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  • Understanding Data Types in AI and HPC: Int8, FP8, FP16, BF16, BF32, FP32, TF32, FP64, and Hardware Accelerators

    Understanding Data Types in AI and HPC: Int8, FP8, FP16, BF16, BF32, FP32, TF32, FP64, and Hardware Accelerators

    In the domains of Artificial Intelligence (AI) and High-Performance Computing (HPC), the proficient management of data types such as Int8, FP8, FP16, BF16, BF32, FP32, TF32, and FP64 is essential for performance optimisation. The advancement of contemporary hardware accelerators like as NVIDIA H100, Intel Gaudi3, and AMD MI300 has markedly enhanced the processing of these…


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

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

    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…


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

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

    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,…