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Di medan perang ada banyak sisa bom yang tidak meledak namun masih tetap potensi berbahaya. Untuk itu ada yang membuat algoritma pendeteksi bom tersebut dengan machine learning. Sumber: https://vframe.io/9n235/

Permasalahan:setiap kali menjalankan ‘apt’, muncul pesan error Kemungkinan tampilan kesalahan lain yang serupa Penyebab: ada masalah di file-file debconf, sehingga apt tidak dapat berfungsi baik Solusi: install ulang perl-base dengan perintah berikut: Referensi: https://unix.stackexchange.com/questions/690048/debconf-broken-cant-update-install-or-fix-any-package-anymore

Tips membuat bump chart sumber: https://towardsdatascience.com/create-bump-charts-with-matplotlib-431b0e6fcb90 Sumber: https://www.flerlagetwins.com/2017/01/my-thoughts-on-bump-charts-and-when-to_45.html Sumber: https://stackoverflow.com/questions/68095438/how-to-make-a-bump-chart

Pengukuran penggunaan energi pada prosesor AMD dapat menggunakan software uProfhttps://www.amd.com/en/developer/uprof.html Software uProf untuk Linux: https://download.amd.com/developer/eula/uprof/amduprof_4.0-341_amd64.deb Prosedur Instalasi: apt install bccdpkg -i amduprof_4.0-341_amd64.deb Optimized C compiler untuk AMD: AOCC (AMD Optimizing C/C++ and Fortran Compilers) AOCC archive https://developer.amd.com/aocc-archive-section/ https://www.amd.com/en/developer/aocc.html Referensi Wikipedia AMD Optimizing C/C++ Compiler  

Pilihan compiler untuk prosesor AMD Referensi

FlexGen is a high-throughput generation engine for running large language models with limited GPU memory (e.g., a 16GB T4 GPU or a 24GB RTX3090 gaming card!). This is a research project developed by HazyResearch@Stanford, SkyComputing@UC Berkeley, DS3Lab@ETH Zurich, CRFM@Stanford, and TogetherCompute. More: https://github.com/FMInference/FlexGen

PyGWalker can simplify your Jupyter Notebook data analysis and data visualization workflow. By turning your pandas dataframe into a Tableau-style User Interface for visual exploration. More: https://github.com/Kanaries/pygwalker

This work presents Kornia – an open source computervision library which consists of a set of differentiable rou-tines and modules to solve generic computer vision prob-lems. The package uses PyTorch as its main backend bothfor efficiency and to take advantage of the reverse-modeauto-differentiation to define and compute the gradient ofcomplex functions. Inspired by OpenCV, Kornia…