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  • Open-sourcing Polynote: an IDE-inspired polyglot notebook

    We are pleased to announce the open-source launch of Polynote: a new, polyglot notebook with first-class Scala support, Apache Spark integration, multi-language interoperability including Scala, Python, and SQL, as-you-type autocomplete, and more. Polynote provides data scientists and machine learning researchers with a notebook environment that allows them the freedom to seamlessly integrate our

      Open-sourcing Polynote: an IDE-inspired polyglot notebook
    • AlphaDev discovers faster sorting algorithms

      Impact AlphaDev discovers faster sorting algorithms Published 7 June 2023 Authors Daniel J. Mankowitz and Andrea Michi New algorithms will transform the foundations of computing Digital society is driving increasing demand for computation, and energy use. For the last five decades, we relied on improvements in hardware to keep pace. But as microchips approach their physical limits, it’s critical t

        AlphaDev discovers faster sorting algorithms
      • Better Fbx Importer & Exporter

        Who Don't Need It? If Blender is your only toolchain, you don't need this add-on. Who May Need It?Game developers Who need to import FBX files into Blender and export FBX files to game engines. 3d digital artists Who need to share your 3d artworks to other 3d digital artists who use other 3d softwares, or you want to sell your 3d artworks in various digital markets. What is it?Blender is lack of n

          Better Fbx Importer & Exporter
        • What a typical 100% Serverless Architecture looks like in AWS!

          Talking about serverless architecture goes way beyond Function as a Service (FaaS) like AWS Lambdas. Two of the reasons why Lambdas are so attractive are their auto-scale (in & out) capability and their pay-per-use pricing model. In order to leverage these capabilities and reach the full benefits of a serverless architecture, we need our other infrastructure components to have the same flexibility

            What a typical 100% Serverless Architecture looks like in AWS!
          • AlphaDev discovers faster sorting algorithms

            Impact AlphaDev discovers faster sorting algorithms Published 7 June 2023 Authors Daniel J. Mankowitz and Andrea Michi New algorithms will transform the foundations of computing Digital society is driving increasing demand for computation, and energy use. For the last five decades, we relied on improvements in hardware to keep pace. But as microchips approach their physical limits, it’s critical t

              AlphaDev discovers faster sorting algorithms
            • MLOps guide

              A collection of materials from introductory to advanced. This is roughly the path I’d follow if I were to start my MLOps journey again. Table of contents ML + engineering fundamentals MLOps …. Overview …. Intermediate …. Advanced Career Case studies Bonus ML + engineering fundamentals While it’s tempting to want to get straight to ChatGPT, it’s important to have a good grasp of machine learning, d

              • How to Introduce Composite Primary Keys in Rails

                Opens in a new windowOpens an external siteOpens an external site in a new window Databases are a key scalability bottleneck for many web applications. But what if you could make a small change to your database design that would unlock massively more efficient data access? At Shopify, we dusted off some old database principles and did exactly that with the primary Rails application that powers onl

                  How to Introduce Composite Primary Keys in Rails
                • 歴史・年表でみるAWS全サービス一覧(参考資料編) -アナウンス日、General Availability(GA)の参考URL- - NRIネットコムBlog

                  小西秀和です。 歴史・年表でみるAWS全サービス一覧 -アナウンス日、General Availability(GA)、AWSサービス概要のまとめの記事で参考にしたURLが多すぎるため、こちらに別記事としてまとめました。 AWSサービスの概要など「歴史・年表でみるAWS全サービス一覧」のメインコンテンツは本編を御覧ください。 ただ、見方によってはこの記事の方が面白いかもしれません。 [English Edition] AWS History and Timeline - Almost All AWS Services List, Announcements, General Availability(GA) AWS全サービスの歴史年表に記載したアナウンス日・GA日(一般提供開始日)の参考URL 「What's New」のURL(例:https://aws.amazon.com/about-

                    歴史・年表でみるAWS全サービス一覧(参考資料編) -アナウンス日、General Availability(GA)の参考URL- - NRIネットコムBlog
                  • We Hacked Apple for 3 Months: Here’s What We Found | Sam Curry

                    Between the period of July 6th to October 6th myself, Brett Buerhaus, Ben Sadeghipour, Samuel Erb, and Tanner Barnes worked together and hacked on the Apple bug bounty program. Sam Curry (@samwcyo) Brett Buerhaus (@bbuerhaus) Ben Sadeghipour (@nahamsec) Samuel Erb (@erbbysam) Tanner Barnes (@_StaticFlow_) During our engagement, we found a variety of vulnerabilities in core portions of their infras

                      We Hacked Apple for 3 Months: Here’s What We Found | Sam Curry
                    • Humanness in the Age of AI

                      Humanness in the Age of AIA path to an open and permissionless identity protocol. The Worldcoin project is initiating an open and permissionless identity protocol called World ID. It empowers individuals to verify their humanness online while maintaining their anonymity through zero-knowledge proofs. Advancements in AI make it difficult to distinguish between AI and humans on the internet, highlig

                        Humanness in the Age of AI
                      • Artificial Intelligence Risk Management Framework (AI RMF 1.0)

                        NIST AI 100-1 Artificial Intelligence Risk Management Framework (AI RMF 1.0) NIST AI 100-1 Artificial Intelligence Risk Management Framework (AI RMF 1.0) This publication is available free of charge from: https://doi.org/10.6028/NIST.AI.100-1 January 2023 U.S. Department of Commerce Gina M. Raimondo, Secretary National Institute of Standards and Technology Laurie E. Locascio, NIST Director and Und

                        • Kubernetes Networking: Behind the scenes

                          One of the things I love the most about Kelsey Hightower’s Kubernetes The Hard Way guide— other than it just works (even on AWS!)—is that it keeps networking clean and simple; a perfect opportunity to understand what the role of the Container Network Interface (CNI) is for example. Having said that, Kubernetes networking is not really very intuitive, especially for newcomers… and do not forget “th

                            Kubernetes Networking: Behind the scenes
                          • Patterns for Building LLM-based Systems & Products

                            Patterns for Building LLM-based Systems & Products [ llm engineering production 🔥 ] · 66 min read Discussions on HackerNews, Twitter, and LinkedIn “There is a large class of problems that are easy to imagine and build demos for, but extremely hard to make products out of. For example, self-driving: It’s easy to demo a car self-driving around a block, but making it into a product takes a decade.”

                              Patterns for Building LLM-based Systems & Products
                            • Detect inactive users with the Idle Detection API  |  Capabilities  |  Chrome for Developers

                              How to use the Idle Detection API Feature detection To check if the Idle Detection API is supported, use: if ('IdleDetector' in window) { // Idle Detector API supported } Idle Detection API concepts The Idle Detection API assumes that there is some level of engagement between the user, the user agent (that is, the browser), and the operating system of the device in use. This is represented in two

                              • WebGPU — All of the cores, none of the canvas — surma.dev

                                WebGPU is an upcoming Web API that gives you low-level, general-purpose access GPUs. I am not very experienced with graphics. I picked up bits and bobs of WebGL by reading through tutorials on how to build game engines with OpenGL and learned more about shaders by watching Inigo Quilez do amazing things on ShaderToy by just using shaders, without any 3D meshes or models. This got me far enough to

                                  WebGPU — All of the cores, none of the canvas — surma.dev
                                • Life of a Request — envoy 1.31.0-dev-d1e955 documentation

                                  Life of a Request Below we describe the events in the life of a request passing through an Envoy proxy. We first describe how Envoy fits into the request path for a request and then the internal events that take place following the arrival of a request at the Envoy proxy from downstream. We follow the request until the corresponding dispatch upstream and the response path. Terminology Envoy uses

                                  • Building On-Call Culture at GitHub

                                    EngineeringBuilding On-Call Culture at GitHubGitHub’s engineering group moved from a monolithic, hero-based on-call rotation to a more balanced on-call culture in order to increase our on-call expertise and improve the experience for our customers. As GitHub grows in size and our product offerings grow in number and complexity, we need to constantly evolve our on-call strategy so we can continue t

                                      Building On-Call Culture at GitHub
                                    • React Server Components: the Good, the Bad, and the Ugly

                                      React Server Components bring server-exclusive capabilities to React. I've been using this new paradigm within Next.js 13 and 14, and what follows is my honest assessment of it[1]. I debated not publishing this post because of the way the React community has historically handled criticism. It is only recently that I decided it is important to share my thoughts, especially after seeing that much of

                                      • Help us invent CSS Grid Level 3, aka “Masonry” layout

                                        ContentsWhat is masonry layout?Inventing masonryFour demosCreating a classic masonry / waterfall layoutLeveraging Grid’s full power to define columnsLeveraging Grid’s ability to let content span columnsColumnar vs. Modular GridsUsing subgrid and explicit placementThe DebateWhat is a grid?We want to hear from youP.S. About the name… If you’ve been making websites for years, you know how frustrating

                                          Help us invent CSS Grid Level 3, aka “Masonry” layout
                                        • 臨床診断支援AIの歴史から症状チェッカーの今後を展望する―エキスパートシステムから大規模言語モデルまで

                                          Ubie Discovery で機械学習エンジニアをしている @hagino3000 です。医療用AIの歴史および動向をキャッチアップするために調査した内容をまとめました。特に画像を入力として診断支援を行なうAIと比較して、自然言語で表現された自覚症状などを入力とするものを構築する上での課題に焦点をあてています。 Keywords: コンピューター支援診断システム(Computer Aided Diagnosis: CAD), Medical Diagnostic Systems, 症状チェッカー(Symptom Checker), 機械学習(ML), 自然言語処理(NLP) 背景 現在、医療用AIが最も成功を収めている領域は画像診断です。X線・内視鏡・皮膚腫瘍と様々な画像に適用されており、その診断性能が専門医を越えたとの報告もあります ([1], [2])。2018年にはAIが糖尿病網膜

                                            臨床診断支援AIの歴史から症状チェッカーの今後を展望する―エキスパートシステムから大規模言語モデルまで
                                          • Uyghurs for sale | Australian Strategic Policy Institute | ASPI

                                            ‘Re-education’, forced labour and surveillance beyond Xinjiang. The Chinese government has facilitated the mass transfer of Uyghur and other ethnic minority1 citizens from the far west region of Xinjiang to factories across the country. Under conditions that strongly suggest forced labour, Uyghurs are working in factories that are in the supply chains of at least 82 well-known global brands in the

                                              Uyghurs for sale | Australian Strategic Policy Institute | ASPI
                                            • Object Detection State of the Art 2022

                                              Object detection has been a hot topic ever since the boom of Deep Learning techniques. This article goes over the most recent state of the art object detectors. First we will start with an introduction to the topic of object detection itself and it’s key metrics. The evolution of object detectors began with Viola Jones detector which was used for detection in real-time. Traditionally, object detec

                                                Object Detection State of the Art 2022
                                              • Kalyn: a self-hosting compiler for x86-64

                                                Over the course of my Spring 2020 semester at Harvey Mudd College, I developed a self-hosting compiler entirely from scratch. This article walks through many interesting parts of the project. It’s laid out so you can just read from beginning to end, but if you’re more interested in a particular topic, feel free to jump there. Or, take a look at the project on GitHub. Table of contents What the pro

                                                • The Next 50 Years of Databases // Blog // Andy Pavlo - Carnegie Mellon University

                                                  Admin: Tracy Farbacher Office: GHC 9019 Office Hours: Wed @ 1:00-1:45pm Email: pavlo@cs.cmu.edu Twitter: @andy_pavlo Mastodon: @andy_pavlo GitHub: apavlo So I ended up doing what I promised myself I would not do. And that is be a professor who has a blog that they never update. I know that it's been a year since my last post and that I still need to write part 3 in my series on the open research p

                                                  • The Architect’s Path (Part 2 - Bookshelf)

                                                    The Architect’s Path (Part 2 - Bookshelf) Growing an architect is different from growing a system. This bookshelf will help. I help enterprises with their architecture strategy and cloud transformation journey by connecting the penthouse with the engine room. Ex-Google, Allianz, ThoughtWorks, Deloitte. Updated: November 17, 2020 Updated: Architecture Part 1 of this mini-series contemplated an arch

                                                      The Architect’s Path (Part 2 - Bookshelf)
                                                    • 週刊Railsウォッチ: Active Modelで属性のパターンマッチをサポート、猫でもわかるHotwire入門ほか(20220516前編)|TechRacho by BPS株式会社

                                                      週刊Railsウォッチについて 各記事冒頭には🔗でパーマリンクを置いてあります: 社内やTwitterでの議論などにどうぞ 「つっつきボイス」はRailsウォッチ公開前ドラフトを(鍋のように)社内有志でつっついたときの会話の再構成です👄 お気づきの点がありましたら@hachi8833までメンションをいただければ確認・対応いたします🙏 TechRachoではRubyやRailsなどの最新情報記事を平日に公開しています。TechRacho記事をいち早くお読みになりたい方はTwitterにて@techrachoのフォローをお願いします。また、タグやカテゴリごとにRSSフィードを購読することもできます(例:週刊Railsウォッチタグ) 🔗Rails: 先週の改修(Rails公式ニュースより) コミット差分: Comparing @{2022-04-29}...main@{2022-05-1

                                                        週刊Railsウォッチ: Active Modelで属性のパターンマッチをサポート、猫でもわかるHotwire入門ほか(20220516前編)|TechRacho by BPS株式会社
                                                      • A Cheat Sheet and Some Recipes For Building Advanced RAG — LlamaIndex, Data Framework for LLM Applications

                                                        It’s the start of a new year and perhaps you’re looking to break into the RAG scene by building your very first RAG system. Or, maybe you’ve built Basic RAG systems and are now looking to enhance them to something more advanced in order to better handle your user’s queries and data structures. In either case, knowing where or how to begin may be a challenge in and of itself! If that’s true, then h

                                                          A Cheat Sheet and Some Recipes For Building Advanced RAG — LlamaIndex, Data Framework for LLM Applications
                                                        • What we look for in a resume

                                                          I read every single one of the resumes we receive. Sometimes, I’d talk to a candidate and see that what we perceived as their strongest aspects actually weren’t included in their resume. Occasionally, a candidate would tell me that they didn’t expect their resume to still be screened by humans – had they known, they would have written their resume differently. The resume evaluation process is pret

                                                            What we look for in a resume
                                                          • Benchmarking CRuby, MJIT, YJIT, JRuby and TruffleRuby

                                                            Benchmarking CRuby, MJIT, YJIT, JRuby and TruffleRuby In this blog post we benchmark many Ruby versions and the latest Ruby Just-in-Time compilers (JITs) on the newest Ruby benchmark suite, yjit-bench. As a teaser, the geometric mean speedups compared to CRuby 3.1 on these 14 benchmarks are: MJIT 1.26x, YJIT 1.39x, JRuby 1.86x and TruffleRuby 6.23x. Read on to find more about the benchmarks and ga

                                                              Benchmarking CRuby, MJIT, YJIT, JRuby and TruffleRuby
                                                            • Game Emulation via Neural Network

                                                              I made a playable Pokémon overworld. It looks (mostly) like a normal video game, and you can try it in your web browser here: Although this looks like a video game, I did not write any game code. This program is actually a neural network mimicking a video game. Program? Game? Neural network? Programs: sequences of instructions that transform input→output A human could run through these instruction

                                                              • How Async/Await Really Works in C# - .NET Blog

                                                                Catch up on 16 sessions from .NET Conf: Focus on AI exploring how .NET developers can leverage AI libraries and features to build smarter applications, enhance productivity, and provide better user experiences. Several weeks ago, the .NET Blog featured a post What is .NET, and why should you choose it?. It provided a high-level overview of the platform, summarizing various components and design de

                                                                  How Async/Await Really Works in C# - .NET Blog
                                                                • Model Spec (2024/05/08)

                                                                  May 08, 2024 Overview This is the first draft of the Model Spec, a document that specifies desired behavior for our models in the OpenAI API and ChatGPT. It includes a set of core objectives, as well as guidance on how to deal with conflicting objectives or instructions. Our intention is to use the Model Spec as guidelines for researchers and data labelers to create data as part of a technique cal

                                                                  • The Story of the PS2’s Backwards Compatibility From the Engineer Who Built It

                                                                    As the PlayStation 2 turns 20 in Japan on March 4, followed by Europe and North America later in the year, game outlets of all stripes will undoubtedly be trotting out lists and retrospectives commemorating one of the most culturally significant and successful consoles to ever be produced. Although much of that attention will likely be focused on the many unique and diverse games that helped make

                                                                      The Story of the PS2’s Backwards Compatibility From the Engineer Who Built It
                                                                    • Building and operating a pretty big storage system called S3

                                                                      Building and operating a pretty big storage system called S3July 27, 2023 • 6277 words Today, I am publishing a guest post from Andy Warfield, VP and distinguished engineer over at S3. I asked him to write this based on the Keynote address he gave at USENIX FAST ‘23 that covers three distinct perspectives on scale that come along with building and operating a storage system the size of S3. In toda

                                                                        Building and operating a pretty big storage system called S3
                                                                      • Git Internals part 1: The git object model

                                                                        This is the first of several posts exploring how git works under the hood. While lots of programmers are familiar with using git, I wanted to do a deep dive into how git is implemented. git employs many clever ideas to optimize common version control operations. I'm a big fan of trying to understand software by playing around with it rather than reading lots of documentation. To that end, I've wri

                                                                          Git Internals part 1: The git object model
                                                                        • Building a recommendation engine inside Postgres with Python and Pandas | Crunchy Data Blog

                                                                          I'm a big fan of data in general. Data can tell you a lot about what users are doing and can help you gain all sorts of insights. One such aspect is in making recommendations based on past history or others that have made similar choices. In fact, years ago I wrote a small app to see if I could recommend wines based on how other ones were rated. It was a small app that I shared among just a handfu

                                                                            Building a recommendation engine inside Postgres with Python and Pandas | Crunchy Data Blog
                                                                          • Turning it up to 11: the first Developer Preview of Android 11

                                                                            Turning it up to 11: the first Developer Preview of Android 11 Posted by Dave Burke, VP of Engineering Android has led the way towards the future of mobile, with new technologies like 5G to foldable displays to machine learning built into the core. A hallmark of our approach is a strong developer community that provides early and thoughtful feedback, helping us deliver a robust platform for apps a

                                                                              Turning it up to 11: the first Developer Preview of Android 11
                                                                            • Security Tradeoffs: Privacy

                                                                              In a recent post, I explored some of the tradeoffs engineers must make when evaluating the security properties of a given design. In this post, we explore an interesting tradeoff between Security and Privacy in the analysis of web traffic. Many different security features and products attempt to protect web browsers from malicious sites by evaluating the target site’s URL and blocking access to th

                                                                                Security Tradeoffs: Privacy
                                                                              • スライサー Ultimaker CURA 設定完全攻略 Ver4.8.0対応版(11/12/20更新)|Yan

                                                                                お願いこの記事は3Dプリンタユーザー、特に使いだしたばかりの人がCURAの設定で困ったときに参考にできるようにと、検索で出てくるようにするために無料記事として公開しています。 改版を重ねてきて文字数が45,000文字を超えてメンテナンスするのもかなりの時間と労力を注がないとならなくなってしまいました。今後も無料記事として改版、公開を続けていくモチベーション維持のため、役に立ったと思っていただけたのなら、気持ちで結構ですのでサポートお願いいたします。僕のAmazonの欲しいものリストを掲載しておきますので、食べ物恵んでくれるとかでもOKです。よろしくお願いします! https://www.amazon.jp/hz/wishlist/ls/2K5VGTZRA3ATJ?ref_=wl_share 支援物資送ってくださった方、ありがとうございますっ!とても助かってます。これからもお役に立つような記

                                                                                  スライサー Ultimaker CURA 設定完全攻略 Ver4.8.0対応版(11/12/20更新)|Yan
                                                                                • ICLR 2022 — A Selection of 10 Papers You Shouldn’t Miss

                                                                                  Image by Zeta Alpha.The International Conference in Learning Representations (ICLR) will be held online (for the third year in a row!) from Monday, April 25th through Friday, April 29th. It’s one of the biggest and most beloved conferences in the world of Machine Learning Research, and this year is no exception: it comes packed with more than a thousand papers on topics ranging from ML theory, Rei

                                                                                    ICLR 2022 — A Selection of 10 Papers You Shouldn’t Miss