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USGIF Releases New White Paper: The Evolving Role of Synthetic Data in GEOINT Tradecraft 

insideBIGDATA

Recent advancements in AI have created many opportunities in the GEOINT field, not only by improving imagery analysis techniques, but also by creating synthetic training data for AI algorithms to work more efficiently and accurately.

Algorithm 195
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Deep Learning Tools Could Compound Returns on Technical Analysis Trading

Smart Data Collective

The majority of machine learning and deep learning solutions have focused on fundamental analysis of securities. However, deep learning and other artificial intelligence technologies will also change the future of technical analysis as well. New developments in deep learning with technical analysis.

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The 2021 Executive Guide To Data Science and AI

Applied Data Science

This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. This allows for a much richer interpretation of predictions, without sacrificing the algorithm’s power.

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Leveraging Generative AI in Genomics with IBM’s watsonx Platform

IBM Data Science in Practice

Genetic Data Analysis : Advanced AI techniques, such as deep learning, are used to analyze complex genetic data, providing deeper insights into genetic variations and their implications. Scalability : Handling the massive scale of genomic data requires robust infrastructure and efficient algorithms.

AI 100
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Meet the Final Winners of the U.S. PETs Prize Challenge

DrivenData Labs

Modeling ¶ Most teams experimented with a variety of modeling algorithms, and many noted that the privacy techniques in their solutions could be paired with more than one family of machine learning models. We are excited to take on this challenge and continue pushing the boundaries of machine learning research.