NVIDIA’s rise from graphics card specialist to the most closely watched company in artificial intelligence rests on a ...
According to @JeffDean, Google Research has released a comprehensive overview of major AI advancements achieved in 2024, highlighting breakthroughs in generative models, generative user interfaces, ...
Microsoft has revealed it has collaborated with Ciena to define a blueprint for what it calls a zero-trust tiered optical network architecture. In a white paper explaining the nature of the ...
TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...
Abstract: Evolutionary neural architecture search (ENAS) is an approach to automating network architecture design. A primary challenge of ENAS is the demand for expensive computational resources, and ...
Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...
Alzheimer's Disease (AD), a leading neurodegenerative disorder, presents significant global health challenges. Advances in graph neural networks (GNNs) offer promising tools for analyzing multimodal ...
Major depressive disorder (MDD) is one of the most common mental disorders, with significant impacts on many daily activities and quality of life. It stands as one of the most common mental disorders ...