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  • The End of Programming as We Know It

    Join the O'Reilly online learning platform. Get a free trial today and find answers on the fly, or master something new and useful. Learn more Betty Jean Jennings and Frances Bilas (right) program the ENIAC in 1946. Via the Computer History Museum Eventually, interpreted languages, which are much easier to debug, became the norm. BASIC, one of the first of these to hit the big time, was at first s

      The End of Programming as We Know It
    • Continuous reinvention: A brief history of block storage at AWS

      Continuous reinvention: A brief history of block storage at AWSAugust 22, 2024 • 4802 words Marc Olson has been part of the team shaping Elastic Block Store (EBS) for over a decade. In that time, he’s helped to drive the dramatic evolution of EBS from a simple block storage service relying on shared drives to a massive network storage system that delivers over 140 trillion daily operations. In thi

        Continuous reinvention: A brief history of block storage at AWS
      • Algorithms for Modern Hardware - Algorithmica

        This is an upcoming high performance computing book titled “Algorithms for Modern Hardware” by Sergey Slotin. Its intended audience is everyone from performance engineers and practical algorithm researchers to undergraduate computer science students who have just finished an advanced algorithms course and want to learn more practical ways to speed up a program than by going from O(nlog⁡n)O(n \log

        • Replicate ChatGPT Training Quickly and Affordable with Open Source Colossal-AI

          February 14, 2023 Replicate ChatGPT Training Quickly and Affordable with Open Source Colossal-AI We recently released new open source code for Colossal-AI, which enables you to use it as a framework for replicating the training process of OpenAI’s popular ChatGPT application optimized for speed and efficiency. With Colossal-AI's efficient implementation of RLHF (Reinforcement Learning with Human F

            Replicate ChatGPT Training Quickly and Affordable with Open Source Colossal-AI
          • Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog

            AI is here, AI is everywhere: Top companies, governments, researchers, and startups are already enhancing their work with Google's AI solutions. Published April 12, 2024; last updated October 9, 2025. A year and a half ago, during Google Cloud Next 24, we published this list for the first time. It numbered 101 entries. It felt like a lot at the time, and served as a showcase of how much momentum b

              Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog
            • 文系学部卒でも無条件で不合格にならないアメリカのオンラインコンピューターサイエンス修士コースを調べ、出願校を決めた|Toshinori Sugita

              出願校最初の出願校は、ジョージア工科大学のOMSCSになりそうだ。履修できる授業の種類、オンラインコースの懐の深さ(合格率の高さ)(、費用)が主な理由だ。 前回の記事を書いた時点では、ペンシルバニア大学のMCITがベストではないかと考えていた。 しかし、他の選択肢を十分検討していなかったので、候補になり得るコースをリストアップして比較した。特に気にしたのは、つぎの点だ。 ・文系学士が無条件でNGにならない ・CS推奨であっても、テストやMOOCs受講、業務経験などでなんとかなる ・アメリカ(最初の候補として。イギリスやオーストラリアがダメというわけでは全然ないが、英語で学ぶことを前提としたい) ・授業(基礎、分散システム、その他機械学習、データサイエンスなど共通理解になり得るものが選択できる) ・出願要件の具体的な数字(英語テスト、書類、出願期限) ・合格率(オンラインはオンキャンパスと比

                文系学部卒でも無条件で不合格にならないアメリカのオンラインコンピューターサイエンス修士コースを調べ、出願校を決めた|Toshinori Sugita
              • Where Programming, Ops, AI, and the Cloud are Headed in 2021

                In this report, we look at the data generated by the O’Reilly online learning platform to discern trends in the technology industry—trends technology leaders need to follow. But what are “trends”? All too often, trends degenerate into horse races over languages and platforms. Look at all the angst heating up social media when TIOBE or RedMonk releases their reports on language rankings. Those repo

                  Where Programming, Ops, AI, and the Cloud are Headed in 2021
                • Digital, digital and digital

                  戦略ファーム時代に読んだ700冊程度の本をまとめています*随時更新 戦略ファーム時代に読んだ700冊程度の本をまとめています I. 戦略 企業参謀 https://amzn.to/44iKVxM 当初、いまいち戦略というものが掴めきれず迷子になっていた時に「大前研一はこれだけ読め」と教わった本。大量に出ている他の大前本を読まなくて済むのが見過ごせない大きな価値 戦略サファリ 第2版 https://amzn.to/3csZg0t 経営戦略の本を読み漁るも、実プロジェクトの方が全くもって学びになるという普通の感想をもち、俯瞰での戦略論を求めるようになる。いやあ懐かしい 企業戦略論【上】基本編 競争優位の構築と持続 Jay Barney https://amzn.to/3dJjVxB 任天堂の戦略の妙に気が付きはじめ、ベースか似通ったものはないだろうかと思うようになった時にJay Barney

                    Digital, digital and digital
                  • The Best GPUs for Deep Learning in 2023 — An In-depth Analysis

                    Deep learning is a field with intense computational requirements, and your choice of GPU will fundamentally determine your deep learning experience. But what features are important if you want to buy a new GPU? GPU RAM, cores, tensor cores, caches? How to make a cost-efficient choice? This blog post will delve into these questions, tackle common misconceptions, give you an intuitive understanding

                      The Best GPUs for Deep Learning in 2023 — An In-depth Analysis
                    • Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics

                      Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics Michael Armbrust1, Ali Ghodsi1,2, Reynold Xin1, Matei Zaharia1,3 1Databricks, 2UC Berkeley, 3Stanford University Abstract This paper argues that the data warehouse architecture as we know it today will wither in the coming years and be replaced by a new architectural pattern, the Lakehouse, which will

                      • Fugu-MT: arxivの論文翻訳(概要)

                        このサイトではarxivで発表された論文のメタデータを翻訳しています。(arxivのメタデータは CC 0です) このページではメタデータの要約を表示しています。日付別の要約一覧から 日付別の要約を参照できます。表示をカスタマイズからスコアでのソートや検索が可能です。 要約前のデータは翻訳状況、 日付別の論文一覧から参照できます。 翻訳文のライセンスはCC BY-SA 4.0です。 翻訳にはFugu-Machine Translatorを利用しています。 本サイトの運営者(Satoshi Takahashi)は本サイト(すべての情報・翻訳含む)の品質を保証せず、本サイト(すべての情報・翻訳含む)を使用して発生したあらゆる結果について一切の責任を負いません。 論文検索: 技術的な詳細は開発者のBlogで紹介します。 公開日: 20250903 の論文要約A theoretical frame

                        • https://deeplearningtheory.com/PDLT.pdf

                          The Principles of Deep Learning Theory An Effective Theory Approach to Understanding Neural Networks Daniel A. Roberts and Sho Yaida based on research in collaboration with Boris Hanin drob@mit.edu, shoyaida@fb.com ii Contents Preface vii 0 Initialization 1 0.1 An Effective Theory Approach . . . . . . . . . . . . . . . . . . . . . . . . 2 0.2 The Theoretical Minimum . . . . . . . . . . . . . . . .

                          • Ubuntu 24.04 LTS (Noble Numbat) Release Notes

                            Noble Numbat Release Notes Table of Contents Introduction New features in 24.04 LTS Known Issues Official flavours More information Introduction These release notes for Ubuntu 24.04 LTS (Noble Numbat) provide an overview of the release and document the known issues with Ubuntu and its flavours. For details of the changes applied since 24.04, please see the 24.04.2 change summary. Support lifespan

                            • We reverse-engineered Flash Attention 4

                              This blog post made the front page of HackerNews! Discussion here. This blog post was presented to the GPU MODE Discord! Watch the recording here. One month ago at Hot Chips, Tri Dao presented preliminary results on Flash Attention 4, the latest addition to the Flash Attention series of CUDA kernels. These kernels are used in the attention layers of Transformer neural networks. Along with more sta

                                We reverse-engineered Flash Attention 4
                              • Data Engineer: Interview Questions

                                Here is a list of common data engineering interview questions, with answers, which you may encounter for an interview as a data engineer. The questions during an interview for a data engineer aim to check not only the grasp of data systems and architectures but also a keen understanding of your technical prowess and problem-solving skills. This article lists essential interview questions and answe

                                  Data Engineer: Interview Questions
                                • Automated model refresh with streaming data | Amazon Web Services

                                  Artificial Intelligence Automated model refresh with streaming data In today’s world, being able to quickly bring on-premises machine learning (ML) models to the cloud is an integral part of any cloud migration journey. This post provides a step-by-step guide for launching a solution that facilitates the migration journey for large-scale ML workflows. This solution was developed by the Amazon ML S

                                    Automated model refresh with streaming data | Amazon Web Services
                                  • PennyLane on Braket + Progress Toward Fault-Tolerant Quantum Computing + Tensor Network Simulator | Amazon Web Services

                                    AWS News Blog PennyLane on Braket + Progress Toward Fault-Tolerant Quantum Computing + Tensor Network Simulator I first wrote about Amazon Braket last year and invited you to Get Started with Quantum Computing! Since that launch we have continued to push forward, and have added several important & powerful new features to Amazon Braket: August 2020 – General Availability of Amazon Braket with acce

                                      PennyLane on Braket + Progress Toward Fault-Tolerant Quantum Computing + Tensor Network Simulator | Amazon Web Services
                                    • xv6: a simple, Unix-like teaching operating system

                                      xv6: a simple, Unix-like teaching operating system Russ Cox Frans Kaashoek Robert Morris September 6, 2021 2 Contents 1 Operating system interfaces 9 1.1 Processes and memory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 1.2 I/O and File descriptors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 1.3 Pipes . . . . . . . . . . . . . . . . . . . . . . . . . .

                                      • A History of Clojure

                                        71 A History of Clojure RICH HICKEY, Cognitect, Inc., USA Shepherd: Mira Mezini, Technische Universität Darmstadt, Germany Clojure was designed to be a general-purpose, practical functional language, suitable for use by professionals wherever its host language, e.g., Java, would be. Initially designed in 2005 and released in 2007, Clojure is a dialect of Lisp, but is not a direct descendant of any

                                        • A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

                                          111 A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT YIHAN CAO∗, Lehigh University & Carnegie Mellon University, USA SIYU LI, Lehigh University, USA YIXIN LIU, Lehigh University, USA ZHILING YAN, Lehigh University, USA YUTONG DAI, Lehigh University, USA PHILIP S. YU, University of Illinois at Chicago, USA LICHAO SUN, Lehigh University, USA Recen

                                          • GitHub - ComfyUI-Workflow/awesome-comfyui: A collection of awesome custom nodes for ComfyUI

                                            ComfyUI-Gemini_Flash_2.0_Exp (⭐+172): A ComfyUI custom node that integrates Google's Gemini Flash 2.0 Experimental model, enabling multimodal analysis of text, images, video frames, and audio directly within ComfyUI workflows. ComfyUI-ACE_Plus (⭐+115): Custom nodes for various visual generation and editing tasks using ACE_Plus FFT Model. ComfyUI-Manager (⭐+113): ComfyUI-Manager itself is also a cu

                                              GitHub - ComfyUI-Workflow/awesome-comfyui: A collection of awesome custom nodes for ComfyUI
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