Computing Platforms

The motivation behind our computing platforms is to bridge non-coders with the power of programming languages by connecting data visualization, data science and super intelligence with the user. The design of functionalities and plotting are customized to the business purpose, ranging from data analytics in life and earth sciences, education, healthcare, cryptocurrency, stocks and finance.

Python’s extensive library ecosystem makes it a dominant language for modern software development, most notably in machine learning. By detecting complex patterns within massive datasets that escape human observation, machine learning algorithms enable targeted AI applications that drive practical, real-world value.

Prediction Analysis

Here is an example of Super Intelligence (SI) tailored for stock and cryptocurrency analysis and prediction using recurrent neural networks. The console allows for importing historical cryptocurrency data from a CSV file or directly from an API. The functionalities include interactive visualization and the ability to use deep learning to make predictions into the future.

MathApp

MathApp is a web-based math problem bank designed to generate tests, quizzes and assignments for all types. It is available for public use at https://mathapp.multi-physics.com/

Create new math problems or bring in your Word quizzes and PDF printouts, and MathApp files every problem by course, unit, lesson, and topic, ready to reuse. Draw coordinate graphs where triangles, points, and their reflections, rotations, and translations are computed for you. Give any problem changing numbers, and each version of a quiz gets fresh values, a fresh graph, and its own correct answer key. Pick the topics, click Build quiz, set Max pages, and MathApp produces up to six shuffled versions that fit on the page count you choose, ready to print as Word or PDF. Sign in with your school’s Google or Microsoft account, and your whole bank is there on any computer, saved automatically. Less time formatting tests, more time teaching.