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Machine Learning content
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…
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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…
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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…
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Adversarial Machine Learning: A Taxonomy and...
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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Modern Data Storage: The Backbone of Government...
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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Lead the Transformation: How Organizations can get...
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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Business Inferences and Risk Modeling with Machine...
Machine learning becomes truly valuable only when decision-makers begin to depend on it to optimize decisions. Instilling trust in machine learning is critical for businesses in their efforts to interpret…
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For What It’s Worth: Measuring Land Value in the...
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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Structure-Driven Algorithm Design in Optimization...
A textbook property of optimization algorithms is their ability to optimize problems under generic regularity conditions. However, the performance of these fundamental and general-purpose optimization algorithms is often unsatisfactory; indeed,…
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Automation, Artificial Intelligence, and Machine...
This In Focus discusses developments in automated decision-making, artificial intelligence (AI), and machine learning (ML) in consumer loan underwriting. First, it focuses on market developments, and then it discusses the…
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As the Built Environment Changes, AI and Machine...
AI has become an indispensable tool for city governments for planning, emergency services, transportation, utilities, property assessment, inspections, parks and recreation, and other service activities. This article will outline some…
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Health Industry Cybersecurity – Artificial...
The promise of Artificial Intelligence/Machine Learning (AI/ML) comes at a price: artificial intelligence systems, especially those dependent on machine learning (ML), can be vulnerable to intentional attacks that involve evasion,…
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Adversarial Machine Learning: A Taxonomy and...
This NIST AI report develops a taxonomy of concepts and defines terminology in the field of adversarial machine learning (AML). The taxonomy is arranged in a conceptual hierarchy that includes…
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