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Move your machine vision from data to deployment with processes that produce ultra-efficient, lightweight, and secure models at scale |
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Enhancing MLOps for an Efficient Workflow |
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Inference Speed Improvement |
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Accuracy Loss (mAP 0.5) |
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Latent AI Makes Edge AI Workloads More Efficient | TechCrunch |
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Latent AI Named IoT Emerging Company of the Year for the Enterprise Market |
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Jags Kandasamy, Latent AI: “Most enterprises simply lack the expertise to successfully implement AI” |
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Latent AI Adaptive AI Research Featured in Machine Vision and Applications Journal |
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Thales Champions Artificial Intelligence Innovation with the Fourth Season of AI@CENTECH Program |
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Booz Allen’s Velocity Publication Features Latent AI Startup Founders on the Journey to Government |
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Latent AI and the Atlantic Council Explore JADC2 Strategy Objectives with AI |
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Latent AI Selected as xTech Prime Semifinalist Under the Project Linchpin Topic for Encrypted Machine Learning Capabilities |
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Figure Eight Federal Partners with Latent AI to Revolutionize Government Data Labeling and Edge AI Model Optimization |
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Jags Kandasamy joins the Atlantic Council’s Commission on Software-Defined Warfare |
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See how LEIP solves edge MLOps challenges |