Machine Learning content

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…

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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,…

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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…

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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…

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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…

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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…

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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.…

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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…

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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…

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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…

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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…

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Artificial intelligence (AI) systems are on a global multi-year accelerating expansion trajectory. These systems are being developed by and widely deployed into the economies of numerous countries, leading to the…

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The data deluge is rapidly accelerating, posing a challenge for Federal agencies. Without secure storage solutions, they can’t harness emerging technologies like AI and machine learning for innovation, impede cyber…

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Today’s business leaders face unprecedented challenges. Rarely has the world changed so much so quickly. In just the past few years, how people do business and interact every day has…

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This paper develops a new method for valuing land, a key asset on a nation’s balance sheet. The method first employs an unsupervised machine learning method, which means clustering, to…

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