投稿時間:2023-11-09 03:13:07 RSSフィード2023-11-09 03:00分まとめ(11件)

カテゴリー	サイト名	記事タイトル	リンクURL	頻出ワード・要約等	登録日
AWS	AWS Big Data Blog	Implement fine-grained access control in Amazon SageMaker Studio and Amazon EMR using Apache Ranger and Microsoft Active Directory	https://aws.amazon.com/blogs/big-data/implement-fine-grained-access-control-in-amazon-sagemaker-studio-and-amazon-emr-using-apache-ranger-and-microsoft-active-directory/	In this post we show how you can authenticate into SageMaker Studio using an existing Active Directory AD with authorized access to both Amazon S and Hive cataloged data using AD entitlements via Apache Ranger integration and AWS IAM Identity Center successor to AWS Single Sign On With this solution you can manage access to multiple SageMaker environments and SageMaker Studio notebooks using a single set of credentials Subsequently Apache Spark jobs created from SageMaker Studio notebooks will access only the data and resources permitted by Apache Ranger policies attached to the AD credentials inclusive of table and column level access	2023-11-08 17:52:47
AWS	AWS Machine Learning Blog	Optimize for sustainability with Amazon CodeWhisperer	https://aws.amazon.com/blogs/machine-learning/optimize-for-sustainability-with-amazon-codewhisperer/	This post explores how Amazon CodeWhisperer can help with code optimization for sustainability through increased resource efficiency Computationally resource efficient coding is one technique that aims to reduce the amount of energy required to process a line of code and as a result aid companies in consuming less energy overall In this era of cloud computing	2023-11-08 17:41:32
技術系ブログ等	Developers.IO	GitHub Copilot Chat がコマンド実行に失敗した原因と解決方法の提案をしてくれるようになりました	https://dev.classmethod.jp/articles/github-copilot-chat-now-provides-reasons-and-solutions-for-command-execution-failures/	githubcopilotchat,delivery,vscode	2023-11-08 17:43:56
技術系ブログ等	Developers.IO	更に多くの技術記事をお届けすべく開発中、プロトタイプ版のエディタとプレビュー機能の一部を紹介します	https://dev.classmethod.jp/articles/new-blog-editor-prototype/	developersio,エディタ,ブログサイト	2023-11-08 17:33:41
技術系ブログ等	Developers.IO	RDS ダッシュボードで表示される DB インスタンスの個数が実際のインスタンスの個数と異なるのはなぜでしょうか?	https://dev.classmethod.jp/articles/tsnote-rds-instance-number/	インスタンス,コンソール,ダッシュボード	2023-11-08 17:06:21
海外TECH	Ars Technica	After luring customers with low prices, Amazon stuffs Fire TVs with ads	https://arstechnica.com/?p=1982032	OEMs are increasingly focused on using TVs as a way to show customers ads	2023-11-08 17:46:09
海外TECH	AppleInsider - Frontpage News	'Resident Evil 4' unleashes horror on iPhone 15 Pro, iPad, and Mac on December 20	https://appleinsider.com/articles/23/11/08/resident-evil-4-unleashes-horror-on-iphone-15-pro-ipad-and-mac-on-december-20?utm_medium=rss	Prepare for spine tingling thrills on the iPhone Pro as Capcom s Resident Evil hits Apple devices this December offering a universal gaming experience for survival horror fans Image Credit CapcomCapcom has officially announced that the highly acclaimed Resident Evil is set to land on Apple s iPhone Pro along with iPads and Macs equipped with Apple Silicon starting December Read more	2023-11-08 17:25:58
海外TECH	Engadget	The Resident Evil 4 remake will hit iPhone 15 Pro, iPad and Mac on December 20	https://www.engadget.com/the-resident-evil-4-remake-will-hit-iphone-15-pro-ipad-and-mac-on-december-20-172920550.html?src=rss	If you happen to open up a gift containing an iPhone Pro a iPad or even an M powered MacBook Pro this holiday season you ll be able to play one of this year s biggest games on your new device pretty swiftly Capcom has announced that the Resident Evil remake will hit iPhone Pro and iPhone Pro Max as well as iPads and Macs powered by an M or later chipset on December The Separate Ways expansion will be available on the same day The remake of the survival horror classic will have Universal Purchase support so you ll only need to buy it once to play it across iPhone iPad and Mac There s cross progression too so when you don t feel like sitting in front of your iMac anymore you can move to your couch and continue where you left off on your iPhone or iPad You can try a chunk of the game for free before you decide to take the plunge and buy it That ll give you a chance to see how well Resident Evil runs on your device and figure out whether the touch controls on iPhone and iPad work for you though there s controller support as well You ll be able to play using a keyboard and mouse on Mac if you prefer Apple has been focusing a bit more on bringing high profile games to its devices as of late Resident Evil Village is also available on iPhone Pro iPhone Pro Max and Apple Silicon powered iPads while it emerged this week that hit Stray is coming to Mac in December Assassin s Creed Mirage nbsp and Death Stranding are among the other games slated to hit Apple devices in the coming months This article originally appeared on Engadget at	2023-11-08 17:29:20
海外TECH	Engadget	Apple's 10.2-inch iPad drops to $249 in an early Black Friday deal	https://www.engadget.com/apples-102-inch-ipad-drops-to-249-in-an-early-black-friday-deal-171501499.html?src=rss	Apple s th gen entry level iPad is on sale as part of an early Black Friday Amazon deal You can snag the tablet for instead of the usual price of That s a savings of and constitutes a discount of nearly percent This is the best price we ve seen all year for Apple s tablet This is the standard inch iPad design that s been around since well forever Despite lacking some of the more advanced features of the iPad Pro and some of the portability of the iPad Air this model still offers plenty of bang for your buck There s a reason after all that it made our list of best tablets in even with stiff competition This model ships with GB of storage an A Bionic chip and a decent battery that lasts a full day of use before requiring a trip to the outlet The speakers are a bit janky but wait for it the th gen iPad actually has a bona fide headphone jack The cameras are nothing spectacular but tablets have never been on the cutting edge of image capturing tech due to their increased size when compared to smartphones nbsp The A Bionic chip is capable but lacks some of the oomph of Apple s newer chipsets like the M and above Even with the relatively ancient chipset this iPad boasts more than enough speed for casual tasks It also integrates with first party accessories like Apple s Smart Keyboard and the first gen stylus At this is a great deal for those looking for a simple tablet to watch movies on and peruse the web Your Black Friday Shopping Guide See all of Yahoo s Black Friday coverage here Follow Engadget for Black Friday tech deals Learn about Black Friday trends on In The Know Hear from Autoblog s experts on the best Black Friday deals for your car garage and home and find Black Friday sales to shop on AOL handpicked just for you This article originally appeared on Engadget at	2023-11-08 17:15:01
海外TECH	Engadget	NVIDIA's Eos supercomputer just broke its own AI training benchmark record	https://www.engadget.com/nvidias-eos-supercomputer-just-broke-its-own-ai-training-benchmark-record-170042546.html?src=rss	Depending on the hardware you re using training a large language model of any significant size can take weeks months even years to complete That s no way to do business ーnobody has the electricity and time to be waiting that long On Wednesday NVIDIA unveiled the newest iteration of its Eos supercomputer one powered by more than H Tensor Core GPUs and capable of training a billion parameter GPT model on billion tokens in under four minutes That s three times faster than the previous benchmark on the MLPerf AI industry standard which NVIDIA set just six months ago Eos represents an enormous amount of compute It leverages GPUs strung together using NVIDIA s Infiniband networking moving a petabyte of data a second and terabytes of high bandwidth memory PB sec aggregate bandwidth and PB sec interconnected to deliver exaflops of AI processing power The entire cloud architecture is comprised of nodes ーindividual servers that companies can rent access to for around a month to expand their AI capabilities without building out their own infrastructure nbsp In all NVIDIA set six records in nine benchmark tests the minute notch for GPT a minute mark to to train a Stable Diffusion model using Hopper GPUs a minute even to train DLRM seconds for RetinaNet seconds for D U Net and the BERT Large model required just seconds to train NVIDIA was quick to note that the billion parameter version of GPT used in the benchmarking is not the full sized iteration of the model neither was the Stable Diffusion model The larger GPT offers around trillion parameters and is just flat out too big and unwieldy for use as a benchmarking test For example it d take months to train it on the older A system with GPUs ーthough Eos needs just eight days nbsp So instead NVIDIA and MLCommons which administers the MLPerf standard leverage a more compact version that uses billion tokens the smallest denominator unit of data that generative AI systems understand This test uses a GPT version with the same number of potential switches to flip s the full size those billion parameters just a much more manageable data set to use in it a billion tokens vs trillion The impressive improvement in performance granted came from the fact that this recent round of tests employed H GPUs compared to the Hopper GPUs the company used in June s benchmarking trials However NVIDIA explains that despite tripling the number of GPUs it managed to maintain x scaling in performance ーan percent efficiency rate ーthrough the generous use of software optimization quot Scaling is a wonderful thing quot Salvator said quot But with scaling you re talking about more infrastructure which can also mean things like more cost An efficiently scaled increase means users are quot making the best use of your of your infrastructure so that you can basically just get your work done as fast as possible and get the most value out of the investment that your organization has made quot The chipmaker was not alone in its development efforts Microsoft s Azure team submitted a similar H GPU system for this round of benchmarking and achieved results within two percent of NVIDIA s quot The Azure team have been able to achieve a performance that s on par with the Eos supercomputer quot Dave Salvator Director of Accelerated Computing Products at NVIDIA told reporters during a Tuesday prebrief What s more quot they are using Infiniband but this is a commercially available instance This isn t some pristine laboratory system that will never have actual customers seeing the benefit of it This is the actual instance that Azure makes available to its customers quot nbsp NVIDIA plans to apply these expanded compute abilities to a variety of tasks including the company s ongoing work in foundational model development AI assisted GPU design neural rendering multimodal generative AI and autonomous driving systems quot Any good benchmark looking to maintain its market relevance has to continually update the workloads it s going to throw at the hardware to best reflect the market it s looking to serve quot Salvator said noting that MLCommons has recently added an additional benchmark for testing model performance on Stable Diffusion tasks quot This is another exciting area of generative AI where we re seeing all sorts of things being created quot ーfrom programming code to discovering protein chains These benchmarks are important because as Salvator points out the current state of generative AI marketing can a bit of a quot Wild West quot The lack of stringent oversight and regulation means quot we sometimes see with certain AI performance claims where you re not quite sure about all the parameters that went into generating those particular claims quot MLPerf provides the professional assurance that the benchmark numbers companies generate using its tests quot were reviewed vetted in some cases even challenged or questioned by other members of the consortium quot Salvator said quot It s that sort of peer reviewing process that really brings credibility to these results quot NVIDIA has been steadily focusing on its AI capabilities and applications in recent months quot We are at the iPhone moment for AI quot CEO Jensen Huang said during his GTC keynote in March At that time the company announced its DGX cloud system which portions out slivers of the supercomputer s processing power ーspecifically by either eight H or A chips running GB of VRAM of memory in total The company expanded its supercomputing portfolio with the release of DGX GH at Computex in May This article originally appeared on Engadget at	2023-11-08 17:00:42
YouTube Channels	google	POV: Your favorite camera happens to be a phone #Pixel8 #Photography #Google #Shorts	https://www.youtube.com/watch?v=Dq6U_hISNEw	your,camera,favorite	2023-11-08 17:13:35