Graphen: Striving to advance AI technologies to improve life

The human brain is a giant graph of 100 billion nodes and 700 trillion edges, performing four major functions: memory, observation, judgment & perception and abstract reasoning & strategy. Graphs are natural way to remember, correlate and understand all that surrounds us. To mimic the human experience of intelligence, graphs play a key role. For over two decades, the researchers and developers have been devoting themselves to advance artificial intelligence technologies based on the potential capabilities of the graph infrastructure.

Graphen is one such firm that builds next-generation Artificial Intelligence (AI) platforms based on graphs to produce full brain functions and create novel industry solutions. It has two main offerings are AI Foundation and AI Finance. Graphen AI Foundation includes next-generation AI Platform Ardi, AI Security and AI Medical. Its AI Finance provides AI Banking, AI Investment, AI Insurance and AI Legal solutions. The company's system consists of ground-breaking technologies mimicking full functions of the brain. It provides a competitive advantage through large-scale artificial intelligence knowledge building, recognition, feeling, reasoning and strategic thinking that can hardly be matched by humans alone. Its next-generation technologies include Linked Big Data, Advanced Visualization, Autonomous Learning, Cognitive Feeling, Machine Reasoning, Strategic Thinking, Human Understanding and Prediction.

Ardi: AI Foundation

Inspired by the vast, full functionality of the human brain, Graphen has developed a next-gen, onestop Artificial Intelligence platform Ardi, which mimics full brain functions.

Graphen Ardi AI Platform includes eleven key modules: Memory, Perception, Learning, Reasoning, Understanding, Strategy, Expression, Personality, Emotion, Knowledge, and Action. They are organized and coordinated by a Pipeline. It empowers users to build industry specific solutions to solve complex problems from Fraud Detection, Genomic Analysis, Drug Development, and Car Diagnostics to building a smart energy grid.

Ardi is the future of AI. It is enterprise-ready for companies and organizations with large quantity of data processing and complicated problem-solving needs.

Ardi Advantages

• Utilize property graph, collective graph and behavior graph to build knowledgebase and intelligence. Ardi is able to increase accuracy at least two to three times by context and relation analysis, 10 times by reasoning and behavior prediction.
• Use statistical, proximity-based, density-based and clustering-based analytics technologies to detect collective, contextual and point anomalies, and determine aggregated risks.
• Bayesian Networks offer an expressive visual and quantitative tool for learning and representing reasoning procedures, and understanding causality among variables. Machine Reasoning may improve risk behavior prediction accuracy by 10 to 100 times. Able to detect long-term anomalies and threats.
• Ardi provides a holistic approach to analyze the customer’s behavior by comparing to its control groups. Based on various scenarios of stress tests, what-if conditions, assign predictions on incomplete fields, scores update with new information automatically.
• Ardi's AI explainer provides local interpretable model-agnostic explanations, approximates the model to the closest linear model at a local level, takes a point with several point in vicinity, generates a linear model based on results and calculates the weightage of each input feature.
• Ardi allows a streamlined pipeline of scheduling tasks, cascading task steps, publishing for production applications and monitoring status.

Alpha Finance

Graphen Alpha Finance is built upon next-gen AI platform and global financial industry deployment experience. The solutions are enterprise-ready, and can work with legacy systems already implemented at a financial institution to improve performance, efficiency and productivity. Leveraging the proprietary knowledge graph database and analytics, Ardi AI Platform combines fast, efficient processing and high-performance computing to deliver results from solutions that are more interpretable and meaningful to its customers. Alpha Finance is here to assist innovative, forward-thinking financial institutions to enter the era of AI ahead of its time.

ATOM: AI Tools of Medical pave Digital Biology foundation

Biology Central Dogma is established through DNA/RNA, which guides assembling Amino Acids to create Proteins – the building blocks of any live. Protein is a molecule, which is a graph set of atoms. Graphen Medical has been focusing on solving biological challenges through fundamental research utilizing graph computing and quantum physics to better predict biological functions down to the atom level. Graphen Atom platform includes 12 tools. Most Atom tools' accuracy outperformed the best known tools in the literature, except the Protein Structure Prediction tool, which is slightly worse than the state-of-the-art but with less computational requirement.

Graphen Atom makes fundamental scientific progress down to the atom level. These tools model from proteins, to protein-protein interaction and protein-environment interaction, and to biological network and system biology viewpoints. Through scaling from points, to links, and to networks, Graphen Atom is providing advantageous performance and predictability. Like a map that zooms to see in different scale, Graphen Atom provides a foundation of Digital Biology and helps to predict and explain how bio mechanisms function.

Graphen Aica

Aica predicts car fixes by looking at sensor data as well as the error code generated by the car computer. There are about 46 sensors in the car and close to 3,000 error codes for powertrain, which makes it a totally of 17 billion combinations of error codes and sensors - a huge challenge to correlate to car fixes. The conditions of a car can also vary based on engines, manufactures, mileage date, and etc., which make the prediction of car repair extremely difficult with traditional methods. Combining advanced Machine Learning and Baysian Network, Graphen Aica is capable of analyzing all 17 billion combinations of error codes with high accuracy. Graphen's system successfully achieved the prediction accuracy far beyond expectations. Built with advanced AI to perform advanced tasks including Massive Data Cleaning and Crawling, Domain Knowledge Graph Analytics, Machine Learning, Deep Learning, Bayesian Network, etc., the system keeps self-improving. The technology is proven to be ideal and effective for establishing solutions to enter a new market or apply to the ever growing new car models.

About | Dr. Ching-Yung Lin

Dr. Ching-Yung Lin is the CEO of Graphen. Before June 2017, he was Chief Scientist for Graph Computing at IBM and an IBM Distinguished Researcher. He created and led the Network Science and Machine Intelligence department at IBM T. J. Watson Research Center. He is also an Adjunct Professor at Columbia University since 2005, an Affiliate Professor at the University of Washington from 2003 to 2009 and an Adjunct Professor at NYU in 2014.

Dr. Lin was named an IEEE Fellow in Nov 2011, the first in the area of Network Science. He is an author of 170+ publications and 29 awarded patents.

"Built upon true AI, Graphen’s services, solutions and products are deployed at leading enterprises and institutions around the world, outperforming major AI players in speed, accuracy, efficiency and effectiveness."