René's URL Explorer Experiment


Title: ArkS0001 (Aakarshit Srivastava) · GitHub

Open Graph Title: ArkS0001 - Overview

X Title: ArkS0001 - Overview

Description: Aim to enhance the quality of life through intelligent systems and advanced automation @Perfect-Cube - ArkS0001

Open Graph Description: Aim to enhance the quality of life through intelligent systems and advanced automation @Perfect-Cube - ArkS0001

X Description: Aim to enhance the quality of life through intelligent systems and advanced automation @Perfect-Cube - ArkS0001

Mail addresses
shubh26002@gmail.com

Opengraph URL: https://github.com/ArkS0001

X: @github

direct link

Domain: patch-diff.githubusercontent.com

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@Perfect-Cubehttps://github.com/Perfect-Cube
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https://perfect-cube.github.io/Perfect-Cube/https://perfect-cube.github.io/Perfect-Cube/
https://orcid.org/0009-0001-1601-6053https://orcid.org/0009-0001-1601-6053
@AakarshitSriva3https://twitter.com/AakarshitSriva3
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https://patch-diff.githubusercontent.com/ArkS0001#-publications
QWhale & SARSAWhale Hybrid Reinforcement Learning Algorithm for Energy Efficient Optimization and Schedulinghttps://medium.com/@arks0001/qwhale-hybrid-reinforcement-learning-algorithm-for-energy-efficient-optimization-and-scheduling-61e9375ddaa0
QWhale and SARSAWhale: Energy-Efficient and Energy-Aware Algorithms for High-Load Cloud Environmentshttps://doi.org/g82gwq
Crystal Quantum Shield (CQS): A Post-Quantum Cybersecurity Framework for API and Data Protectionhttps://doi.org/g86w87
Understanding Quantum Processing Units (QPUs): The Future of Computinghttps://medium.com/@arks0001/understanding-quantum-processing-units-qpus-the-future-of-computing-cb459a4d5d75
Balancing Energy Efficiency and Performance in Modern Processing Units: CPU, GPU, DPU, TPU, NPU, VPU, and QPUhttps://medium.com/@arks0001/energy-temperature-performance-trade-off-in-processing-units-cpu-gpu-dpu-tpu-npu-vpu-qpu-cd8eecc33a7f
Comparative Analysis of TPUs and CPUs: Specialized Efficiency vs. Versatile Performancehttps://arks0001.medium.com/comparative-analysis-of-tpus-and-cpus-specialized-efficiency-vs-versatile-performance-79389986a717
Liquid Neural Networks: Real-Time Adaptability and Temporal Processing Excellencehttps://medium.com/@arks0001/liquid-neural-networks-real-time-adaptability-and-temporal-processing-excellence-781e2448a1fb
Nuclear Fusion Dynamics: Reinforcement Learning and LLMs for Plasma Stability Optimizationhttps://arks0001.medium.com/nuclear-fusion-dynamics-reinforcement-learning-and-llms-for-plasma-stability-optimization-98e0a3173128
Scaling New Heights: LLaMA 3.1 405 B and H100 Tensor GPUshttps://medium.com/@arks0001/scaling-new-heights-llama-3-1-405-b-and-h100-tensor-gpus-da028f657b3c
Exploring Mesop: A Comprehensive Python Web Framework Beyond Streamlit for AI and ML Applicationshttps://arks0001.medium.com/exploring-mesop-a-comprehensive-python-web-framework-beyond-streamlit-for-ai-and-ml-applications-78dd91c3d3ae
Qwen/QwQ-32B vs GPT-O1 and Sonnet: What’s Different?https://arks0001.medium.com/qwen-qwq-32b-whats-different-c3a53c400e33
NVIDIA Triton Inference Serverhttps://arks0001.medium.com/nvidia-triton-inference-server-d51e96df71f5
GenAI WHEN ? True AI !https://medium.com/@arks0001/genai-when-true-ai-f9e60097be21
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