モナリザの写真を自分の顔とシンクロさせて動かしてみる、流行りの深層学習モデルFOMMについて解説&実装(First Order Motion Model) - Qiita
モナリザの写真を自分の顔とシンクロさせて動かしてみる、流行りの深層学習モデルFOMMについて解説&実装(First Order Motion Model)PythonMachineLearningDeepLearningAI 深層学習の発達は凄まじいもので、1年半くらい前までは一枚の顔の写真の口や目を動かすだけで精一杯だったにも関わらず、最近は自分の顔に合わせて目、口、顔の動きや向きまでも同期できるようなモデルが登場した。それがFirst Order Motion Model(FOMM)といい、従来の研究と比べても逸脱した研究成果を見せて、世界中から注目されたモデルでもある。 次のツイートの動画を見てほしい。これは学会NeurIPS 2019でのFirst Order Motion Modelについての研究発表の映像である。なんと発表者の顔と同期して、オバマ、トランプ、モナリザなどの写真が
Version 1.92 is now available! Read about the new features and fixes from July. March 2022 (version 1.66) Update 1.66.1: The update addresses these issues. Update 1.66.2: The update addresses these security issues. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the March 2022 release of Visual Studio Code. There are many updates in this ve
“BootHole” vulnerability in the GRUB2 bootloader opens up Windows and Linux devices using Secure Boot to attack. All operating systems using GRUB2 with Secure Boot must release new installers and bootloaders. Join Eclypsium for a recorded webinar “Managing The Hole In Secure Boot“, where CEO Yuriy Bulygin and VP R&D John Loucaides explain the BootHole vulnerability and provide advice on mitigation
CoVID 19 Growth Rate
CoVID 19 Worldwide Growth Rates Updated: 1st May 2020, 03:34 BST All graphs have been updated. The way the UK reports deaths has changed to include all cases, not just hospital cases, and the graphs now reflect this. In general, many countries are showing signs of having peaked (number of new confirmed cases per day is now decreasing), and several are now showing signs that the death rate has also
VTubers are making millions on YouTube and Twitch Even Tony the Tiger, the 70-year-old cereal mascot, is now a virtual streamer It was the world’s largest gathering of internet celebrities. As I waited to meet Twitch streamer Code Miko in a hotel lobby at VidCon, I spotted an Instagram-famous husky, a fan favorite contestant from Netflix’s “The Circle” and a controversial beauty blogger. But when
Illustrating Reinforcement Learning from Human Feedback (RLHF)
This article has been translated to Chinese 简体中文 and Vietnamese đọc tiếng việt. Language models have shown impressive capabilities in the past few years by generating diverse and compelling text from human input prompts. However, what makes a "good" text is inherently hard to define as it is subjective and context dependent. There are many applications such as writing stories where you want creati
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
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
6 important AI near-future breakthroughs, or why the AI hype peak is likely to be ahead of us | CodiumAI
6 important AI near-future breakthroughs, or why the AI hype peak is likely to be ahead of us TL;DR: 6 technologies are in the works and will very likely mature within the next 3 years, further increasing the (justifiable?) hype around Generative AI and large-language-models (LLMs) specifically. Once any of these technologies are integrated into a product, it will be perceived as a breakthrough. S
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
A Second Conversation with Werner Vogels – Communications of the ACM
CACM Web Account Membership in ACM includes a subscription to Communications of the ACM (CACM), the computing industry's most trusted source for staying connected to the world of advanced computing. Sign In Sign Up When I joined Amazon in 1998, the company had a single U.S.-based website selling only books and running a monolithic C application on five servers, a handful of Berkeley DBs for key/va
As the 2010’s draw to a close, it’s worth taking a look back at the monumental progress that has been made in Deep Learning in this decade.[1] Driven by the development of ever-more powerful compute and the increased availability of big data, Deep Learning has successfully tackled many previously intractable problems, especially in Computer Vision and Natural Language Processing. Deep Learning has
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
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
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
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
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
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
CSS チュートリアル CSS の基本 CSS の第一歩 CSS の第一歩の概要 CSS とは何か CSS 入門 CSS の全体像 CSS の働き 評価課題: 経歴ページのスタイル設定 CSS の構成要素 CSS の構成要素の概要 CSS セレクター Type, class, and ID selectors Attribute selectors Pseudo-classes and pseudo-elements Combinators カスケードと継承 Cascade layers ボックスモデル 背景と境界 書字方向の操作 内容のはみ出し CSS の値と単位 CSS における大きさの指定 画像、メディア、フォームの要素 表のスタイル付け CSS のデバッグ CSS の整理 評価課題: CSS の基本的な理解度 評価課題: 素敵なレターヘッドの便箋の作成 評価課題: かっこいいボック
Optimize Interaction to Next Paint Stay organized with collections Save and categorize content based on your preferences. 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 th
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
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
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
By Jun He, Natallia Dzenisenka, Praneeth Yenugutala, Yingyi Zhang, and Anjali Norwood TL;DRWe are thrilled to announce that the Maestro source code is now open to the public! Please visit the Maestro GitHub repository to get started. If you find it useful, please give us a star. What is MaestroMaestro is a horizontally scalable workflow orchestrator designed to manage large-scale Data/ML workflows
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
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
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
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
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
[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](https://cdn-ak-scissors.b.st-hatena.com/image/square/b93f44e66324407597909e0a3bbf007ba47762ea/height=288;version=1;width=512/https%3A%2F%2Fwww.voxelmatters.com%2Fwp-content%2Fuploads%2F2020%2F03%2Fisinova-3d-print-e1584221514939.jpg)
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
On Pair Programming
Teams are often reluctant to switch pairs, but what if we rotate pairs every day? We did an experiment with three teams and learned that pair swapping frequently greatly enhances the benefits of pairing. Here we share our experiment design so that others can experiment with rotation frequency. Rotating pairs means that after working together for some time, one half of the pair leaves the story, wh
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
Version 1.93 is now available! Read about the new features and fixes from August. 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
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
by Carles Gelada and Jacob Buckman WARNING: This is an old version of this blogpost, and if you are a Bayesian, it might make you angry. Click here for an updated post with the same content. Context: About a month ago Carles asserted on Twitter that Bayesian Neural Networks make no sense. This generated lots of good discussion, including a thorough response from Andrew Gordon Wilson defending BNNs
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
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
The last year has been a great one for WebKit. After unveiling Safari 17 beta at WWDC23, we’ve shipped six releases of Safari 17.x with a total of 200 new web technologies. And we’ve been hard at work on multiple architectural improvement projects that strengthen WebKit for the long-term. Now, we are pleased to announce WebKit for Safari 18 beta. It adds another 48 web platform features, as well a
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Visual Studio Code March 2022
There’s a Hole in the Boot - Eclypsium
VTubers are making millions on YouTube and Twitch
Accelerating Generative AI with PyTorch II: GPT, Fast
The Decade of Deep Learning
NLP Research Highlights — Issue #1
Build faster with Buck2: Our open source build system
Introducing TypeChat - TypeChat
clamp() - CSS: カスケーディングスタイルシート | MDN
Optimize Interaction to Next Paint | Articles | web.dev
DevOps, SRE, and Platform Engineering
Maestro: Netflix’s Workflow Orchestrator
Developing a computer use model
New Flow Language Features for React
Memory Management in Lobster
The forces and vulnerabilities of the Apache model
Visual Studio Code February 2020
A Sober Look at Bayesian Neural Networks
Who Owns the Generative AI Platform? | Andreessen Horowitz
News from WWDC24: WebKit in Safari 18 beta