Bed Exits

CUDA Python Tensorflow NodeJS Angular TypeScript
Foresite Healthcare develops advanced sensor technologies for passive, privacy-protecting, around-the-clock monitoring and artificial intelligence-based predictive analytics to enable preventive care and personized interventions in hospitals and senior living facilities. Foresite hired Positronic to be a deep learning and data science provider to help drive the next generation of hospital monitoring solutions. Positronic developed a deep-learning neural network solution, leveraging convolutional and LSTM technology, that accurately predicts before patients attempt to exit their beds. Read more...

Biomarker Discovery

CUDA Python Tensorflow TypeScript Angular NodeJS Mongo
Stratus, is the leading provider of In-Home Video EEG Testing in the United States. Stratus hired Positronic to build a feature extraction and deep learning platform capable of detecting subtle differences between EEGs obtained in different clinical states for the creation of potential biomarkers of drugs and disease states. data The platform allows the user must to select or upload a batch of EEG files. The platform provides controls for general file management functions to keep the ever-growing datasets manageable. Read more...

Coin Process Automation

Python NodeJS Angular Typescript
Faced with a huge increase in demand, PCGS engaged Positronic to automate the image manipulation portion of their value chain. Creating purpose-built state of the art computer vision technology, Positronic built a software service that programmatically completes all of the image manipulation routines that were, until then, manual steps for human processors. Irregular-shaped cropping Positronic generated novel mathematical routines to programmatically crop irregularly shaped coins. Rotate & classify Positronic employed data science to create a service that programmatically classifies as obverse & reverse of a set of coins, selects the best image for each, and rotates those coin images into an up-right position. Read more...

Counterfeit Detection

Python NodeJS Angular Typescript
Professional Coin Grading Services is a division of Collectors Universe, Inc., the industry leader in third-party grading and authentication services for high-value collectibles. PCGS authenticates and grades collectible coins, trading cards, tickets, autographs and memorabilia. PCGS also compiles and publishes authoritative information about United States and World coins, collectible sports cards and sports memorabilia. PCGS engaged Positronic to build a counterfeit detection application. Positronic built this application, developing innovative advanced computer vision techniques along the way. Read more...

PCGS Gold Shield

Python NodeJS Angular Typescript
PCGS Launches AI-Powered Coin Grading Technology Earlier this year, Professional Coin Grading Service rolled out PCGS Gold Shield™ Service utilizing new coin grading technology developed in partnership with Positronic. Coin grading is the process of determining the grade or condition of a coin in order to determine its value. PCGS is one of the top coin grading services in the United States, providing the standard for coin authenticity. PCGS graders have long been considered the best in the business - setting the bar for finding counterfeits and consistently grading coins with accuracy. Read more...

Real-Time EEG Diagnosis

CUDA Python Tensorflow
Stratus, is the leading provider of In-Home Video EEG Testing in the United States. The stated goal of the Stratus AI initiative is to improve the quality and data of neurophysiology studies. Currently, the publicly announced projects include: artificial intelligence interpretation of EEGs, biomarker discovery services, and the EEGenix database. Stratus hired Positronic to be deep learning and data science provider. What follows is some information about the work we did to facilitate the goal of AI interpretation of EEGs. Read more...

NVIDIA Support

Python CUDA Tensorflow
Recently we were given the privilege to provide technical support to the NVIDIA deep learning research teams. NVIDIA provided supercomputers (DGX-2) for two months, during which time our technical team helped propel forward technology development used to parallelize very large LSTM neural networks.