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Welcome to the wondrous world of TSUBAME 4.0 Supercomputer, where computing power reaches astronomical proportions and dreams of conquering the universe become a (slightly exaggerated) reality. Brace yourself for an epic journey through the depths of this remarkable machine. (toc) #title=(content list)   Technical Details of TSUBAME 4.0 Architecture: x86_64 CPU with CUDA GPU support Computing Performance: 66.8 petaflops in double precision, 952 petaflops in half precision GPUs: 960 NVIDIA H100 Tensor Core GPUs Processors: 240 HPE Cray XD6500 series servers with 4th generation AMD EPYC processors Memory: 768GiB of main memory per computing node Storage: Cray ClusterStor E1000 with 44.2 PB of hard disk-based shared storage and 327 TB of SSD-based high-speed storage Network: NVIDIA Quantum-2 InfiniBand network interface with 100 Gbps connection via SINET6 Software: Support for CUDA and various computational science and technology frameworks Usability: Virtualization technolo...

The Indian Council of Medical Research (ICMR) has recently introduced the country's first ethical guidelines for the application of artificial intelligence (AI) in biomedical research and healthcare. The guidelines are aimed at providing an ethical framework for the development of AI-based tools to benefit all stakeholders. AI in healthcare is largely dependent on data obtained from human participants, and as such, raises concerns related to potential biases, data handling, interpretation, autonomy, risk minimization, professional competence, data sharing, and confidentiality. To address these concerns, the ICMR has developed these guidelines to ensure that ethical principles are considered while developing and deploying AI-based solutions in healthcare.  AI in Biomedical Research and Healthcare The adoption of AI technology in healthcare is rapidly growing in India. However, AI as a data-driven technology has potential ethical challenges, including algorithmic transparency and ...