR FOREIGN SPEAKERS CONTAINING THE NAMES OF FOODS DURING THE RELIGIOUS CELEBRATIONS IN INDONESIA Cornell University This research was motivated by the lack of Indonesian Language for Foreign Speakers (BIPA) teaching materials that thematically address…
• Co-Designing Environment-Based Strategies with Neurodivergent Individuals for Sensory-Inclusive Dental Visit Experiences University of Wisconsin–Madison Dental clinics can be challenging sensory environments, creating discomfort and stress, especially for neurodivergent individuals with…
• AI-Facilitated Coercive Control: An Experimental Study Cornell University We present an experimental study that investigates how LLM-driven conversational AI tools might be weaponized to facilitate, exacerbate,…
• Convivial Fabrication: Towards Relational Computational Tools For and From Craft Practices Cornell University Computational tools for fabrication often treat materials as passive rather than active participants in design, abstracting away…
• Designing Culturally Aligned AI Systems For Social Good in Non-Western Contexts Cornell University AI technologies are increasingly deployed in high-stakes domains such as education, healthcare, law, and agriculture to address complex…
• Inventory Management with Transformer: Automated Decision Making for Order Timing and Quantity University of North Carolina at Chapel Hill We design an automated decision-making system for inventory management using a Transformer-based neural network. Leveraging contextual…
• Bridging electron microscopy and materials analysis with an autonomous agentic platform Cornell University Electron microscopy (EM) reveals atomic-scale structures that underpin catalysis, energy storage, and semiconductor reliability, yet…
• Unexpected Structural Complexity in Pseudo-Ruddlesden-Popper Phases Cornell University Layered perovskite oxides continue to be the subject of intense research efforts due to their highly tunable crystal structures, which…
• Adaptive neural network control to achieve bipartite consensus in multiple uncertain Euler–Lagrange systems with time-varying delays Cornell University Abstract Bipartite consensus in networks of multiple uncertain Euler–Lagrange systems plays a vital role in collective physical tasks…
• Dynamic Stability Evaluation of Excavators Using IMU Measurements and ZMP Analysis Baku Engineering University Excavators are widely used in construction sites but are vulnerable to rollover accidents due to uneven terrain and load variations.This…
• Curvature-Aware Calibration of Tactile Sensors for Accurate Force Estimation on Non-Planar Surfaces Luoyan Zhong et al. Flexible tactile sensors are increasingly used in real-world applications where they need to conform to curved and irregular surfaces.…
• GEE-DisALEXI: Cloud-Based Implementation of the DisALEXI Model for Evapotranspiration Monitoring Using Google Earth Engine Cornell University Abstract. Evapotranspiration (ET), a key component of the terrestrial water and energy cycles, is essential for understanding ecosystem…
• Impact of Reoptimization Frequency on Dynamic Adaptation of Reservoir Control Policies under Climate Change Cornell University Adapting reservoir control policies can help manage climate uncertainty within the limits of existing infrastructure. However, it has…
• Efficient and robust algorithms for AC optimal transmission switching: a relaxation-based three-stage approach Southeast University • Propose a relaxation-based AC OTS framework reducing problem dimensionality. • Develops a Trajectory-based Unified (TJU) method…
• Evolutionary Games: Use VR games to enhanceusers'understanding ofevolution and cultivate interest inbiological knowledge Cornell University This study presents the design and evaluation of Evolutionary Games, a VR system that leverages embodied interaction to support…
• Dynamic shifts in brain criticality support cognitive processing Cornell University Abstract Systems operating near their critical point, or close to a transition between order and disorder, have computational…
• MMIFEvol: Towards Evolutionary Multimodal Instruction Following Fudan University Multimodal Instruction Following serves as a fundamental capability of multimodal language models, involving accurate comprehension and…
• Unrefined national building inventories can mislead risk assessments and decisions Dartmouth College Flood-risk assessments increasingly rely on large-scale building inventories that offer fine spatial detail but limited and uneven…
• What Is a Robot? Understanding Baseball’s “Robot Umpire” through the Lens of Fluid Technology Cornell University The question “what is a robot?” has long been contested as automated embodied systems encompass many forms. We examine this fundamental…
• A Human-in-the-Loop Confidence-Aware Failure Recovery Framework for Modular Robot Policies Cornell University Robots operating in unstructured human environments inevitably encounter failures, especially in robot caregiving scenarios. While…
• Integrating stability zones and machine learning for enhanced crop management Fundação de Estudos Agrários Luiz de Queiroz Abstract Purpose Sustainable agriculture requires both high and stable crop yields. Whilegenotype-environment-management (G×E×M)…

Query this set from any AI agent

Agents: a markdown version of this page is at https://publicmcp.org/library/cornell.md.