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How Generative is AI for Content Creation revolutionizing the industry?

How to Learn Machine Learning

By automating blog writing, social media posts, ad copy, and white papers-generative-AI has transformed content creation industries. Generative AI can be modeled using very complex machine learning algorithms based on the GAN, VAE, or Transformer principles, e.g., GPT. How Does Generative AI Work?

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Data Literacy for Responsible AI: Algorithmic Bias

DataRobot

As artificial intelligence secures its position in the public sphere, consumers expect companies to use the maturing technology ethically and responsibly. But as the technology’s popularity grows, a number of concerning examples have emerged of AI models operating with algorithmic bias.

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Deep Learning Tools Could Compound Returns on Technical Analysis Trading

Smart Data Collective

. Artificial intelligence is upending the financial management industry in spectacular ways. However, deep learning and other artificial intelligence technologies will also change the future of technical analysis as well. Artificial intelligence and deep learning are likely to rewrite the script on technical analysis.

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How Machine Learning Enhances Momentum of Cryptocurrency Price Movements

Smart Data Collective

A number of new predictive analytics algorithms are making it easier to forecast price movements in the cryptocurrency market. Interestingly, nearly 200 hedge funds began specializing in cryptocurrency trading in the 12 months before that white paper was published. A lot of follow up studies have reached similar conclusions.

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Data Literacy for Responsible AI: Governance and Accountability

DataRobot

At the organizational level, artificial intelligence represents the potential for major, novel gains. For companies implementing AI systems, that risk extends beyond revenue to the reputational damage of using an algorithm that is perceived to be discriminatory or harmful to vulnerable groups. White Paper.

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Judicial systems are turning to AI to help manage its vast quantities of data and expedite case resolution

IBM Journey to AI blog

Efforts to further expand the use of emerging technologies to address this ongoing need put responsible artificial intelligence (AI) at the center of possible solutions. The algorithm preserved the case history and gave users a comprehensive view of all the information for the case and where it originated.

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Leveraging Generative AI in Genomics with IBM’s watsonx Platform

IBM Data Science in Practice

Introduction In the field of genomics, artificial intelligence (AI) is becoming a true game-changer. Generative AI, a subset of artificial intelligence that focuses on generating new data from existing datasets, holds immense potential in genomics. Co-authored by Rakshith Dasenahalli Lingaraju and Richard Williams.

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