NEWS IN BRIEF: AI/ML FRESH UPDATES

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Unlocking Matrix Magic: QR Decomposition in C#

The article in Microsoft Visual Studio Magazine discusses the implementation of matrix inverse using the Householder version of the QR algorithm in C#. The demo includes a small matrix example and verifies the result by computing the inverse multiplied by the original matrix.

Unlocking the Complexity: Four Algorithms for Matrix Inverse in C#

The article discusses the challenges of implementing matrix inversion code and presents a demo of four different C# functions using various algorithms. The author emphasizes the complexity and flexibility of the LUP, QR, and SVD algorithms, as well as the specific use case of the Cholesky algorithm.

Revolutionizing Sustainable Innovation: Atacama Biomaterials' Journey

Atacama Biomaterials, a startup combining architecture, machine learning, and chemical engineering, develops eco-friendly materials with multiple applications. Their technology allows for the creation of data and material libraries using AI and ML, producing regionally sourced, compostable plastics and packaging.

Balancing Exploration and Exploitation: A Dashboard Strategy for Analytics Managers

Developers of open world video games and analytics managers both face the challenge of balancing exploration and exploitation. To solve this tension, they can build alternative paths, offer knowledge management systems, foster online communities, and make continuous improvements. Salespeople, like gamers, have main quests in the form of specific metrics they need to track, so creating simple an...

Unveiling the 'Black Box': AI in Health and FDA Approval

The MIT Abdul Latif Jameel Clinic for Machine Learning in Health discussed whether the "black box" decision-making process of AI models should be fully explained for FDA approval. The event also highlighted the need for education, data availability, and collaboration between regulators and medical professionals in the regulation of AI in health.