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AI + Science

Developing Artificial Curiosity Algorithms

Creating an AI agent capable of independent, rigorous scientific discovery in a laboratory meta-fluid with complex flows.
AI + Science

Discovering the Design Rules Linking Protein Sequence to Function

Using and developing advanced multi-modal generative AI models to map the relationship between protein sequences and their functions, enabling the design of novel proteins with desired properties.
AI + Science

Machine Learning Models for Predicting Heart Disease Progression

Developing machine learning models for endothelial tissue mechanoresponses to establish a link between force adaptation and heart disease progression.
AI + Science

Building Cyberinfrastructure for Rare-Event Searches

Developing a dedicated cyberinfrastructure for the application of data-demanding machine learning techniques to rare-event searches, using XENONnT, a dark matter search, as a testbed.
AI + Science

Using Field-Effect Transistor Array to Monitor Water Quality

Using a deep-learning approach to overcome the challenges in the sensing accuracy and reliability of field effect transistors sensors and achieve real-time monitoring of multiple nutrient ions simultaneously.
AI + Science

On-Chip Machine Learning for intelligent Pixel Detectors

Developing next generation microelectronics with on-chip machine learning for future intelligent pixel detectors.
AI + Science

Improving Batteries to Combat Climate Change

Establishing a fully automated, research-grade platform for the assembly and evaluation of batteries by integrating AI-driven models for predicting electrolyte properties with a high-throughput (HT) robotic system for battery construction.
AI + Science

Automating Electron Microscopy with AI

Using machine learning to develop a fully automated electron microscopy workflow to greatly increase data acquisition and analysis throughput by automatically acquiring and denoising images and classifying size and shape dispersity.
AI + Science

Improving Prediction of Breast Cancer Patient Response to Therapy

Using high-plex immunofluorescence to develop meaningful and interpretable spatial features of the tumor-immune microenvironment in breast cancer to improve prediction of patient response to therapy.
AI + Science

Predicting Material Properties

Addressing the inherent complexities of materials science by developing a graph neural network to predict material properties.
AI + Science

Examining The Mystery of How Living Organisms Develop

A machine learning pipeline that extracts the underlying principles of cell behavior from experimental data, offering new possibilities for the application of bioengineering in clinical diagnosis.
AI + Science

Advancing Molecular Measurement with Machine Learning

Developing new machine learning techniques to improve spectroscopy and discover new molecules present in your body, your microbiome, and the environment.
AI + Science

Creating Microbiomes That Improve Human and Environmental Health

Using machine learning and statistical modeling to create thousands of synthetic microbiomes that could help safeguard human health and protect the environment.
A structure called a Sidestream Elevated Pool Aeration station in the Chicagoland Cal-Sag Channel and Calumet River is intended to aerate the river water, which protects fish populations and eliminates odors. Credit: Metropolitan Water Reclamation District
Discovery Challenge

AI-Assisted Molecular Engineering to Detect and Remove Water Contaminants

How can we better detect and remove dangerous contaminants from water?
AI + Science

Learned Emulators of Physics Simulations

Explore the mathematical limits of learned emulators for climate, astrophysics, and high-energy physics models and quantify key trade offs related to accuracy and speed
AI + Science

Real-Time Adaptive Deep Learning for Discovery Science

Design new “system-on-a-chip” hardware to help researchers in data-intensive fields monitor data quality and detect promising results without interrupting the flow of data
AI + Science

Artificially Intelligent Electrochemistry

Use AI to find new, efficient ways of “recycling” CO2 into valuable products such as ethanol and ethylene, using clean electricity generated from the sun and wind
AI + Science

Automated Experimental Design for Cosmic Discovery

Use AI to automate the design, optimization and forecasting of cosmic survey experiments.
AI + Science

Is Climate Change Changing Clouds?

Use machine learning and computer vision to classify cloud textures and patterns, and how those features have changed over time, in order to improve climate projections.
AI + Science

Neural Network Algorithms to Decode the Octopus Neural Network

Scientists will use computational techniques to map the neural network of an octopus, the largest invertebrate brain, and better understand the fundamental principles of neuroscience.
Project

Rational Protein Engineering using Data-Driven Generative Models

Combine machine learning with high-throughput gene synthesis and rapid assay to learn nature’s rules for protein design and create synthetic proteins with elevated or new properties.
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