8 papers
Open Science, Closed Models: How Funding Shapes AI in Science
Ana Trišović, Janakan Sivaloganathan
How funding shapes AI engagement in science is poorly understood despite its structural importance. We analyze 104,226 papers (2018-2025), linking funding acknowledgments to how ea…
AI in Science: Early Insights
Mihai Codreanu, Alex Imas, Juan Mateos-Garcia +15
Scientific progress is a key driver of economic growth and prosperity. There is great excitement - but also concerns - about the impacts of AI on science, but so far little data. W…
WFDroneBench: A Benchmark for Sensor Placement and Drone Routing for Wildfire Detection
Romain Puech, Joseph Ye, Danique de Moor +2
Increasingly frequent and severe wildfires threaten ecosystems, public health, and infrastructure. Early detection is vital but limited by existing monitoring systems. Drones offer…
RocketPFN: Accurate Time Series Classification via In-Context Learning
Franco Martino O'Rourke, Ana Trisovic, Dimitris Bertsimas
We introduce RocketPFN, a training-free pipeline for time series classification that combines random convolutional feature extraction (Rocket) with in-context classification via a…
A Causal DAG Prior for Synthetic Time-Series Classification Datasets
Franco Martino O'Rourke, Ana Trisovic, Dimitris Bertsimas
A Prior-data fitted Network learns the posterior predictive induced by its training prior; bringing this paradigm to multivariate time-series classification therefore calls for a s…
The Shrinking Lifespan of LLMs in Science
Ana Trišović
Scaling laws describe how language model capabilities grow with compute and data, but say nothing about how long a model matters once released. We introduce time-to-peak and lifesp…
On the Origin of Algorithmic Progress in AI
Hans Gundlach, Alex Fogelson, Jayson Lynch +4
Algorithms have been estimated to increase AI training FLOP efficiency by a factor of 22,000 between 2012 and 2023 [Ho et al., 2024]. Running small-scale ablation experiments on ke…
Science Is Falling Behind the Frontier: Foundation Model Adoption Across Half a Million Papers
Ana Trišović, Alex Fogelson, Janakan Sivaloganathan +1
We present the first large-scale analysis of AI foundation model usage in science -- not just citations or keywords. We find that adoption has grown rapidly, at nearly-exponential…