Physics-informed neural networks for sparse neutron source reconstruction
We are developing a physics-informed neural network (PINN) to reconstruct neutron sources from extremely...
Creating the Onco-Tensor: An AI-ready repository for multi-omic cancer data
Multi-omic data (e.g., genomics, transcriptomics) holds the key to identifying novel solutions for most...
Quantifying leaf beetle communities in the Diablo Range, CA
Natural History Museums (NHM) are critical to biodiversity research, and increasingly in evolution, genetics...
Expanding flood image datasets for AI training and improved disaster response
Flooding affects ~1.81 billion people worldwide, rising with urban growth. Flood patterns and impacts differ...
Optimizing eDNA sampling: Which filters best capture marine biodiversity?
Recent trials in the Galapagos demonstrate that environmental DNA (eDNA) is a powerful biodiversity monitoring...
OpenFlavor: scaling and modeling fermentation through open science
The fast-growing no- and low-alcohol industry relies on novel fermentations like tea, but outcomes remain...
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