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Award-Winning Medical Office Software Designed for Your Specialty
Succeed and scale your practice with cloud-based, data-backed, AI-powered healthcare software.
RXNT is an ambulatory healthcare technology pioneer that empowers medical practices and healthcare organizations to succeed and scale through innovative, data-backed, AI-powered software.
This project is aimed at producing open source hardware for real time use in industrial automation. This project will have a few sub-projects that will focus on individual hardware for various industrial purpose.
Some of the sub-projects will be of type Field-IO Modules development, Analog-IO Module development etc.
VHDL Design Tool - code generation and project management
Application simplifies the development and management of VHDL projects. The project is displayed in a well-arranged tree structure depending on the hierarchy of entities. It also helps to maintain projects in a consistent state. Other features include automatic generation of VHDL testbenches and structures based on user-defined templates. The NetBeans platform is used as a basis for the implementation.
Application defines templates of VHDL structures, which allows us comfortly generate most used VHDL structures. It can also work with VHDL testbench templates from which can be created VHDL testbenches of existing projects.
This project includes a set of tools and guidelines designed for rapid production of large-scale embedded systems projects. The tools enable quick generation of reusable, reconfigurable hardware, using a user-specified hardware description language.
Cloud data warehouse to power your data-driven innovation
BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.
BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.