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
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.
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.
Hive/Software Defined Hardware (SDH)
DMC 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.