Paul Pu Liang, Yiwei Lyu, Xiang Fan, Zetian Wu, Yun Cheng, Jason Wu, Leslie Chen, Peter Wu, Michelle A. Lee, Yuke Zhu, Ruslan Salakhutdinov, Louis-Philippe Morency NeurIPS 2021 Datasets and Benchmarks ...
We have improved the GUI for region-of-interest segmentation and analysis, which includes new interactive controls for drawing shapes. Click here to go to the new ROI documentation page. The SimBA ...
The deep learning revolution has a curious blind spot: the spreadsheet. While Large Language Models (LLMs) have mastered the nuances of human prose and image generators have conquered the digital ...
Artificial intelligence (AI) has been making great strides in generating and translating human language. Large language models (LLMs) have quickly moved beyond simply dealing with human speech to ...
a. I have been lucky to be in a position that I can have a positive impact on the career of hundreds (if not thousands) of people. Fortunately, I feel relatively secure in my career and I have ...
We recently presented the idea of conservation machine learning, wherein machine learning (ML) models are saved across multiple runs, users, and experiments 1. Conservation ML is essentially an ...
Plant morphological modeling: Unleashing geometric and topologic potential within the plant sciences
Accurate models of plant morphology, accounting for development and changes in plant architecture across evolutionary distances, are vital in the plant sciences. Breeding the next generation of ...
Rapid development of imaging technology is bringing more and more life scientists to experimental pipelines where the success of the entire undertaking hinges on the analysis of images. Image ...
Current climate models are too coarse to resolve many of the atmosphere’s most important processes. Traditionally, these subgrid processes are heuristically approximated in so-called parameterizations ...
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