投稿時間:2020-05-22 03:21:48 RSSフィード2020-05-22 03:00 分まとめ(29件)

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IT	気になる、記になる…	Microsoft、｢Windows 10 Insider Preview Build 19631｣をFastリング向けにリリース	https://taisy0.com/2020/05/22/121898.html	insiderpreviewbuild	2020-05-21 17:24:56
AWS	AWS	AWS DeepRacer League F1 ProAm Event: Week 2	https://www.youtube.com/watch?v=Ao6Ppdz-F1I	AWS DeepRacer League F ProAm Event Week The race starts now at On the virtual racetrack week of learning kicks off with FORMULA professionals Daniel Ricciardo Tatiana Calderón and Rob Smedley advancing their machine learning knowledge to climb the Time Trial leaderboard Then watch them dodge debris using stereo cameras in the Object Avoidance race format Want to try it for yourself Get started in the AWS DeepRacer League with step by step tutorials training and racingーfree until the end of May terms and conditions apply Watch AWS DeepRacer TV Subscribe to AWS Channel Start racing now DeepRacer Instagram AWS Twitter AWS LinkedIn AWS Instagram AWS Facebook AWSDeepRacer DanielRicciardo TatianaCalderón RobSmedley MachineLearning ReinforcementLearning AutonomousRacing AIML DeepRacer AWSDeepRacerF subject to terms and conditions see aws amazon com deepracer pricing for details	2020-05-21 17:25:56
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	tiktokのweb上に表示されていない情報をスクレイピングしたい	https://teratail.com/questions/263722?rss=all	tiktokのweb上に表示されていない情報をスクレイピングしたい前提・実現したいことスクレイピング初心者です。	2020-05-22 02:48:44
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	vs cord 初心者です！	https://teratail.com/questions/263721?rss=all	vscord	2020-05-22 02:26:15
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	react typescript エラー解決できない	https://teratail.com/questions/263720?rss=all	srcApptsを作り、上記サイトを参考にしたのですがApptsで下記のエラーが出てしまいます。	2020-05-22 02:20:00
海外TECH	Ars Technica	Sega’s Genesis Mini retro game console is down to $50 today	https://arstechnica.com/?p=1677734	console	2020-05-21 17:26:03
海外TECH	DEV Community	What I learned in 6 months at an AI company	https://dev.to/zmarkan/what-i-learned-in-6-months-at-an-ai-company-459k	What I learned in months at an AI companyBack in January I joined a company called DataRobot as a Developer Advocate My job is to inspire enable and represent developers using our machine learning ML products If you re not familiar with DataRobot we provide artificial intelligence AI products and solutions to some of the world s largest and well known enterprises and governmental organizations Before joining I had no meaningful experience in ML data science or AI The farthest I got to ML was building an AI powered chatbot for a product I used to work with I just knew that ML was hard Since then I have built a few AI powered apps of my own so I feel like I can talk a bit more about it This article describes some of the things I learned in my first half year in the AI and ML industry going from complete newbie to someone who can leverage ML in apps AI is everywhere I used to dismiss ML as just another hype in the same bucket as blockchain or virtual reality I thought it was mostly confined to Big Tech academia and hobbyists definitely not something you d interact with on a daily basis This was mostly true about a decade ago Boy was I wrong The reality is many organizations you interact with on a daily basis use ML in some way in their business without you even realising Your bank might use ML for fraud detection your supermarket to forecast how much flour to stock or a factory might use it to detect defects in the products they produce before they get to you Where ML especially shines is with economies of scale When you have huge amounts of data to run through imagine the number of transactions a bank or a large retailer might process and even savings in the low single digit percentages compound dramatically These are only a few examples but ML is often good fit in many areas where you want to automate and augment tasks that would otherwise be hard or tedious for human workers Now where have I heard this one before There s a reason why we call the current rise and rise of AI the Fourth Industrial Revolution Machine Learning is super hard As an industry ML is evolving rapidly It s a moving target on all fronts algorithms frameworks hardware to use cases ranging from academic projects like AlphaGo to self driving cars to medical and health research There s lots of hard science at work pushing the boundaries of what s possible All of this progress is incredibly difficult to keep track of and ensure you re really following the best practices Beyond all the technical difficulties of the bleeding edge you have some great operational challenges as well For example once you ve trained a model how do you ensure that your model remains accurate over time This is crucial especially when data you re using starts to change in ways you haven t foreseen and your models aren t reflective of the real world Last but not least there are also challenges with governance and AI bias Most AIs are seen as black boxes where you can t know why a certain answer was given If a laboratory wants to use AI to help produce a diagnosis they can t risk relying on a black box when human lives are at stake but using ML doesn t have to be a struggle ‍ ️Luckily today s bleeding edge is more accessible than ever We ve solved many hard things You don t need a degree in electronics to use a computer or a networking degree to be a web developer you don t need a data science degree anymore to build and deploy AI The whole AI industry is moving towards democratization and enabling everyone to work with and benefit from AI There are awesome tools out there that let you build and leverage leverage models and you don t even need to touch the frameworks like Tensorflow or Pytorch yourself Take Automated Machine Learning AutoML for example AutoML is DataRobot s product and an associated technique that lets you train dozens of ML models using a variety of algorithms on a single dataset pitting them against each other in order to determine which model is the best for your data What used to take days can now be accomplished in mere minutes New and refined algorithms are constantly being added to AutoML tools making the models they produce ever better and better All you need to do is to press a button We have also made some serious progress towards overcoming operational and governance challenges I mentioned earlier We have tools available that let you monitor your ML models in the wild and that let you know if a model is at risk of becoming inaccurate due to changes in underlying data we call that data drift Our models are also not black boxes anymore and we can explain with increasing confidence why a given model has returned a certain prediction Unsurprisingly this field is called Explainable AI Difficulties with Data Dealing For all the problems we ve solved already one thing remains clear we need data for machine learning and obtaining that data for ML is difficult Datasets need to be representative of your problem domain In very few cases are you able to apply a dataset from the web that works well for your own use case Face and object detection is a good example of where that works that s why many companies are in the business of providing AI powered image and speech recognition software and services Often you will also need to combine multiple data sources from various sections of the business into a single learning dataset unless you re lucky and have a data warehouse at hand already For this SQL rules the world Sometimes you need to revisit your SQL knowledge because you have obviously forgotten everything apart from the most basic commands in the last ish years Speaking for a friend of course Finally and this might be pretty shocking for developers but sometimes constructing a good training dataset also requires lots of human effort at some point in the process Whether you re manually classifying a dataset you re preparing or validating the output of a script it s eyes before AI The Pervasive Popularity of Python Python is one of the most popular programming languages I knew that yet it still surprised me This shouldn t be strange as it s the one language that caters to both data scientists as well as developers as opposed to say Java R or Matlab Python lets you build both apps and manipulate large sets of data with the same syntax One of Python s strongest suits is it s readability Python reads like English it s probably the most English like out of all programming languages This makes it incredibly accessible for learning It also has a mature set of libraries for a wide range of use cases from web development to scientific computing giving it a broad appeal Yet not everything about Python is perfect The language is almost years old some years senior to Java JavaScript and PHP and this age shows One of my pet peeves is the situation with dependency management Sure it comes with a package manager with PyPI but the only way to ensure you re isolating your environment properly is by using an archaic combination of console commands to create and initialise Virtualenv I find Virtualenv so confusing that I have a gist I can refer to each time I deal with a new project Finally the ways developer and data scientists might use Python are vastly different Sure the syntax is the same but the ecosystems vary wildly From the libraries and frameworks you might use for either development or data science all the way to tools used and best practices followed For example data scientists love their Jupyter notebooks They are a sort of dynamic executable documentation where you write part markdown and part code and then execute it alongside the documentation rendering spreadsheets and graphs side by side They are the preferred way to interact with Kaggle competitions and datasets This concept is great for experimentation and therefore ideal for data scientists yet not at all suited for building and maintaining production software something I cherish more as a developer What s more all that fancy dynamic approach generates some extremely hard to review JSON code if you ever decide to host that on GitHub What about the Rise of the Robots You ve probably encountered film books or games talking about the rise and revolt of intelligent machines the Matrix Terminator A Space Odyssey and many others It s easy for media to paint a bleak picture Yet from what I ve seen so far we have little to fear from the AI that we currently possess Indeed AI is developing at a rapid pace some of the brightest people I know are working hard on pushing the boundaries At the same time it s become more and more accessible for you and me to build and benefit from AI and we have some amazing tools available that make it easy to approach So if you d like to see what the bleeding edge looks like and what it can do we recently opened a trial for DataRobot for developers If you d like to try out the latest and greatest of ML tools please reach out to me for access to DataRobot trial at zan datarobot com quoting dev to in the subject That s just a few thoughts on my perspective after months in the AI industry There has been a lot of learning and a lot of surprises and I m more enthusiastic about the future than ever and how dramatically our lives will change because of it What about you What are your thoughts and perspectives on AI and the tools that are available Let me know in the comments	2020-05-21 17:04:39
Apple	AppleInsider - Frontpage News	Apple will maintain bumper to bumper control of 'Apple Car' project, says Morgan Stanley	https://appleinsider.com/articles/20/05/21/apple-will-maintain-bumper-to-bumper-control-of-apple-car-project-says-morgan-stanley	Apple will maintain bumper to bumper control of x Apple Car x project says Morgan StanleyWhen it comes to the long running Apple Car project Morgan Stanley analyst Katy Huberty expects Apple to invest significantly in researching and developing a quot vertically integrated solution quot	2020-05-21 17:16:20
海外TECH	Engadget	Snag discounted Nest routers in Google's Memorial Day sale	https://www.engadget.com/google-memorial-day-sale-amazon-nest-wifi-cam-173018317.html	Snag discounted Nest routers in Google x s Memorial Day saleWith Memorial Day around the corner several retailers including Amazon have put Google s latest Nest devices on sale We ve highlighted some of the more compelling deals on offer this long weekend below Nest WiFiThe highlight of the sale is the Ne	2020-05-21 17:30:44
海外TECH	Engadget	Netflix will start canceling long-dormant subscriptions	https://www.engadget.com/netflix-inactive-account-cancel-171624244.html	Netflix will start canceling long dormant subscriptionsNetflix viewership is way up while most of us are sheltering in place but it turns out there are hundreds of thousands of subscribers who haven t actually used their accounts in forever The company doesn t want people to pay for a service they re n	2020-05-21 17:16:24
海外TECH	Engadget	Samsung lets you enjoy nature with its 2,000-nit outdoor QLED TV	https://www.engadget.com/samsung-terrace-outdoor-tv-170045481.html	Samsung lets you enjoy nature with its nit outdoor QLED TVIf hosting barbeques and backyard parties is your thing you may want to up your game with an outdoor TV And if picture quality is a concern Samsung s new Terrace TV could be worth checking out It s built specifically for the outdoors has a K re	2020-05-21 17:00:52
海外TECH	Engadget	Samsung's 2020 soundbars include models with Alexa and object tracking	https://www.engadget.com/samsung-releases-2020-soundbars-170001333.html	Samsung x s soundbars include models with Alexa and object trackingSamsung s batch of soundbars includes many more than just the outdoor friendly Terrace model It s shipping its Flagship Q series Lifestyle S series and T series bars this month with all of them available this spring The high end Q range sho	2020-05-21 17:00:43
Cisco	Cisco Blog	The Joy of Deal-Making: From Sports Cards to Investments and Acquisitions	https://blogs.cisco.com/news/the-joy-of-deal-making-from-sports-cards-to-investments-and-acquisitions	The Joy of Deal Making From Sports Cards to Investments and AcquisitionsDerek Idemoto recently named SVP of Corporate Development and Cisco Investments shares how he has the best job in the world managing a team of domain experts partnering with business unit leaders on strategy and engaging with venture capitalists investment banks entrepreneurs and founders The post The Joy of Deal Making From Sports Cards to Investments and Acquisitions appeared first on Cisco Blogs	2020-05-21 18:00:11
海外科学	NYT > Science	Scientists Predict Above-Average Atlantic Hurricane Season Amid Virus Crisis	https://www.nytimes.com/2020/05/21/climate/hurricane-season-2020-noaa.html	Scientists Predict Above Average Atlantic Hurricane Season Amid Virus CrisisThis year s season is complicated by the coronavirus pandemic which makes emergency management practices like group shelters risky	2020-05-21 17:31:51
海外科学	NYT > Science	Coronavirus Live News and Updates	https://www.nytimes.com/2020/05/21/us/coronavirus-live-updates.html	Coronavirus Live News and UpdatesTrump headed to Michigan a day after threatening to withhold federal funds from the state Imposing restrictions in the U S even a week earlier could have saved thousands of lives researchers found Job losses remain vast	2020-05-21 17:57:22
海外科学	NYT > Science	Coronavirus World News Tracker	https://www.nytimes.com/2020/05/21/world/coronavirus-news.html	Coronavirus World News TrackerWarning of a potential “big explosion in cases China is imposing a Wuhan style lockdown in one region even as it opens others Domestic flights in India will resume next week	2020-05-21 17:31:29
海外TECH	WIRED	The Hypocrisy of Mike Pompeo	https://www.wired.com/story/mike-pompeo-hypocrisy	fronts	2020-05-21 17:16:20
金融	金融庁ホームページ	新型コロナウイルス感染症の影響に関する企業情報の開示について公表しました。	https://www.fsa.go.jp/news/r1/sonota/20200521.html	企業情報	2020-05-21 17:35:00
海外ニュース	Japan Times latest articles	Two men who allegedly helped Carlos Ghosn flee Japan arrested in U.S.	https://www.japantimes.co.jp/news/2020/05/21/national/crime-legal/carlos-ghosn-escape-arrest/	Two men who allegedly helped Carlos Ghosn flee Japan arrested in U S A former U S Green Beret and his son who are wanted by Japanese authorities were arrested by U S marshals in Massachusetts on Wednesday	2020-05-22 03:24:11
海外ニュース	Japan Times latest articles	SoftBank to sell 5% of Japan wireless arm for up to ¥313 billion	https://www.japantimes.co.jp/news/2020/05/21/business/softbank-japan-5pc-sale/	opaque	2020-05-22 03:22:11
海外ニュース	Japan Times latest articles	Tokyo hits target for lifting virus curbs as weekly cases dip below 70	https://www.japantimes.co.jp/news/2020/05/21/national/tokyo-coronavirus-cases-state-emergency/	Tokyo hits target for lifting virus curbs as weekly cases dip below Experts have been closely watching whether the spread of infection has fallen below new cases per people over a seven day period	2020-05-22 02:19:50
海外ニュース	Japan Times latest articles	Mitigating China’s economic coercion	https://www.japantimes.co.jp/opinion/2020/05/21/commentary/mitigating-chinas-economic-coercion/	tactics	2020-05-22 04:00:06
海外ニュース	Japan Times latest articles	The threat of robots taking our jobs gets real	https://www.japantimes.co.jp/opinion/2020/05/21/commentary/japan-commentary/threat-robots-taking-jobs-gets-real/	doesn	2020-05-22 03:59:23
ニュース	BBC News - Home	Coronavirus: Virus test with 20-minute results being trialled	https://www.bbc.co.uk/news/uk-52762153	hancock	2020-05-21 17:44:31
ニュース	BBC News - Home	Coronavirus: Evening update as test with 20-minute results trialled	https://www.bbc.co.uk/news/uk-52758539	outbreak	2020-05-21 17:01:13
ニュース	BBC News - Home	China proposes controversial Hong Kong security law	https://www.bbc.co.uk/news/world-asia-china-52759578	social	2020-05-21 17:38:49
ニュース	BBC News - Home	Grandmother ordered to delete Facebook photos under GDPR	https://www.bbc.co.uk/news/technology-52758787	photos	2020-05-21 17:09:46
ニュース	BBC News - Home	Coronavirus: Resort locals 'shocked and angry' at beach crowds	https://www.bbc.co.uk/news/uk-england-52754039	fears	2020-05-21 17:01:19
ニュース	BBC News - Home	No WSL side should be relegated, says Brighton boss Powell	https://www.bbc.co.uk/sport/football/52762385	basis	2020-05-21 17:21:14