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  • COVID-19: WHY WE SHOULD ALL WEAR MASKS  — THERE IS NEW SCIENTIFIC RATIONALE

    The official recommendation in the United States (and other Western countries) that the public should not wear face masks was motivated by the need to save respirator masks for health care workers. There is no scientific support for the statement that masks worn by non-professionals are “not effective”. In contrary, in view of the stated goal to “flatten the curve”, any additional, however partial

      COVID-19: WHY WE SHOULD ALL WEAR MASKS  — THERE IS NEW SCIENTIFIC RATIONALE
    • Accelerating Generative AI with PyTorch II: GPT, Fast

      by Team PyTorch This post is the second part of a multi-series blog focused on how to accelerate generative AI models with pure, native PyTorch. We are excited to share a breadth of newly released PyTorch performance features alongside practical examples to see how far we can push PyTorch native performance. In part one, we showed how to accelerate Segment Anything over 8x using only pure, native

        Accelerating Generative AI with PyTorch II: GPT, Fast
      • Advent of Code on the Nintendo DS

        It is December. That means annoying Christmas things are everywhere, including but not limited to the annual programming semi-competition known as Advent of Code. The problem with Advent of Code is that it is a waste of time. Most of the puzzles are in the realm of either string processing (somewhat applicable to programming), logic puzzles (not really applicable to most programming), or stupid go

        • NLP Research Highlights — Issue #1

          Welcome to the first quarterly issue of the natural language processing (NLP) Research Highlights series. The goal is to provide you with a summary and a closer look at a collection of interesting NLP research papers and topics that we recently came across. We aim to distill the important parts of each paper and to make these works more approachable to the reader. This series will also allow us to

            NLP Research Highlights — Issue #1
          • Build faster with Buck2: Our open source build system

            Buck2, our new open source, large-scale build system, is now available on GitHub. Buck2 is an extensible and performant build system written in Rust and designed to make your build experience faster and more efficient. In our internal tests at Meta, we observed that Buck2 completed builds 2x as fast as Buck1. Buck2, Meta’s open source large-scale build system, is now publicly available via the Buc

              Build faster with Buck2: Our open source build system
            • Introducing TypeChat - TypeChat

              July 20, 2023 by Anders Hejlsberg, Steve Lucco, Daniel Rosenwasser, Pierce Boggan, Umesh Madan, Mike Hopcroft, and Gayathri Chandrasekaran In the last few months, we've seen a rush of excitement around the newest wave of large language models. While chat assistants have been the most direct application, there's a big question around how to best integrate these models into existing app interfaces.

              • AQUA (Advanced Query Accelerator) – A Speed Boost for Your Amazon Redshift Queries | Amazon Web Services

                AWS News Blog AQUA (Advanced Query Accelerator) – A Speed Boost for Your Amazon Redshift Queries Amazon Redshift already provides up to 3x better price-performance at any scale than any other cloud data warehouse. We do this by designing our own hardware and by using Machine Learning (ML). For example, we launched the SSD-based RA3 nodes for Amazon Redshift at the end of 2019 (Amazon Redshift Upda

                  AQUA (Advanced Query Accelerator) – A Speed Boost for Your Amazon Redshift Queries | Amazon Web Services
                • 週刊Railsウォッチ: Rails 7.2でメンテナンスポリシー更新、書籍『Ruby on Railsパフォーマンスアポクリファ』ほか(20240819)|TechRacho by BPS株式会社

                  こんにちは、hachi8833です。Railsガイドも先週7.2に更新完了しました↓。 #Railsガイド がRails 7.2に対応!!🆙✨ 🛤 Rails 7.2リリースノート 🛠 Dev Containerでの開発 🚀 本番環境のパフォーマンス改善 (最適化のトレードオフ、PumaやYJITの設定、負荷テストや測定項目の解説など) が新たに追加され、既存ガイドも大幅に改訂されました...!!📕💖https://t.co/1WexdNRvJ9 pic.twitter.com/JTiHShnj1r — Railsガイド 📕 (@RailsGuidesJP) August 16, 2024 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X.com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

                    週刊Railsウォッチ: Rails 7.2でメンテナンスポリシー更新、書籍『Ruby on Railsパフォーマンスアポクリファ』ほか(20240819)|TechRacho by BPS株式会社
                  • Deploying Transformers on the Apple Neural Engine

                    An increasing number of the machine learning (ML) models we build at Apple each year are either partly or fully adopting the Transformer architecture. This architecture helps enable experiences such as , , , , and many others. This year at WWDC 2022, Apple is making available an open-source reference PyTorch implementation of the Transformer architecture, giving developers worldwide a way to seaml

                      Deploying Transformers on the Apple Neural Engine
                    • What is the Privacy Sandbox?  |  Google for Developers

                      Send feedback What is the Privacy Sandbox? Stay organized with collections Save and categorize content based on your preferences. The Privacy Sandbox initiative aims to create technologies that both protect people's privacy online and give companies and developers tools to build thriving digital businesses. The Privacy Sandbox has two core aims: Provide alternative solutions for browsing without t

                        What is the Privacy Sandbox?  |  Google for Developers
                      • Building data-centric apps with a reactive relational database

                        Building apps is too hard. Even skilled programmers who don’t specialize in app development struggle to build simple interactive tools. We think that a lot of what makes app development hard is managing state: reacting and propagating changes as the user takes actions. We’re exploring a new way to manage data in apps by storing all app state—including the state of the UI—in a single reactive datab

                          Building data-centric apps with a reactive relational database
                        • Optimize Interaction to Next Paint  |  Articles  |  web.dev

                          Interaction to Next Paint (INP) is a stable Core Web Vital metric that assesses a page's overall responsiveness to user interactions by observing the latency of all qualifying interactions that occur throughout the lifespan of a user's visit to a page. The final INP value is the longest interaction observed (sometimes ignoring outliers). To provide a good user experience, websites should strive to

                            Optimize Interaction to Next Paint  |  Articles  |  web.dev
                          • Finally We May Have a Path to the Fundamental Theory of Physics… and It’s Beautiful—Stephen Wolfram Writings

                            Finally We May Have a Path to the Fundamental Theory of Physics… and It’s Beautiful Finally We May Have a Path to the Fundamental Theory of Physics… and It’s Beautiful April 14, 2020 I Never Expected This It’s unexpected, surprising—and for me incredibly exciting. To be fair, at some level I’ve been working towards this for nearly 50 years. But it’s just in the last few months that it’s finally co

                            • DevOps, SRE, and Platform Engineering

                              I compiled this thread on Twitter, and all of a sudden, it got quite some attention. So here, I'll try to elaborate on the topic a bit more. Maybe it would be helpful for someone trying to make a career decision or just improve general understanding of the most hyped titles in the industry. DevOps, SRE, and Platform Engineering (thread) Sharing my understanding of things after working in this doma

                                DevOps, SRE, and Platform Engineering
                              • ResearchOps 101

                                Summary: The practice of Research Operations (ResearchOps) focuses on processes and measures that support researchers in planning, conducting, and applying quality research at scale. ResearchOps is a specialized area of DesignOps focused specifically on components concerning user-research practices. ResearchOps (ReOps): The orchestration and optimization of people, processes, and craft in order to

                                  ResearchOps 101
                                • Reaching the Unix Philosophy's Logical Extreme with Webassembly

                                  Reaching the Unix Philosophy's Logical Extreme with Webassembly YouTube link (please let me know if the iframe doesn't work for you) Good morning Berlin! How're you doing this fine morning? I'm Xe and today I'm gonna talk about something that I'm really excited about: WebAssembly. WebAssembly is a compiler target for an imaginary CPU that your phones, tablets, laptops, gaming towers and even watch

                                  • Developing a computer use model

                                    Claude can now use computers. The latest version of Claude 3.5 Sonnet can, when run through the appropriate software setup, follow a user’s commands to move a cursor around their computer’s screen, click on relevant locations, and input information via a virtual keyboard, emulating the way people interact with their own computer. We think this skill—which is currently in public beta—represents a s

                                      Developing a computer use model
                                    • 2020年7月アビゲイル・シュライアー インタビュー翻訳途中まで|feministabolishnistjp

                                      The Joe Rogan Experience #1509 - Abigail Shrier ジョー・ローガン✕アビゲイル・シュライアー The Joe Rogan Experience ポッドキャスト#1509翻訳 URL: https://open.spotify.com/episode/4SIh4Pt39AtGQYzMJMNkv1?si=55240bc2547d45b7 Description: Abigail Shrier is an author, journalist, and writer for the Wall Street Journal. Her new book “Irreversible Damage: The Transgender Craze Seducing Our Daughters” is available now. 公開日: 2020年7月 概要:

                                        2020年7月アビゲイル・シュライアー インタビュー翻訳途中まで|feministabolishnistjp
                                      • Why the developers who use Rust love it so much - Stack Overflow

                                        The 2020 Developer Survey results are in, and once again, Rust is the number one most loved language among the 65,000 programmers who participated. Rust has taken the number one spot since 2016, showing that it’s got something that the developers who use it love. 86.1% of those survey respondents who said they currently use Rust want to continue using it next year. This is the fifth year in a row

                                          Why the developers who use Rust love it so much - Stack Overflow
                                        • New Flow Language Features for React

                                          We have thousands of engineers committing React code every day to Meta’s largest codebases. Part of our responsibility on the Flow team is to make it as easy as possible for anyone to contribute, from design system React experts to C++ engineers making one-off internal pages to support their backend services. Over the last year, we’ve built several new language features to make it easier than ever

                                            New Flow Language Features for React
                                          • Memory Management in Lobster

                                            This is a more in-depth explanation of how memory management in Lobster works, and is typically not needed to be understood fully to use the language. It may be interesting to those wanting to implement a similar scheme in another language. Introduction Memory management is an aspect of a language that has one of the biggest influences on how a language turns out: it affects the type system and th

                                            • Temporary elevated access management with IAM Identity Center | Amazon Web Services

                                              AWS Security Blog Temporary elevated access management with IAM Identity Center AWS recommends using automation where possible to keep people away from systems—yet not every action can be automated in practice, and some operations might require access by human users. Depending on their scope and potential impact, some human operations might require special treatment. One such treatment is temporar

                                                Temporary elevated access management with IAM Identity Center | Amazon Web Services
                                              • [Updating] Italian hospital saves Covid-19 patients lives by 3D printing valves for reanimation devices

                                                Christian Fracassi, Founder CEO of Isinnova (on the left) designed and 3D printed the missing valve. Many have been asking what the implications of the current COVID-19 pandemic are going to be on additive manufacturing as an industry. The relationship between coronavirus and 3D printing is not entirely clear, mostly because we are very far from understanding what the long, medium and even short t

                                                  [Updating] Italian hospital saves Covid-19 patients lives by 3D printing valves for reanimation devices
                                                • The forces and vulnerabilities of the Apache model

                                                  Blog? Why do people use words containing 'log' so often? The initial title for this article was "Why the Apache model sucks". It would have been a catchier title but would taint my arguments with triviality. But it was the first title that came to my mind and you should be aware of that. I have written about Apache in the past past and the present post is a rehash with a slightly different emphasi

                                                  • 先読みを用いたLLMの文章生成の高速化 - NTT Communications Engineers' Blog

                                                    こんにちは、イノベーションセンターの加藤です。普段はコンピュータビジョンの技術開発やAI/機械学習(ML: Machine Learning)システムの検証に取り組んでいます。一方で、兼務1で大規模言語モデル(LLM: Large Language Model)について調査を行なっており、特にLLMの推論や学習の高速化に関心を持っています。 今回は、小さな言語モデルによる先読みを活用してLLMの文章生成を高速化する手法(Assisted Generation2, Speculative Sampling3などと呼ばれています)についてご紹介します。 LLMの推論は計算コストが高く、文章生成の遅さが課題としてよく挙げられています。特に日本語はトークンあたりの文字数が少なく、ChatGPTのようなストリーム出力でもかなり生成が遅く感じるかと思います。 これに対して、いくらか余分にメモリを利用し

                                                      先読みを用いたLLMの文章生成の高速化 - NTT Communications Engineers' Blog
                                                    • Open-source DeepResearch – Freeing our search agents

                                                      TLDR Yesterday, OpenAI released Deep Research, a system that browses the web to summarize content and answer questions based on the summary. The system is impressive and blew our minds when we tried it for the first time. One of the main results in the blog post is a strong improvement of performances on the General AI Assistants benchmark (GAIA), a benchmark we’ve been playing with recently as we

                                                        Open-source DeepResearch – Freeing our search agents
                                                      • Visual Studio Code February 2020

                                                        February 2020 (version 1.43) Update 1.43.1: The update addresses these issues. Update 1.43.2: The update addresses these issues. Downloads: Windows: x64 | Mac: Intel | Linux: deb rpm tarball snap Welcome to the February 2020 release of Visual Studio Code. There are a number of updates in this version that we hope you will like, some of the key highlights include: Search Editors - Search and save y

                                                          Visual Studio Code February 2020
                                                        • 週刊Railsウォッチ(20200630後編)Shopify流テスト削減、仕様化テストでレガシーコードと戦う、PostgreSQLのarray_agg()ほか|TechRacho by BPS株式会社

                                                          2020.06.30 週刊Railsウォッチ(20200630後編)Shopify流テスト削減、仕様化テストでレガシーコードと戦う、PostgreSQLのarray_agg()ほか こんにちは、hachi8833です。ruby-jp Slack、ひと頃より落ち着いてきた感ありますが、油断すると未読たまりますね😅。 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👄 ⚓Ruby ⚓実行するテストを減らして「ときめく」には(Ruby Weeklyより) 元記事: Spark Joy by Running Fewer Tests – Shopify Engineering つっつきボイス: 「お、Shopifyの記事」「動的解析やらいろいろ

                                                            週刊Railsウォッチ(20200630後編)Shopify流テスト削減、仕様化テストでレガシーコードと戦う、PostgreSQLのarray_agg()ほか|TechRacho by BPS株式会社
                                                          • Finally, a Replacement for BERT: Introducing ModernBERT

                                                            TL;DR This blog post introduces ModernBERT, a family of state-of-the-art encoder-only models representing improvements over older generation encoders across the board, with a 8192 sequence length, better downstream performance and much faster processing. ModernBERT is available as a slot-in replacement for any BERT-like models, with both a base (149M params) and large (395M params) model size. Cli

                                                              Finally, a Replacement for BERT: Introducing ModernBERT
                                                            • Who Owns the Generative AI Platform? | Andreessen Horowitz

                                                              We’re starting to see the very early stages of a tech stack emerge in generative artificial intelligence (AI). Hundreds of new startups are rushing into the market to develop foundation models, build AI-native apps, and stand up infrastructure/tooling. Many hot technology trends get over-hyped far before the market catches up. But the generative AI boom has been accompanied by real gains in real m

                                                                Who Owns the Generative AI Platform? | Andreessen Horowitz
                                                              • GitHub - diff-usion/Awesome-Diffusion-Models: A collection of resources and papers on Diffusion Models

                                                                Latent Diffusion Counterfactual Explanations Karim Farid, Simon Schrodi, Max Argus, Thomas Brox arXiv 2023. [Paper] 10 Oct 2023 Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption Teng Hu, Jiangning Zhang, Liang Liu, Ran Yi, Siqi Kou, Haokun Zhu, Xu Chen, Yabiao Wang, Chengjie Wang, Lizhuang Ma ICCV 2023. [Paper] 7 Sep 2023 Latent Painter Shi

                                                                  GitHub - diff-usion/Awesome-Diffusion-Models: A collection of resources and papers on Diffusion Models
                                                                • What I learned working with a senior engineer as a new grad: TK's website

                                                                  A summary of what I learned about software development working with a senior software engineer with far more experience than me. Over the past few months, I've been working on a new project with Chet Corcos, the first engineering hire at Notion. Chet has been a professional engineer for 6 years and helped build Notion from the ground up. For contrast, I graduated from school in May 2021. I've been

                                                                  • News from WWDC24: WebKit in Safari 18 beta

                                                                    Jun 10, 2024 by Jen Simmons, Jon Davis, Karl Dubost, Anne van Kesteren, Marcos Cáceres, Ada Rose Canon, Tim Nguyen, Sanjana Aithal, Pascoe, and Garrett Davidson ContentsWebXRCSSWeb apps for MacSafari ExtensionsSpatial mediaHTMLMediaWebRTCPasskeysHTTPSJavaScriptWeb APICanvasWebGLWeb InspectorWKWebViewApple PayDeprecationsBug Fixes and moreHelp us Beta TestFeedback The last year has been a great one

                                                                      News from WWDC24: WebKit in Safari 18 beta
                                                                    • Shinichiro Watanabe On Making ‘Cowboy Bebop’ And What He Thinks Of The Live-Action Adaptation

                                                                      Moving to Tokyo, Watanabe went to work at Sunrise and met Ryosuke Takahashi, who took a shine to him. However, he wasn’t expecting such a formal dress code for the examination. “I went and took the entrance examination at Sunrise. I assumed it was a fairly casual type of industry, so I turned up in a t-shirt and some jeans. Whereas everyone else was in a suit, which was a bit of a shock. There als

                                                                        Shinichiro Watanabe On Making ‘Cowboy Bebop’ And What He Thinks Of The Live-Action Adaptation
                                                                      • Solving Quantitative Reasoning Problems With Language Models

                                                                        Solving Quantitative Reasoning Problems with Language Models Aitor Lewkowycz∗, Anders Andreassen†, David Dohan†, Ethan Dyer†, Henryk Michalewski†, Vinay Ramasesh†, Ambrose Slone, Cem Anil, Imanol Schlag, Theo Gutman-Solo, Yuhuai Wu, Behnam Neyshabur∗, Guy Gur-Ari∗, and Vedant Misra∗ Google Research Abstract Language models have achieved remarkable performance on a wide range of tasks that require

                                                                        • How RocksDB works - Artem Krylysov

                                                                          Introduction # Over the past years, the adoption of RocksDB increased dramatically. It became a standard for embeddable key-value stores. Today RocksDB runs in production at Meta, Microsoft, Netflix, Uber. At Meta RocksDB serves as a storage engine for the MySQL deployment powering the distributed graph database. Big tech companies are not the only RocksDB users. Several startups were built around

                                                                          • Time for Change

                                                                            Download PDF It’s time to rethink the foundation and framework of monetary policy In 2008, Queen Elizabeth II famously asked professors at the London School of Economics (LSE) about the global financial crisis: “Why did no one see it coming?” If Charles III were following in the footsteps of his mother, he would surely ask a similar question today, but about high inflation. This question is more c

                                                                              Time for Change
                                                                            • 前処理の改良でここまで伸びる! 実世界での画像劣化とのギャップに注目した超解像モデル「Real-ESRGAN」紹介 - Qiita

                                                                              前処理の改良でここまで伸びる! 実世界での画像劣化とのギャップに注目した超解像モデル「Real-ESRGAN」紹介機械学習DeepLearning論文読み超解像ICCV2021 2021年のディープラーニング論文を1人で読むAdvent Calendar24日目の記事です。今日読むのは「超解像技術」の論文です。 この論文はESRGANという、2018年の論文のリファインなのですが、訓練時の低解像度データの作成方法(訓練時の前処理)を大きく変えて、モデルはそれほど変わっていないという面白い改善です。通常この手のリファインはモデル構造側を工夫することが多いのですが、「前処理を実際の画像劣化に合わせることで、現場で通用するような超解像モデルを作りましょうね」というのがコンセプトです。前処理を変えるとこんなに変わるというのをぜひ体感してほしいです。 ICCV2021のWorkshopに採択されてい

                                                                                前処理の改良でここまで伸びる! 実世界での画像劣化とのギャップに注目した超解像モデル「Real-ESRGAN」紹介 - Qiita
                                                                              • Error Handling In Rust - A Deep Dive | Luca Palmieri

                                                                                Error Handling In Rust - A Deep Dive May 13, 2021 8550 words 43 min This article is a sample from Zero To Production In Rust, a hands-on introduction to backend development in Rust. You can get a copy of the book at zero2prod.com. TL;DR To send a confirmation email you have to stitch together multiple operations: validation of user input, email dispatch, various database queries. They all have one

                                                                                  Error Handling In Rust - A Deep Dive | Luca Palmieri
                                                                                • Film Grain Synthesis in AV1

                                                                                  Film grain synthesis in AV1 Published Nov. 3, 2019, updated Dec. 18, 2019. This page describes the film grain synthesis as defined in the AV1 film grain tool. Recently, there have been a lot of question on the film grain in AV1. Hopefully, this page can answer some of them. If you would like to get more information, you can follow links on this page or contact me directly. Motivation to preserve f

                                                                                    Film Grain Synthesis in AV1