Improve the performance of industry standard emotion detection models on people of color.
Natural language processing (NLP) to extract relationships and themes from the evolving COVID-19 scientific literature
Use churn models to guide targeted retention strategies.
A better way to assess patients with depression and anxiety for a company bringing new therapeutics to market for neurobehavioral disorders
Support discovery of targets to increase yield and resilience of important, staple food crops using a scalable AI platform.
Design and build a realtime gaze tracking application to assess cognitive performance in dementia, concussion, and intoxication patient cohorts
Analyze proteomics data to determine the MOA of a novel drug candidate that showed promise in in-vitro and in-vivo studies
Quantify and predict student interactions to identify under performing students
Use machine learning algorithms to extract and organize food product ingredients from 2 million+ product label images and classify products into 2,000+ categories
Develop specialized natural language processing (NLP) models to extract and organize newly published web content for a digital PR firm
Leverage computer vision algorithms for object detection and image classification to extract industrial asset information.
Train predictive models on manufacturing process time-series data to predict and prevent future faults
Use data science to identify the highest value sales targets
Train machine learning models to predict consumer purchase behavior to optimize CPG campaigns