Exploring Mesop: A Comprehensive Python Web Framework Beyond Streamlit for AI and ML ApplicationsToday, I discovered Mesop, a Python-centric web framework developed by Google. As someone who has previously used Streamlit for building ML…Aug 4Aug 4
Scaling New Heights: LLaMA 3.1 405 B and H100 Tensor GPUsLLaMA 3.1, developed by Meta, represents a significant advancement in the series of large language models designed to push the boundaries…Jul 25Jul 25
Nuclear Fusion Dynamics: Reinforcement Learning and LLMs for Plasma Stability OptimizationNuclear fusion holds immense potential as a sustainable and nearly limitless source of energy. However, achieving practical and stable…Jul 24Jul 24
Liquid Neural Networks: Real-Time Adaptability and Temporal Processing ExcellenceLiquid Neural Networks, also known as Liquid State Machines (LSMs), represent a fascinating and emerging area in the field of artificial…Jul 20Jul 20
Comparative Analysis of TPUs and CPUs: Specialized Efficiency vs. Versatile PerformanceWhen comparing Tensor Processing Units (TPUs) and Central Processing Units (CPUs), it is essential to consider their distinct purposes…Jul 20Jul 20
QWhale & SARSAWhale Hybrid Reinforcement Learning Algorithm for Energy Efficient Optimization and…Authors: Aakarshit Srivastava, Bhaskar Banerjee, Ayush VermaJul 171Jul 171
Understanding Quantum Processing Units (QPUs): The Future of ComputingA Quantum Processing Unit (QPU) is a specialized processor designed to perform quantum computations. Unlike classical processors that use…Jul 2Jul 2
Balancing Energy Efficiency and Performance in Modern Processing Units: CPU, GPU, DPU, TPU, NPU…The correlation between energy consumption, temperature, and performance in CPUs is a critical aspect of computer engineering and system…Jul 1Jul 1
