Sorry, your browser is not compatible with this application. Please use the latest version of Google Chrome, Mozilla Firefox, Microsoft Edge or Safari.
Machine Learning content
A Machine Learning Approach for Counting Language...
To help enforce the Voting Rights Act, the U.S. Census Bureau must estimate how many voting-age citizens struggle with English in jurisdictions across the country. Traditional statistical models used in…
Learn More
AI-Powered Medical Record Analysis: Faster and...
Empower AI’s on-premise accelerator uses advanced AI, including Retrieval-Augmented Generation (RAG), to dramatically speed up and improve the accuracy of medical record analysis within secure federal environments. Designed for complex,…
Learn More
Putting Explainable AI to the Test: A Critical...
As AI-powered recommendation systems become more embedded in everyday decisions, ensuring their transparency and trustworthiness is critical. A recent CSET report examines how researchers evaluate AI explainability, revealing inconsistencies in…
Learn More
Supervisory Highlights: Advanced Technologies...
The rapid adoption of AI and machine learning in financial decision-making comes with both opportunities and risks. A recent CFPB report highlights how advanced credit scoring models, used by lenders,…
Learn More
Staying Current with Emerging Technology Trends:...
Emerging technologies evolve at a staggering pace, and staying ahead demands innovative approaches. Leveraging big data and machine learning, organizations can identify pivotal research clusters and trends that influence global…
Learn More
Secure and Transparent Generative AI
Trellis Secure Chat (TSC) has been designed to overcome the challenges of leveraging generative artificial intelligence across sensitive knowledge-based and diverse data sets. It can connect to disparate data sources,…
Learn More
Trellis Secure Speech: Translation and...
It is now common to use voice commands for everyday tasks yet the adoption of AI driven speech-to-text in many critical sectors still lags due to trust concerns. Trellis Data…
Learn More
Trellis Secure Vision: Object Detection and Facial...
Trellis Data are trusted providers of tailored artificial intelligence driven object detection. They bring experience in large-scale, real-life applications, including facial recognition, bio-security and analyzing security or border imagery (including…
Learn More
Utilizing AI/ML in FICAM Environments
Federal agencies aim to ensure proper authentication and authorization of entities accessing resources in federal identity, credential, and access management environments with a need-to-know. With Zero Trust guidance and policy…
Learn More
Face Analysis Technology Evaluation: Age...
Age assurance applications can employ either an age verification (AV) algorithm that produces a yes or no guess at whether someone is above an age threshold, or an age estimation…
Learn More
Trellix Wise: GenAI for Your Biggest Security...
The same problems seem to face security teams every year—missed threats, growing alert volumes, and talent gaps. Trellix Wise helps customers transform their security operations through analytics, AI, and automation.…
Learn More
Machine Learned Atmospheric Force Model Trained...
For objects orbiting in Low Earth Orbit (and in the absence of maneuvers), the atmospheric drag force is the dominant perturbation force that affects the trajectory over time. Thus, accurately…
Learn More
Artificial Intelligence & Medical Products: How...
The complex and dynamic processes involved in the development, deployment, use, and maintenance of AI technologies benefit from careful management throughout the medical product life cycle. Specifically, end-to-end management of…
Learn More
Pioneering the Path to Edge AI Advancement: A New...
Gigantor presents an innovative solution called GigaMAACS, which revolutionizes the future of artificial intelligence (AI). Hardware limitations have hindered inference models, impeding their ability to operate flawlessly in real-time. With…
Learn More
Emerging Technologies 2024 Vision Report
Co-innovation and collaboration across industries and disciplines are vital to bridging the gap between research and the real world — so innovators can keep pushing boundaries and solving complex engineering…
Learn More