| AWS |
AWS Big Data Blog |
Gain insights into your Amazon Kinesis Data Firehose delivery stream using Amazon CloudWatch |
https://aws.amazon.com/blogs/big-data/gain-insights-into-your-amazon-kinesis-data-firehose-delivery-stream-using-amazon-cloudwatch/
|
Gain insights into your Amazon Kinesis Data Firehose delivery stream using Amazon CloudWatchThe volume of data being generated globally is growing at an ever increasing pace Data is generated to support an increasing number of use cases such as IoT advertisement gaming security monitoring machine learning ML and more The growth of these use cases drives both volume and velocity of streaming data and requires companies to capture … |
2022-01-20 18:55:26 |
| Google |
Official Google Blog |
XWP helps publishers get creative using Web Stories |
https://blog.google/google-for-creators/xwp-helps-publishers-get-creative-using-web-stories/
|
XWP helps publishers get creative using Web StoriesEditor s note Today s guest post is from Amit Sion Chief Revenue Officer at XWP Content creation is growing at a faster pace than ever before Digital media has made it easier for niche publishers to reach global audiences And publishers are now competing for readers attention and time not just with each other but with social media platforms With seemingly limitless ways to get news entertainment and other information publishers need to find ways to stand out Headquartered in Melbourne Australia our web agency XWP works with technology media and publishing companies Part of what we do is help publishers engage readers and thrive in today s highly competitive and often mobile first marketplace One way we help them do that is through Web Stories The Australian features their top Web Stories in a carousel on their homepage We recently began working with News Corp Australia to use Web Stories across their family of publications For example Australia s most prominent newspaper The Australian just added a Web Stories carousel to their homepage under the “Visual Stories heading They are using Web Stories for a variety of sections including news travel lifestyle arts and entertainment We are also working with News Corp brands in the U S like The Wall Street Journal and hope to bring Web Stories to even more News Corp publications In each project we learn something new and try to share that experience globally The Home garages getting pandemic makeovers Web Story in The Wall Street Journal shares many garage renovations including this transformation into a pub News Corp Australia is producing more Web Stories a week than any other publisher in the world says Rod Savage Partnership Editor of News Corp Australia We could not output such volumes of quality content without a quality publishing system and XWP s plug in has proven to be robust and intuitive We re looking forward to continuing to build a mutually beneficial relationship with the common goal of making Web Stories a stunning user experience On the Google app on Android and iOS News Corp s Web Stories appear on Discover currently available in the U S India and Brazil This is a useful tool for reaching new audiences and our customers are seeing positive results in their web traffic We re also helping smaller independent publishers use Web Stories to engage their audiences For example a COWGIRL Magazine Web Story promoted a documentary about Wyomingrodeo athlete Amberley Snyder who built her life back after losing the use of her legs in an automobile accident COWGIRL Magazine used the Web Stories format to share how rodeo athlete Amberley Snyder began riding horses again after a car crash that left her paralyzed below the waist “It s a different way of telling a story online unlike anything that anybody s doing out there says COWGIRL Magazine Founder and CEO Ken Amorosano “ Social media stories are rapid fire…but they re not really telling a story A blog post is telling a story but it s out of sequence as a photo doesn t necessarily link with a paragraph With Web Stories every word with that image with that video matters And it matters to the actual flow of the story It has a beginning middle and an end And it s very very very powerful Check out my interview with Ken to learn more about their experience using Web Stories Over the years we ve learned a lot about how to develop deploy and enhance Web Stories for publishers We ve found that you can t just take an article and break it up into pages with text ーit has to be more engaging Web Stories offer the ability to add video sound and images and publishers need to find the right balance of using multiple media to tell their stories When we start with publishers the first thing we do is look at some existing stories Then we encourage them to think about how to transform them into immersive Web Stories We can t wait to see where Web Stories take XWP and our publishers next That includes working with Google to develop Web Stories for WordPress and helping even more of our customers experiment with Web Stories to grow their audiences and create new reader experiences |
2022-01-20 19:00:00 |
| 海外TECH |
Ars Technica |
OAN panics as DirecTV drops network, asks viewers to find “dirt” on AT&T chairman |
https://arstechnica.com/?p=1827168
|
people |
2022-01-20 18:43:29 |
| 海外TECH |
MakeUseOf |
How to Make Your Own Memoji in Messages on Mac |
https://www.makeuseof.com/how-to-make-memoji-mac/
|
macwant |
2022-01-20 18:45:11 |
| 海外TECH |
MakeUseOf |
How to Avoid Accidental Motion Triggers on Your Ring Doorbell |
https://www.makeuseof.com/how-to-avoid-accidental-motion-triggers-ring-doorbell/
|
accidental |
2022-01-20 18:31:56 |
| 海外TECH |
MakeUseOf |
How to Improve Audio and Sound Quality on a Windows 11 PC |
https://www.makeuseof.com/windows-11-improve-audio-quality/
|
windows |
2022-01-20 18:15:12 |
| 海外TECH |
MakeUseOf |
Should You File a Claim in a Data Breach Settlement? |
https://www.makeuseof.com/data-breach-settlement-file-claim/
|
breach |
2022-01-20 18:01:59 |
| 海外TECH |
DEV Community |
Conversation Intelligence Quest: Python CI Challenge |
https://dev.to/symbldotai/conversation-intelligence-quest-python-ci-challenge-5h91
|
Conversation Intelligence Quest Python CI ChallengeTest Out Your Python Skills on Building Conversation Intelligence FunctionsHey fellow devs We are thrilled to announce a new Python CI coding challenge on Qualified io Put your Python skills to the test and win some cool prizes and bragging rights by building conversation intelligence functions In case you are not familiar with what Conversation Intelligence CI is it s essentially AI that can understand natural human conversations explicitly and contextually The Challenge In this cool challenge you will take on the identity of a “Python Agent and venture into the mystic land of Convotopia Combining your Python skills and CI APIs provided by Symbl ai you will build functions for extracting the undiscovered secrets conversation insights hidden deep within Convotopia Prepare yourself to take on greater challenges as you venture deeper into Convotopia The challenge is divided into Levels with each passing level you gain super powers to unlock the next level and be a Python hero in Convotopia Start the challenge here bit ly SymblCIQuest Q Time Commitment The challenge will take approximately hour and mins or less to complete all levels depending on your level of expertise with Python and or conversation intelligence APIs provided by Symbl ai Why should you commit hours of your life You can win some cool prizes completing the challenge see section below for details Approx time for each level Level Access to Convotopia Land minsLevel Connect with the locals minsLevel Are you connecting with the locals minsLevel Let the extraction begin minsLevel What is the Talk of the town in Convotopia mins Who Can Participate Our Challenge is open to programmers or not from all across the globe If you are interested in building Python functions and exploring AI functions this is the challenge for you Prizes Complete the challenge and win some cool prizes Amazon gift card The first participants to complete the challenge with by th February Amazon gift card not among the first to complete the challenge or didn t score No worries every week between th February to th March we will randomly select a winner who completed or more of the challenge to win Symbl ai Developer Swag first participants who complete of the challenge by March th Certificate of completion All participants who successfully complete the challenge will receive a certificate bragging rights to share on social How to participate Head over to the Challenge to register yourselves amp get started Link ️Join our slack channel Publish a social media post about your participation and experience and tag symbldotai and symbldev Add the BuildWithSymbl SymblQuest hashtag to your posts and share it with the community Fill in the Challenge completion swag form Join our Symbl ai Community Become a part of our Slack community and do follow us on Twitter Linkedin Youtube Github Facebook and Instagram ️ Contact usIf you have any questions please don t hesitate to drop me an email at akanksha bhasin symbl ai Happy Hacking May the source be with you By Akanksha Bhasin DevRel symbl ai |
2022-01-20 18:22:29 |
| Apple |
AppleInsider - Frontpage News |
Epic claims App Store antitrust trial judge made too many legal mistakes in her ruling |
https://appleinsider.com/articles/22/01/20/epic-claims-app-store-antitrust-trial-judge-made-too-many-legal-mistakes-in-her-ruling?utm_medium=rss
|
Epic claims App Store antitrust trial judge made too many legal mistakes in her rulingThursday s appeal filing by Epic claims that Judge Gonzales Roberts erred in her Epic versus Apple antitrust rulings and is asking the appeals court to force a retrial before the same judge The filing made by Epic s attorneys claims that Epic made its case appropriately and Judge Roberts erred in her interpretation of the evidence and testimony Furthermore the gaming company disagreed with the judge s stance regarding Apple s power in the market saying that it has ample economic power to force developers to bend to its will The appeal filing claims that Apple unlawfully maintains its monopolies in the iOS app distribution and in app payment solutions markets by expressly excluding all competitors However during the trial Judge Roberts didn t define the market the same way that Epic does here or the wider definition that Apple wants It isn t clear why Epic is leaning on their definition in the appeal filing given the ruling and prior precedent in similar matters Read more |
2022-01-20 18:56:57 |
| Apple |
AppleInsider - Frontpage News |
Apple issues first Release Candidate beta of macOS 12.2 |
https://appleinsider.com/articles/22/01/20/apple-issues-first-release-candidate-beta-of-macos-122?utm_medium=rss
|
Apple issues first Release Candidate beta of macOS Apple has seeded a Release Candidate build of macOS Monterey to developer beta testers The newest builds can be downloaded via the Apple Developer Center for those enrolled in the test program or via an over the air update on devices running the beta software Public betas typically arrive within a few days of the developer versions via the Apple Beta Software Program website The second build of macOS was seeded on January while the first landed on December Apple publicly released macOS on December Read more |
2022-01-20 18:20:18 |
| Apple |
AppleInsider - Frontpage News |
Apple releases first Release Candidates of iOS 15.3, iPadOS 15.3, tvOS 15.3, watchOS 8.4 |
https://appleinsider.com/articles/22/01/20/apple-releases-first-release-candidates-of-ios-153-ipados-153-tvos-153-watchos-84?utm_medium=rss
|
Apple releases first Release Candidates of iOS iPadOS tvOS watchOS Apple has moved on to its third round of developer betas with Release Candidates of iOS iPadOS tvOS watchOS and HomePod software now available for testing The latest builds can be acquired by developers in the beta testing scheme via the Apple Developer Center or as an over the air update for hardware already using earlier beta builds A public beta version of the releases is expected to start arriving soon and will be available through the Apple Beta Software Program website The Release Candidates replaces the second betas which were issued on January The first round became available on December four days after final release versions of iOS iPadOS tvOS and watchOS shipped Read more |
2022-01-20 18:14:47 |
| Apple |
AppleInsider - Frontpage News |
Deal alert: Apple's 16-inch MacBook Pro is $200 off, in stock right now |
https://appleinsider.com/articles/22/01/20/deal-alert-apples-16-inch-macbook-pro-is-200-off-in-stock-right-now?utm_medium=rss
|
Deal alert Apple x s inch MacBook Pro is off in stock right nowAppleInsider readers can snag exclusive pricing on Apple s Late inch MacBook Pro with five popular configurations in stock and ready to ship including the standard model for off retail Plus save on AppleCare Exclusive deals on every inch MacBook ProAfter selling out quickly during the holiday season Apple Authorized Reseller Adorama has several inch MacBook Pro models back in stock including the standard configuration in your choice of finish Priced at with promo code APINSIDER using the activation instructions below this exclusive offer delivers the best MacBook Pro deal thanks to the discount and savings on AppleCare with the coupon Plus it beats Apple s own backorder delay by well over a month Read more |
2022-01-20 18:13:58 |
| Apple |
AppleInsider - Frontpage News |
Peloton halts production of fitness bikes, cites 'significant' loss of demand |
https://appleinsider.com/articles/22/01/20/peloton-halts-production-of-fitness-bikes-cites-significant-loss-of-demand?utm_medium=rss
|
Peloton halts production of fitness bikes cites x significant x loss of demandFitness firm Peloton is reportedly halting production of its bikes and treadmills temporarily because of continued decline in sales Peloton BikePeloton benefited from the coronavirus with booming sales for its home fitness equipment but recently blamed Apple for the subsequent downturn Saying that Apple s App Tracking Transparency privacy hurt sales Peloton tried dropping the price of its original bike Read more |
2022-01-20 18:21:35 |
| 海外TECH |
CodeProject Latest Articles |
Azure Arc Enabled Servers Part 1: Introduction to Azure Arc for Developers and DevOps |
https://www.codeproject.com/Articles/5321652/Azure-Arc-Enabled-Servers-Part-1-Introduction-to-A
|
Azure Arc Enabled Servers Part Introduction to Azure Arc for Developers and DevOpsIn this article we introduce Azure Arc as a way of integrating resources from other environments into Microsoft Azure |
2022-01-20 18:17:00 |
| 海外科学 |
NYT > Science |
For Coronavirus Testing, the Nose May Not Always Be Best |
https://www.nytimes.com/2022/01/14/health/saliva-testing-coronavirus-omicron.html
|
nasal |
2022-01-20 18:47:33 |
| 海外TECH |
WIRED |
This Fallout TV Show Is a Terrible Idea—Unless It's a Comedy |
https://www.wired.com/story/fallout-amazon-tv-show-comedy
|
adaptation |
2022-01-20 18:27:37 |
| 海外TECH |
WIRED |
10 Great Deals on Robot Vacuums, Mattresses, and Air Purifiers |
https://www.wired.com/story/deals-january-20-2022
|
deals |
2022-01-20 18:10:00 |
| ニュース |
BBC News - Home |
NI to scrap Covid passports in pubs and restaurants |
https://www.bbc.co.uk/news/uk-northern-ireland-60044349?at_medium=RSS&at_campaign=KARANGA
|
hospitality |
2022-01-20 18:40:32 |
| ニュース |
BBC News - Home |
Carhartt facing calls for boycott over vaccine mandates |
https://www.bbc.co.uk/news/business-60073252?at_medium=RSS&at_campaign=KARANGA
|
conservative |
2022-01-20 18:50:30 |
| ニュース |
BBC News - Home |
Adama Traore: Wolves reject £15m bid for winger from Tottenham |
https://www.bbc.co.uk/sport/football/60073974?at_medium=RSS&at_campaign=KARANGA
|
adama |
2022-01-20 18:15:49 |
| ニュース |
BBC News - Home |
Holders Algeria out of Africa Nations Cup after losing to Ivory Coast |
https://www.bbc.co.uk/sport/football/59975483?at_medium=RSS&at_campaign=KARANGA
|
coast |
2022-01-20 18:33:12 |
| ニュース |
BBC News - Home |
Arsenal's Aubameyang says he is 'completely healthy' after further scans on heart |
https://www.bbc.co.uk/sport/football/60073247?at_medium=RSS&at_campaign=KARANGA
|
Arsenal x s Aubameyang says he is x completely healthy x after further scans on heartArsenal forward Pierre Emerick Aubameyang says he is completely healthy after returning prematurely from the Africa Cup of Nations to have heart checks |
2022-01-20 18:40:33 |
| ニュース |
BBC News - Home |
What are the Covid rules in England, Scotland, Wales and Northern Ireland? |
https://www.bbc.co.uk/news/explainers-52530518?at_medium=RSS&at_campaign=KARANGA
|
wales |
2022-01-20 18:06:38 |
| ビジネス |
ダイヤモンド・オンライン - 新着記事 |
守り重視の「参院選直結型国会」、鍵握る自公の不協和音と派閥力学 - 永田町ライヴ！ |
https://diamond.jp/articles/-/293558
|
不協和音 |
2022-01-21 03:50:00 |
| ビジネス |
ダイヤモンド・オンライン - 新着記事 |
ワクチン接種率8割の豪州、オミクロン株急拡大で景気回復に暗雲 - 西濵徹の新興国スコープ |
https://diamond.jp/articles/-/293907
|
新型コロナウイルス |
2022-01-21 03:45:00 |
| ビジネス |
ダイヤモンド・オンライン - 新着記事 |
MSの大型買収、狙うはゲーム版「ネトフリ」 - WSJ PickUp |
https://diamond.jp/articles/-/293751
|
wsjpickup |
2022-01-21 03:40:00 |
| ビジネス |
ダイヤモンド・オンライン - 新着記事 |
ドイツ長期金利がプラス圏に 理不尽な国債相場 - WSJ PickUp |
https://diamond.jp/articles/-/293903
|
wsjpickup |
2022-01-21 03:35:00 |
| ビジネス |
ダイヤモンド・オンライン - 新着記事 |
「PER」って何？実はよく知らない、投資成功率を上げる最重要指標の活用法 - 初心者のための「老後資金」対策講座 |
https://diamond.jp/articles/-/293497
|
株価収益率 |
2022-01-21 03:30:00 |
| ビジネス |
ダイヤモンド・オンライン - 新着記事 |
アップルが「メタバース」を社内でNGワードにする理由 - ビジネスを変革するテクノロジー |
https://diamond.jp/articles/-/293746
|
|
2022-01-21 03:25:00 |
| ビジネス |
ダイヤモンド・オンライン - 新着記事 |
トンガ大噴火で分かれた賞賛と物議、びっくりドンキー・キャスター・ミュージシャン… - News&Analysis |
https://diamond.jp/articles/-/293905
|
newsampampanalysis |
2022-01-21 03:20:00 |
| ビジネス |
ダイヤモンド・オンライン - 新着記事 |
定年退職後の健康保険はどうする？22年の制度改正で保険料値上げになる人も - 知らないと損する！医療費の裏ワザと落とし穴 |
https://diamond.jp/articles/-/293758
|
健康保険 |
2022-01-21 03:15:00 |
| ビジネス |
ダイヤモンド・オンライン - 新着記事 |
日本人に見る「法意識」の独自性、なぜ権利の主張や訴訟に消極的なのか - 名著で読み解く新常態 |
https://diamond.jp/articles/-/293625
|
名著『日本人の法意識』を基に読み解く。 |
2022-01-21 03:10:00 |
| ビジネス |
ダイヤモンド・オンライン - 新着記事 |
越境人材への期待が高まる中で、「私」を中心に始める「これからの越境」 - 大企業ハック大全 |
https://diamond.jp/articles/-/293355
|
越境 |
2022-01-21 03:07:00 |
| ビジネス |
ダイヤモンド・オンライン - 新着記事 |
成長のチャンスを逃す「損失回避行動」にハマる人・ハマらない人の思考格差 - 「脳活」に役立つ生活・健康習慣の知恵 |
https://diamond.jp/articles/-/293694
|
重宝 |
2022-01-21 03:05:00 |
| Azure |
Azure の更新情報 |
Public Preview: Managed Certificate support for Azure API Management |
https://azure.microsoft.com/ja-jp/updates/public-preview-managed-certificate-support-for-azure-api-management/
|
management |
2022-01-20 18:28:20 |
| GCP |
Cloud Blog |
Find products faster with the new All Products page |
https://cloud.google.com/blog/topics/developers-practitioners/find-products-faster-new-all-products-page/
|
Find products faster with the new All Products pageWelcome to a new way of exploring Google Cloud products Finding your favorite products and discovering new ones requires a user interface that s easy to use clear informative and delightful Google Cloud users have primarily used our side menu to navigate but with almost one hundred products and growing it s safe to say our product list has outgrown the side menu Over time we have listened long and hard to feedback from Google Cloud users who have highlighted challenges navigating the console to explore our products We ve heard over and over that it s difficult and time consuming to scroll through the long list of products and remember what each one offers That s why we created a new All products page to help you easily navigate to your favorite Google Cloud products This page showcases all of the Google Cloud products as well as our key partner products in one easy to navigate place With one click you can discover the right product that is right for your solution Click to enlargeExplore all Google Cloud productsThe page is organized into different categories including Management ie IAM Billing Compute Storage Operations Security CI CD Artificial Intelligence Support and more Quickly jump to the category of interest through the panel on the left or you can scroll the entire page Then you can click each product name to navigate directly to the product homepage Each product listing also includes a short and long description so you can quickly understand what a product does and whether it fits your needs This lets you compare categories at a glance saving you the hassle of digging up product overviews elsewhere Under each product you ll also find a link to documentation and Quickstarts so you can understand it in more depth and try it out right away removing the extra step of navigating to documentation in another tab Customize your navigationTo make navigation even easier you can pin products directly from the All products page and they will show up at the top of your side menu You can also customize your navigation by reordering your pins in the side menu That way you can quickly access your most used products directly from the side menu instead of scrolling through the panel or the All products page Save time and get more done fasterWith the new All products page you can save time scrolling and cut straight to the good stuff finding your products discovering new ones learning and getting hands on Try it out for yourself by heading to the Google Cloud Console Click the side panel and click “View All products or on the home dashboard you ll see a call out to try out the All products page If you have any feedback about this new experience I want to hear Reach out to me on Twitter at stephr wong or on Linkedin at stephrwong |
2022-01-20 18:30:00 |
| GCP |
Cloud Blog |
Bio-pharma organizations can now leverage the groundbreaking protein folding system, AlphaFold, with Vertex AI |
https://cloud.google.com/blog/products/ai-machine-learning/running-alphafold-on-vertexai/
|
Bio pharma organizations can now leverage the groundbreaking protein folding system AlphaFold with Vertex AIAt Google Cloud we believe the products we bring to market should be strongly informed by our research efforts across Alphabet For example Vertex AI was ideated incubated and developed based on the pioneering research from Google s research entities Features like Vertex AI Forecast Explainable AI Vertex AI Neural Architecture Search NAS and Vertex AI Matching Engine were born out of discoveries by Google s researchers internally tested and deployed and shared with data scientists across the globe as an enterprise ready solution each within a matter of a few short years Today we re proud to announce another deep integration between Google Cloud and Alphabet s AI research organizations the ability in Vertex AI to run DeepMind s groundbreaking protein structure prediction system AlphaFold We expect this capability to be a boon for data scientists and organizations of all types in the bio pharma space from those developing treatments for diseases to those creating new synthetic biomaterials We re thrilled to see Alphabet AI research continue to shape products and contribute to platforms on which Google Cloud customers can build This guide provides a way to easily predict the structure of a protein or multiple proteins using a simplified version of AlphaFold running in a Vertex AI For most targets this method obtains predictions that are near identical in accuracy compared to the full version To learn more about how to correctly interpret these predictions take a look at the Using the AlphaFold predictions section of this blog post below Please refer to the Supplementary Information for a detailed description of the method Solution OverviewVertex AI lets you develop the entire data science machine learning workflow in a single development environment helping you deploy models faster with fewer lines of code and fewer distractions For running AlphaFold we choose Vertex AI Workbench user managed notebooks which uses Jupyter notebooks and offers both various preinstalled suites of deep learning packages and full control over the environment We also use Google Cloud Storage and Google Cloud Artifact Registry as shown in the architecture diagram below Figure Solution OverviewWe provide a customized Docker image in Artifact Registry with preinstalled packages for launching a notebook instance in Vertex AI Workbench and prerequisites for running AlphaFold For users who want to further customize the docker image for the notebook instance we also provide the Dockerfile and a build script you can build upon You can find the notebook the Dockerfile and the build script in the Vertex AI community content Getting StartedVertex AI Workbench offers an end to end notebook based production environment that can be preconfigured with the runtime dependencies necessary to run AlphaFold With user managed notebooks you can configure a GPU accelerator to run AlphaFold using JAX without having to install and manage drivers or JupyterLab instances The following is a step by step walkthrough for launching a demonstration notebook that can predict the structure of a protein using a slightly simplified version of AlphaFold that does not use homologous protein structures or the full sized BFD sequence database If you are new to Google Cloud we suggest familiarizing yourself with the materials on the Getting Started page and creating a first project to host the VM Instance that will manage the tutorial notebook Once you have created a project proceed to step below Navigate to the tutorial notebook hosted in the vertex ai samples repository on GitHub Launch the notebook on Vertex Workbench via the “Launch this Notebook in Vertex AI Workbench link This will redirect to the Google Cloud Platform Console and open Vertex AI Workbench using the last project that you used If needed select your project using the blue header at the top of the screen on the left If you have multiple Google Cloud user accounts make sure you select the appropriate account using the icon on the right First time users will be prompted to take a tutorial titled “Deploy a notebook on AI Platform with the start button appearing on the bottom right corner of the screen This tutorial is necessary for first time users it will help orient you to the Workbench as well as configure billing and enable the Notebooks API both required A full billing account is required for GPU acceleration and is strongly recommended Learn more here Enter a name for the notebook but don t click “Create just yet you still need to configure some “Advanced Options If you have used Vertex AI Workbench before you may first need to select “Create a new notebook GPU acceleration is strongly recommended for this tutorial When using GPU acceleration you should ensure that you have sufficient accelerator quota for your project Total GPU quota “GPUs all regions Quota for your specific GPU type “NVIDIA V GPUs per region Enter the Quota into the “filter box and ensure Limit gt If needed you can spin up small quota increases in only a few minutes by selecting the checkbox and the “Edit Quotas Next select “Advanced Options on the left which will give you the remaining menus to configure Under Environment configure “Custom container first in the drop down menu In the “Docker container image text box enter without clicking “select us west docker pkg dev cloud devrel public resources alphafold alphafold on gcp latestSuggested VM configuration Machine type n standard CPUs GB RAM GPU type NVIDIA Tesla V GPU accelerator recommended Longer proteins may require a powerful GPU check your quota configuration for your specific configuration and request a quota increase if necessary as in Step If you don t see the GPU that you want you might need to change your Region Zone settings from Step Learn more here Number of GPUs Make sure the check box “Install NVIDIA GPU driver automatically for me is checked The defaults work for the rest of the menu items Press Create After several minutes a virtual machine will be created and you will be redirected to a JupyterLab instance When launching you may need to confirm the connection to the Jupyter server running on the VM click Confirm If a message about “Build Recommended appears click “Cancel The notebook is ready to run From the menu select Run gt Run all Cells to evaluate the notebook top to bottom or run each cell by individually highlighting and clicking lt shift gt return The notebook has detailed instructions for every step such as where to add the sequence s of a protein you want to fold Congratulations you ve just folded a protein using AlphaFold on the Vertex AI Workbench When you are done with the tutorial you should stop the host VM instance in the “Vertex AI gt Workbench menu to avoid any unnecessary billing Using the AlphaFold predictionsThe protein structure that you just predicted has automatically been saved as selected prediction pdb to the prediction folder of your instance To download it use the File Browser on the left side to navigate to the prediction folder then right click on the selected prediction pdb file and select Download You can then use this file in your own viewers and pipelines You can also explore your prediction directly in the notebook by looking at it in the D viewer While many predictions are highly accurate it should be noted that a small proportion will likely be of lower accuracy To help you interpret the prediction take a look at the model confidence the color of the D structure as well as the Predicted LDDT and Predicted Aligned Error figures in the notebook You can find out more about these metrics and how to interpret AlphaFold structures on this page and in this FAQ If you use AlphaFold e g in publications services or products please cite the AlphaFold paper and if applicable the AlphaFold Multimer paper Looking toward innovation in biology and medicineIn this guide we covered how to get started with AlphaFold using Vertex AI enabling a secure scalable and configurable environment for research in the Cloud If you would like to learn more about AlphaFold the scientific paper and source code are both openly accessible We hope that insights you and others in the scientific community make will unlock many exciting future advances in our understanding of biology and medicine Related ArticleVertex AI NAS higher accuracy and lower latency for complex ML modelsHow Google Cloud s Vertex AI Neural Architecture Search NAS accelerates time to value for sophisticated ML workloads Read Article |
2022-01-20 18:30:00 |
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