As the leading healthcare provider with 169 hostpials, 116 surgury centers, over 200,000 employees,and 26 mllion patient encounters per year, HCA is always looking for ways to improve patient care and manage costs. #ai #machinelearning #ai #deeplearning #mlRead More HCA: Predicting Patient Outcomes in Real-time with H2O
Mobile bankng is a key application for Capital One serving millions of customers per day. Predicting infrastructure issues before they become bottlenecks and impact customer transactions is a key goal of the technology operations group. Effective prediction requires has to scale across large datasets and take into account a variety of time series factors that […]Read More AI & Capital One: Preventing Downtime with Mobile Transaction Forecasing and Anomaly Detection
This talk will focus on creating a production machine learning pipeline using TFX. Using TFX developers can implement machine learning pipelines capable of processing large datasets for both modeling and inference. In addition to data wrangling and feature engineering over large datasets, TFX enables detailed model analysis and versioning. The talk will focus on implementing […]Read More TensorFlow Extended (TFX): Machine Learning Pipelines and Model Understanding (Google I/O’19)
Creating and maintaining a platform for reliably producing and deploying machine learning models requires careful orchestration of many components—-a learner for generating models based on training data, modules for analyzing and validating both data as well as models, and finally infrastructure for serving models in production. This becomes particularly challenging when data changes over time […]Read More Google: The Anatomy of a Production-Scale Continuously-Training Machine Learning Platform
Deep Learning in practice in face Detection and recognition on video in Real Time. System detects on video President of Poland A. Duda. Another persons are labeled as Unknown. System no needs a thousand photos to learn recognize person becouse bases on biometric person parameters. To train and recognize president of Poland I used about […]Read More Artificial Intelligence in practice in FACE Detection and recognition on video in Real Time
I’d like to present my own solution regarding applying Deep Learning for X-ray security scanner for armor / weapon detection in Real Time. Currently network is trained for pistols, guns,weapons detection. But it’s no problem to extension range of detection System can be used in massive x-ray scanning on airports, courts or another important for security […]Read More Deep Learning for X-ray security scanner for armor / weapon detection in Real Time
I’d like to present my own solution regarding Deep Learning in practice for DRONES in monitoring lakes for boats and people detection in real time.Read More AI in practice: DRONE for lakes monitoring for boats and people detection in Real Time
Artificial Intelligence at NIGHT – Monitoring and object detection with poor lighting or darkness in Real Time – AMAZING!!!
My own system for monitoring areas and object detection at NIGHT in Real Time. The system perfectly recognizes objects with poor lighting or darkness. These are situations in which opencv or other solutions have problems and can not cope with the recognition of objects. System works on my own dedicated server for AI called as […]Read More Artificial Intelligence at NIGHT – Monitoring and object detection with poor lighting or darkness in Real Time – AMAZING!!!
I’d like present solution regarding Deep Machine in case of Real-time to face detection based on Yolo Model (read more) and created on Darknet(Darknet). Most of the existing face detection solutions detect the face only when the face is face-to-face directed to the camera or camcorder. In the case when the person turns the head, most […]Read More Deep Machine Learning in practice: Darknet and Yolo2 model in Real Time face detection