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Tracking Carbon Storage Underground
Predict how stored carbon dioxide moves underground over time and assess whether injection sites remain safe and stable.
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Linking Energy Production to Earthquake Risk
Analyze sensor and production data to test whether industrial activity correlates with local seismic events and quantify the risk.
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Optimizing Geothermal Production with AI
Predict seismic activity and adjust geothermal operations in real time to maximize energy output while minimizing induced seismicity.
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Finding Natural Resources in Subsurface Data
Analyze geological data to locate possible resource deposits and visualize subsurface structures with machine learning.
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Designing Quantum Deep-Learning Experiments
Compare classical and quantum neural architectures on the same dataset to measure where quantum approaches offer advantages.
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Solving Linear Algebra with Quantum Algorithms
Implement a quantum experiment for solving linear systems and compare the quantum approach's scaling to classical solvers.
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Training Variational Quantum Circuits
Build and train a quantum circuit that behaves like a neural network, optimizing its parameters to minimize a loss function.
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Learning from Quantum Data
Build a quantum-learning experiment that extracts patterns from quantum states and compare what can be learned quantum vs. classically.
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Building Fault-Tolerant Quantum Operations
Design logical quantum operations that remain reliable after errors are introduced, then benchmark their fidelity on simulated noisy circuits.
Protecting Quantum Computations from Noise
Implement quantum error-correcting codes and test how well they preserve information under realistic noise on simulated quantum hardware.
Building and Testing Quantum Neural Networks
Build a trainable quantum circuit and compare its performance against a classical neural network on the same learning task.
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Simulating Molecules with Quantum Algorithms
Use variational quantum circuits to approximate molecules' ground-state energies and simulate chemical reactions on near-term quantum hardware.
Measuring How Stress Affects Cognition
Analyze game-based assessment data to measure how stressful experiences change attention, memory, and higher-order thinking.
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Predicting Vulnerability to Stress and Anxiety
Use longitudinal data to predict which cognitive patterns are associated with increasing stress and anxiety over time.
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Measuring How Students Respond to Feedback
Analyze why students respond differently to performance feedback and which personal factors explain those differences.
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Predicting Academic Performance from Student Data
Use longitudinal data to identify which cognitive, social, and emotional factors best predict academic achievement.
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Comparing Transformers for Medical Image Classification
Benchmark a SWIN transformer against a standard vision transformer to compare accuracy, speed, and computing cost.
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Segmenting Biomedical Images with Transformers
Train AI to outline anatomical structures and disease regions that help researchers measure treatment response.
Classifying Biomedical Images with Transformers
Train a vision transformer to classify medical images and help identify patients who may qualify for clinical trials.
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Designing Low-Cost Diagnostics with AI
Prototype an affordable diagnostic tool and use AI to improve its design, sensor performance, and accessibility.
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Modeling the Microbiome for Better Health
Use AI to predict how changes in gut microbes may influence immunity, inflammation, metabolism, and behavior.
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Tracing Cell Evolution Across Species
Compare single-cell data across species to map how new cell types and biological functions emerge over time.
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Modeling Stem Cells and Tissue Repair
Use AI to study how genes and stem cells coordinate tissue repair and regeneration across biological systems.
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Optimizing Robot Perception and Motion Planning
Apply optimization methods to improve how robots interpret sensor data, plan movement, and respond to uncertainty.
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Reconstructing 3D Environments for Robots
Turn camera data into a 3D representation that helps robots perceive surfaces, depth, objects, and movement.
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Helping Robots Map Unknown Environments
Build a SLAM system that lets a mobile robot locate itself while mapping an unfamiliar environment.
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Estimating Object Pose for Robotic Grasping
Estimate an object's 3D position and orientation so a robot can approach, grasp, and move it accurately.
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Detecting Objects in Cluttered Indoor Scenes
Detect furniture in crowded rooms so robots and smart devices can understand and navigate indoor spaces.
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Detecting Human Posture from Video
Train AI to recognize whether people are standing, sitting, or moving so robots can respond appropriately.
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Generating Human Motion from a Single Image
Animate a still image into realistic human movement while preserving identity and visual consistency across video frames.
Estimating Depth with Stereo Cameras
Use two camera views to estimate distance and reconstruct the depth information robots need to navigate.
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Controlling Autonomous Systems with AI
Build an AI-controlled machine that follows a route, avoids obstacles, and makes real-time navigation decisions.
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Optimizing Chip Design with Machine Learning
Use machine learning to explore semiconductor designs and balance performance, power use, cost, and development time.
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Running Computer Vision on Smart Glasses
Deploy real-time object detection on wearable hardware that must operate with limited power and computing capacity.
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Testing Automated Credit Decisions for Fairness
Simulate lending decisions and test which borrower characteristics influence approvals, risk judgments, and fairness.
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Tracking Economic Sentiment from News
Measure optimism, uncertainty, and other economic signals in news and public discussion using language models.
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Simulating Central Bank Decisions with AI
Use language models to recommend interest-rate decisions and explain tradeoffs between inflation, employment, and economic stability.
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Simulating Markets with Language-Model Agents
Build a virtual marketplace where AI consumers respond to prices, products, budgets, preferences, and behavioral nudges.
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Planning Investments Under Market Constraints
Simulate investment choices when illiquidity, transaction costs, and incomplete markets limit the options available.
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Calibrating Financial Models to Market Prices
Tune a financial model to match observed instrument prices and compare the accuracy and speed of different approaches.
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Forecasting Asset Prices and Returns
Train machine-learning models to forecast financial markets and test whether their predictions hold up against real data.
Balancing Tradeoffs in Business Decisions
Build a quantitative tool for choosing among options when cost, quality, sustainability, and other priorities conflict.
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Allocating Resources Fairly and Efficiently
Model how limited resources should be assigned when organizations must balance efficiency, fairness, and competing needs.
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Optimizing Prices and Inventory in Real Time
Build a decision system that adjusts prices and inventory as customer demand and product availability change.
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Building an Interactive Data Dashboard
Choose a meaningful dataset and transform it into an interactive visual story for a real audience.
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Auditing Fairness in Criminal Justice Algorithms
Use the COMPAS dataset to visualize who receives incorrect risk scores and whether those errors affect groups differently.
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Mapping AI Adoption Across the US Economy
Visualize how workers use AI across occupations and where automation or augmentation may change jobs.
Mapping Where Voice Assistants Fail
Build a dashboard that reveals where voice assistants misunderstand users and how those failures affect different groups.
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Testing What AI Models Reveal
Audit what language models retain or expose and compare practical ways to protect sensitive data.
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Automating Cybersecurity Tasks with Language Models
Build a language-model tool that helps identify vulnerabilities and automate repeatable security testing workflows.
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Evaluating AI Safety and Alignment
Design tests that reveal unsafe, misleading, or misaligned behavior in language models and evaluate possible safeguards.
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Testing AI Systems Against Adversarial Attacks
Probe language models for prompt injection, jailbreaks, and access-control failures to understand the cost of defending AI.
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Matching Texts by Meaning
Train AI to recognize when two sentences express similar meaning, even when they use different words.
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Finding People, Places, and Organizations in Text
Build an AI system that finds names, locations, organizations, and other important entities inside unstructured text.
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Classifying Text for Business Decisions
Train a language model to classify reviews, messages, or documents and turn unstructured text into useful decisions.
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Simulating Motion and Materials with AI
Build an AI simulation that predicts how digital materials move, bend, collide, and respond to physical forces.
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Generating 3D Content from One Image
Turn a single image into a textured 3D asset for games, virtual worlds, and digital content.
Building Animatable Human Avatars
Create a realistic 3D avatar from photos or video that preserves a person's appearance and movement.
Reconstructing Dynamic 3D Scenes
Rebuild moving scenes from images or video for realistic virtual environments, simulations, and immersive experiences.
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Reconstructing Scenes with Advanced Sensors
Combine LiDAR, radar, and thermal data so AI can perceive scenes beyond the limits of ordinary cameras.
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Generating and Evaluating AI Images
Train AI to generate original images and evaluate which techniques produce the most convincing visual results.
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Detecting and Classifying Objects in Images
Build an AI system that recognizes objects in images for robots, vehicles, security systems, and smart cameras.
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Reconstructing 3D Scenes from Photos
Turn ordinary photos into explorable 3D scenes for virtual reality, film, design, and digital experiences.
