Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.

GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

The AI-driven stock market rally faces key restraints. Here's what investors can't ignore when they think about the future of ...

Based is an efficient architecture inspired by recovering attention-like capabilities (i.e., recall). We do so by combining 2 simple ideas: Short sliding window attention (e.g., window size 64), to ...

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Amazon announces a comprehensive expansion of its Nova portfolio with four new models, a pioneering "open training" service that empowers organizations to build their custom model variants with Nova, ...

Abstract: A time-space (TS) traffic diagram, which presents traffic states in time-space cells with color, is an important traffic analysis and visualization tool. Despite its importance for ...

Abstract: We present a novel data-driven Parametric Linear Blend Skinning (PLBS) model meticulously crafted for generalized 3D garment dressing and animation. Previous data-driven methods are impeded ...