The Decline of TensorFlow and the Rise of PyTorch in AI Workloads: A Documented Shift

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TensorFlow, formerly the preeminent deep learning framework created by Google, has been eclipsed in recent years by PyTorch, developed by Facebook AI Research. Previously the unequivocal choice for researchers and corporations, TensorFlow has experienced a slow decrease as PyTorch has emerged as the favoured framework for AI workloads. This transition is seen not only in […]

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Leveraging AI for Enhancing ASD Diagnosis and Therapies – Insights from My Dissertation

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Introduction Autism Spectrum Disorder (ASD) is a multifaceted neurodevelopmental condition marked by a diverse array of symptoms and degrees of severity, impacting communication, behaviour, and social interactions. Diagnosing ASD typically entails a protracted and intricate procedure, characterised by considerable delays that may affect the individual’s developmental progression. Likewise, the accessibility and efficacy of existing therapeutic […]

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Why Enterprises Are Moving Workloads Back to On-Premise Private Cloud for Next-Gen AI

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There has been a clear trend in enterprise IT strategies in recent years, as firms are progressively moving workloads from the public cloud back to on-premise private clouds. The phenomenon known as “cloud repatriation” is particularly noticeable when it comes to advanced workloads such as artificial intelligence (AI) and machine learning (ML). In these cases, […]

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The Impact of Artificial Intelligence on Modern Data Centre Architecture

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The advent of Artificial Intelligence (AI) is causing a profound and fundamental shift in numerous industries around the globe, and the data centre business is a prominent illustration of this transformation. The computing requirements of AI workloads have caused a fundamental change in the design of data centres, requiring substantial adjustments in infrastructure, power needs, […]

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