NEWS IN BRIEF: AI/ML FRESH UPDATES

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Effortless k-NN Regression in C#

Summary: Microsoft Visual Studio Magazine's November 2024 edition features a demo of k-NN regression using C#, known for simplicity and interpretability. The technique predicts numeric values based on closest training data, with a demo showcasing accuracy and prediction process.

AI Jesus: The Future of Faith?

Peter’s chapel in Lucerne replaces priest with AI Jesus speaking 100 languages. Theologian Marco Schmid calls it an experiment to gauge public interest and reactions.

AI Pets: A Fluffy Replacement?

Casio's Moflin AI companion robot builds relationships without needing food or a litter tray. Priced at £300, it aims to comfort or alienate its owners.

Mastering Data-Driven Customer Management

Building a CBM System can optimize pricing, predict future revenue, and enhance decision-making through ELT, Churn Modelling, and Dashboards. Advanced modules can further boost value generation, giving your company a competitive edge.

Nvidia: Unstoppable Growth in AI Chips

Nvidia, the AI chipmaker, impresses investors with $35bn revenue in latest quarterly results, projecting 70% growth ahead. Profits more than double year-over-year, with a 94% surge in revenue from the previous year.

Failing Forward: The Data & AI Dilemma

Jens demystifies data strategy, emphasizing the importance of effective business strategy for successful data monetization and competitiveness in the digital world. Organizations must invest in designing business strategies before making data-related choices throughout the entire organization.

DOJ Targets Google: Chrome Browser Sell-Off

US authorities aim to break Google's search market monopoly by forcing the sale of Chrome browser, signaling a major intervention in the tech industry. Department of Justice considers structural remedies to prevent Google from leveraging its products, including AI and Android.

Dreaming Robots: A Path to Learning?

MIT CSAIL researchers developed LucidSim, using generative AI and physics simulators to train robots in diverse virtual environments, bridging the sim-to-real gap in robot learning. The idea sparked outside a Cambridge taqueria, leading to a breakthrough in creating expert-level robot performance without real-world data.