Artificial Intelligence and Machine Learning

Building machine-human partnerships to discover new ways to exploit data

 

The amount of data that is available today is enormous, but data on its own is indecipherable for most organizations and individuals. Machines enable us to process data faster and more efficiently while elevating the way we harness the power of data in decision making.

We live in a knowledge-based economy with policymakers, business leaders, and researchers who leverage data in decision making to gain the competitive advantage.

Our Approach

Our team strikes a perfect balance between data intuition, mathematical proficiency, and subject-matter expertise. We thrive on curiosity-driven research that is foundational to the application of machine learning and artificial intelligence. This enables us to harness the power of data to rapidly discover, test, simulate, and implement informed decisions based on predictive models, decision analytics, and easy-to-understand business rules.

Applications

  • Algorithm Evaluation

  • Output Fusion

  • Media Manipulation (Deepfakes)

  • Adversarial Neural Networks

  • IoT Sensor Calibration

  • National Security Autonomous Systems

  • Augmented Reality

  • Healthcare Tools & Equipment

  • Manufacturing Systems

  • Ideation & Modeling

  • Predictive Maintenance

  • IT Services & Security

  • Sales and Marketing

  • Ecommerce

  • Cybersecurity

  • Utilities

  • Financial Prediction

  • Risk Prediction and Mitigation

Related Insights

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Media Forensics: Deepfakes

Initiatives like the MediFor Project have been established to reverse the power of machine learning to stop the spread of disinformation in through the creation of widely accessible tools that distinguish between authentic and doctored media.

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Disaster Relief

The scale and impact of natural disasters can present a significant challenge to governments, emergency responders, and volunteers. AI enables near real-time insights including location of disaster victims, areas of  impact, safest evacuation routes, and the development of weather systems.

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Hive/Software Defined Hardware (SDH)

Data Machines is using machine learning and artificial intelligence along with evaluation and test range software technologies to accelerate development of Electronics Resurgence Initiative (ERI) hardware-focused efforts. This work includes transition of ERI technologies onto classified datasets.