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Movement limitations shouldn't mean losing control. We transform messy brain waves into clear actions, giving users the power to control prosthetics and games just by thinking.
Same neighborhoods. Different rules.
From content to textbook standards in seconds.
CNN-powered EEG decoding for non-invasive BCIs. Translating neural signals into precise limb control to advance assistive robotics and mobility
Turning thought into safer action.
Pre-COVID top performers became post-COVID losers. We built ML models that capture this shift by separately modeling each era. Result: 0.071 RMSE 89.6% skill score predicting apartment revenue growth.
Redefining neighborhood value in a post-COVID world.
Targeted AIDS to treat the CD4 raids.
SurvivAll analyzes AIDS patient demographics and treatment data to predict their survival outcomes early, enabling clinicians to identify high-risk patients and support equitable, timely care.
We're working on a project that aligns standard codes with textbook content by looking at how they're defined.
Automating Curriculum Standards with Machine Learning
Analysis of AIDs Dataset.
Owl you need is semantic matching (or more)
Predict RevPAR (Revenue per Available Unit) growth for properties and identify how neighborhood amenities and preferences shifted between pre-COVID (2015-2020) and post-COVID (2022-2025) periods.
Our AI predicts which apartments outperform by analyzing nearby amenities and property features. 70% accurate model which is 18% better than baselines, helps investors find winners.
Hailing from South Carolina, we're excited to be competing in the Broadvail Capital Track. We've leveraged research-backed Neural Network strategies to minimize pricing prediction RMSE. Go compilers!
SVSearch (Semantic Vector Search) is a zero-shot AI classifier that automatically tags educational content with curriculum standards by using Google Gemini and MongoDB Atlas.
Prairie Dogs STANDOG because we stand for educational standards, you STANDOG?
An interactive analytics platform that turns a landmark HIV clinical trial into clear evidence by showing how combination therapy saved lives and reshaped global treatment policy.
Location, location, location" is dead. Post-COVID renters care about what they live in — not where.
Identifying drivers of RevPAR growth in multifamily real estate using gradient boosting
Semantiq turns raw educational content into standards-aligned curriculum using AI, helping schools and publishers scale quality education effortlessly.
Turning immune data into actionable, equitable care.
We built a machine-learning system showing that COVID shifted multifamily value drivers from location to price-for-quality, scale, and class-specific competition.
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