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31 articles
Configure a quiet, efficient Linux desktop environment similar to the System76 Thelio Mira with optimized performance and productivity tools.
Google is reportedly developing a new AI chip designed to make its Gemini models run much more efficiently. The move aims to enhance performance while reducing operational costs and environmental impact.
This article explains how AI-driven design optimization enables Tesla to create innovative vehicle configurations like the six-seat Model Y Long Wheelbase through machine learning algorithms and optimization techniques.
Learn how to build and optimize AI inference pipelines using TensorFlow, similar to what companies like Etched are developing for specialized AI chips.
This article explains how AI-driven price optimization works in e-commerce, using Amazon Prime Day SSD deals as an example to illustrate advanced machine learning techniques that dynamically adjust product prices in real-time.
This explainer explores NVIDIA's cuTile, a tile-based GPU programming interface that simplifies high-performance kernel development for compute-intensive tasks like matrix operations, while maintaining performance close to hand-optimized CUDA code.
Linux veteran shares eight essential optimization techniques for Zorin OS that can dramatically improve system performance and user experience.
This article explains how modern Linux desktop optimization uses machine learning and predictive algorithms to enhance system performance and user experience. It covers the technical implementation of adaptive resource management and intelligent scheduling systems.
Learn how to optimize gaming performance on high-end laptops like the Alienware 16 Area-51 using NVIDIA GPU tools, power management, and system tuning techniques.
This article explains how AI-powered dynamic pricing systems work behind the scenes of retail sales like Memorial Day Apple deals, demonstrating advanced machine learning techniques in real-world business applications.
This explainer explores how Samsung's AI-driven monitor bundling strategy leverages machine learning algorithms to optimize sales and customer acquisition through dynamic promotional offers.
This article explains how Stochastic Gradient Descent (SGD) creates a frequency bias in language models, where common words are learned better than rare ones. It shows how Adam optimizer improves this by giving more attention to rare tokens.
