FairAir shows environmental activists where air pollution is likely to be worst in a city and recommends where to deploy low-cost sensors to improve pollution...
Snout harnesses the combination of computer vision and human intelligence to guide you in classifying & learning about mushrooms.
Sound-based fall detection using AI.
We use mobile phone microscopy & automated image analysis to diagnose parasitic infection in the developing world.
Informing voters on candidate stances and voting information
Patients should be the doctor’s focus, not the computer. Scriboto listens to clinical conversation and writes it into an EHR note so that doctors don’t have...
DeepJams allows users to augment traditional music compositions with model-generated extensions. We use a neural network trained on a genre corpus to extend...
FlexCheck uses computer vision to help you track your progress in injury recovery or performance training. All you have to do is upload an image: FlexCheck...
An easy-to-use platform for organizations to harness the power of machine learning.
Mitigating online gender harassment through 1) user feedback, 2) empathetic innovation, and 3) data-science products
YaBO! is a web portal to give restaurant owners the insights they need to become successful.
A clinical decision-making tool that allows hospital staff and physicians to use predictive modelling to reduce diabetes readmissions.
A toxic-substance data consolidation platform with easy access to your overall exposure levels of pollutants.
GoalTick - The personal assistant to help you tick all your fitness goals!
Deep Learning for Safe Driving.
Tomographica is an artificial intelligence tool for radiologists. With higher sensitivity and fewer false-positives than any offering currently on the market,...
Assess the power of satellite images combined with weather data to predict yields and to do a comparative analysis of modeling strategies.
Personalized recommendation engine using features gathered from Instagram images.
We use advanced statistical methods based on extensive historical data to predict player performance. Using probability distributions, we show how likely a...