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Artificial Intelligence
arXiv (Cornell University)
Extending and Improving Learned CountSketch
2020
A sketching algorithm is a way to solve an optimization problem approximately and in a fraction of the usual time. We consider classical sketching algorithms which first compress data by multiplication with a random matrix. Our work improves and extends the …
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Artificial Intelligence

Intelligence of machines

Artificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals.

High-profile applications of AI include advanced web search engines (e.g., Google Search); recommendation systems (used by YouTube, Amazon, and Netflix); virtual assistants (e.g., Google Assistant, Siri, and Alexa); autonomous vehicles (e.g., Waymo); generative and creative tools (e.g.

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arXiv (Cornell University)
Extending and Improving Learned CountSketch
2020
A sketching algorithm is a way to solve an optimization problem approximately and in a fraction of the usual time. We consider classical sketching algorithms which first compress data by multiplication with a random matrix. Our work improves and extends the paradigm, in which sketch matrices are optimized to yield better expected performance. This technique has only been used for a suboptimal variant of sketched low-rank decomposition (LRD). Our work extends the problem coverage to optimal sketched LRD, least…
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