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Scaling de-duplication in WorldCat: Balancing AI innovation with cataloging care | OCLC

Flipboard

AI-powered de-duplication offers an innovative way to scale this work quickly and efficiently, but its success depends on human expertise. At OCLC, we’ve invested resources into a hybrid approach, leveraging AI to process vast amounts of data while ensuring catalogers and OCLC experts remain at the center of decision-making.

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Algorithmic biases – Is it a challenge to achieve fairness in AI?

Data Science Dojo

A study by the Equal Rights Commission found that AI is being used to discriminate against people in housing, employment, and lending. Just like people, Algorithmic biases can occur sometimes. Well, think of AI as making those characters. That’s what happens in AI. What is AI bias? Thinking why?

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Generative vs Discriminative AI: Understanding the 5 Key Differences

Data Science Dojo

In the recent discussion and advancements surrounding artificial intelligence, there’s a notable dialogue between discriminative and generative AI approaches. These methodologies represent distinct paradigms in AI, each with unique capabilities and applications. What is Generative AI?

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Google AI

Dataconomy

Google AI is at the forefront of driving innovation in artificial intelligence, shaping how we interact with technology every day. By harnessing machine learning, natural language processing, and deep learning, Google AI enhances various products and services, making them smarter and more user-friendly. What is Google AI?

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AI art

Dataconomy

AI art has emerged as a fascinating intersection of creativity and technology, transforming how we think about artistic expression. Through various machine learning techniques, artists and non-artists alike can harness the power of algorithms to generate unique visual and auditory experiences. What is AI art?

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Predictive analytics vs. AI: Why the difference matters in 2023?

Data Science Dojo

Artificial Intelligence (AI) and Predictive Analytics are revolutionizing the way engineers approach their work. This article explores the fascinating applications of AI and Predictive Analytics in the field of engineering. Read more –> Data Science vs AI – What is 2023 demand for?

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Inductive biases of neural network modularity in spatial navigation

ML @ CMU

Motivation Despite the tremendous success of AI in recent years, it remains true that even when trained on the same data, the brain outperforms AI in many tasks, particularly in terms of fast in-distribution learning and zero-shot generalization to unseen data. 2018 ) to enhance training (see Materials and Methods in Zhang et al.,

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