NEWS IN BRIEF: AI/ML FRESH UPDATES

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Unleash the Power of LDA: A Practical Guide to Efficient Topic Modeling

Discover the power of Latent Dirichlet Allocation (LDA) for efficient topic modeling in machine learning and data science. Learn how LDA can be applied beyond text data, such as in online shops and clickstream analysis, and how it can be integrated with other probabilistic models for personalized recommendations.

Simplifying Matrix Inverse with SVD Decomposition in C#

The article discusses the implementation of matrix inverse using singular value decomposition (SVD) in C#. The main highlights include the refactoring of the MatInverseSVD() function and the various algorithms and variations used for matrix inverse.

Exploited 0-Days in Ivanti VPN: A Backdoor to Network Compromise

Unknown threat actors are actively targeting two critical zero-day vulnerabilities in Ivanti's widely used virtual private network appliance, allowing them to bypass two-factor authentication and execute malicious code. The vulnerabilities, tracked as CVE-2023-846805 and CVE-2024-21887, make it easy for attackers to run commands on the system and carry out various malicious activities.

Scaling New Heights: A Visual Journey of Everest Expeditions

The article discusses an end-to-end data visualization project, with a focus on design. It highlights the authors of the book Data Sketches, who explain the process behind their visualizations. The article also mentions the use of The Himalayan Database to access mountaineering data for the project.

OpenAI Reveals: AI Models Impossible Without Copyrighted Material

OpenAI has acknowledged the necessity of using copyrighted material in developing AI tools like ChatGPT, stating that it would be "impossible" without it. The practice of scraping content without permission has come under scrutiny as AI models like ChatGPT and DALL-E rely on large quantities of training data from the public Internet.