投稿時間:2021-08-11 01:31:27 RSSフィード2021-08-11 01:00 分まとめ(43件)

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IT	気になる、記になる…	ミニLEDディスプレイ搭載やマルチカラー化が特徴の新型｢MacBook Air｣は来年半ばに登場か	https://taisy0.com/2021/08/11/143994.html	apple	2021-08-10 15:17:58
AWS	AWS Big Data Blog	How Magellan Rx Management used Amazon Redshift ML to predict drug therapeutic conditions	https://aws.amazon.com/blogs/big-data/how-magellan-rx-management-used-amazon-redshift-ml-to-predict-drug-therapeutic-conditions/	How Magellan Rx Management used Amazon Redshift ML to predict drug therapeutic conditionsThis post is co written with Karim Prasla and Deepti Bhanti from Magellan Rx Management as the lead authors Amazon Redshift ML makes it easy for data scientists data analysts and database developers to create train and use machine learning ML models using familiar SQL commands in Amazon Redshift data warehouses The ML feature can be …	2021-08-10 15:53:32
AWS	AWS Compute Blog	Building well-architected serverless applications: Building in resiliency – part 2	https://aws.amazon.com/blogs/compute/building-well-architected-serverless-applications-building-in-resiliency-part-2/	Building well architected serverless applications Building in resiliency part This series of blog posts uses the nbsp AWS Well Architected Tool nbsp with the nbsp Serverless Lens nbsp to help customers build and operate applications using best practices In each post I address the serverless specific questions identified by the Serverless Lens along with the recommended best practices See the nbsp introduction post nbsp for a table of contents and explanation of the example application Reliability question REL …	2021-08-10 15:34:08
AWS	AWS Open Source Blog	Integrating Amazon EFS with Podman running on Red Hat Enterprise Linux	https://aws.amazon.com/blogs/opensource/integrating-amazon-efs-with-podman-running-on-red-hat-enterprise-linux/	Integrating Amazon EFS with Podman running on Red Hat Enterprise LinuxThis post was written by Mayur Shetty and Vani Eswarappa Podman is a daemonless open source Linux native tool designed for finding running building sharing and deploying applications using Open Containers Initiative OCI containers and container images on a Red Hat Enterprise Linux RHEL system Similar to other container engines such as Docker Podman depends on …	2021-08-10 15:28:17
Google	Official Google Blog	What’s new with automated bidding in Display & Video 360	http://feedproxy.google.com/~r/blogspot/MKuf/~3/iQMz64lE138/	What s new with automated bidding in Display amp Video Automated bidding in Display amp Video helps advertisers improve performance by adjusting bids in real time to achieve the results they care about Using Google s advanced machine learning it evaluates and tailors your bids for every auction to help predict the likelihood of a conversion Today we re introducing improvements to the automated bidding solutions in Display amp Video First we re introducing a new interface where you can set Custom Bidding multipliers without writing any code Second we re adding support for pay for viewable impressions to outcome based buying Lastly we re introducing a new report to give you more insights into how automated bidding places bids to hit your goals Simplified setup for Custom BiddingCustom Bidding is an automated bidding strategy that allows you to assign values to different events such as a conversion or a purchase Marketers told us that Custom Bidding delivers great results because it helps tailor their bidding to their unique goals but we also learned that they can t always use it because they might lack the technical resources to build the required scripts In addition to uploading a custom script you now have the option to select Floodlight activities and assign them the value you want in an easy to use interface For example you can assign a higher value to high value purchases so that your ads are tuned to specifically increase revenue instead of driving more transactions In the future you will also be able to use Analytics goals in the same way Choose goal builder to assign values to different Floodlight activities and use them for Custom Bidding Outcome based buying for branding campaignsUp until now outcome based buying only supported performance campaigns by allowing marketers to pay per click for campaigns that use target cost per acquisition CPA or maximize conversions strategies To make better use of your branding budgets we ve introduced pay per viewable impressions as measured by Active View for your display and video campaigns This allows you to optimize for maximize active view So you ll reduce budget waste and achieve better performance by only paying for impressions that are viewable instead of each impression Learn how automated bidding works for your campaignsWe ve heard that you d like to learn more about how the automated bidding algorithm places your bids We re introducing a new report Bidding Insights that will give you more visibility into how automated bidding is working First you will be able to monitor what the average cost per thousand impression CPM bid is based on the likelihood of an impression to lead to a conversion or a click This way you ll see that automated bidding is increasing your bids for impressions that generate better returns for you In addition Bidding Insights will show you how many impressions you won based on their likelihood to lead to the outcome you selected for automated bidding Bidding insights will become available after seven days of activity and after there is sufficient data to provide meaningful insights in all campaigns that are using automated bidding Access Bidding insights at the IO level where the bidding strategy is displayedThese new bidding features allow you to quickly adapt to consumer behavior by giving you more flexibility and customization for your bidding strategies across both brand and performance campaigns This post closes our Display amp Video product announcements series covering new features to support your business recovery and growth Stay tuned for additional updates on Campaign Manager soon	2021-08-10 15:21:00
python	Pythonタグが付けられた新着投稿 - Qiita	こどもの自由研究にGCP AppEngineアプリ作成のススメ	https://qiita.com/Super_Sire/items/7b12966653bf3a106c05	こどもの自由研究にGCPAppEngineアプリ作成のススメはじめに小学校年生の長男の自由研究でGoogleCloudPlatformのAppEngineにアプリ底辺と高さの値を入力すると三角形の面積を求めるアプリをデプロイすることに取り組んでみたという記事です。	2021-08-11 00:13:25
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Xceed.Wpf.Toolkit.PropertyGrid にて、動的プロパティ登録をしたい	https://teratail.com/questions/353706?rss=all	XceedWpfToolkitPropertyGridにて、動的プロパティ登録をしたいいつも活用させていただいております。	2021-08-11 00:56:08
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Unity androidのビルドのエラーについて	https://teratail.com/questions/353705?rss=all	UnityandroidのビルドのエラーについてUnityでゲームを作成したのですが、ビルドでエラーが出てしまいテストができません。	2021-08-11 00:38:25
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	atcoder abc213dに関する質問	https://teratail.com/questions/353704?rss=all	atcoderabcdに関する質問前提・実現したいことatcoderの問題でエラーが出たのですが、どうしたらいいのかわからないのでご教授お願い致します。	2021-08-11 00:36:17
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Geocoding APIを利用する際、位置情報利用許可のアラートを任意のタイミングで表示したい	https://teratail.com/questions/353703?rss=all	GeocodingAPIを利用する際、位置情報利用許可のアラートを任意のタイミングで表示したい前提・実現したいことGeocodingnbspAPIとjavascriptを使用して、対象住所と現在地の距離を表示するwebページを構築しています。	2021-08-11 00:31:21
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	TextViewに入力された文章をString型で取得したい	https://teratail.com/questions/353702?rss=all	TextViewに入力された文章をString型で取得したいTextViewに入力された文章をString型で取得したいSwift初学者です。	2021-08-11 00:17:05
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Pythonでpathlibを使って総ファイル数と総ファイルサイズを出力したい。	https://teratail.com/questions/353701?rss=all	Pythonでpathlibを使って総ファイル数と総ファイルサイズを出力したい。	2021-08-11 00:00:50
AWS	AWSタグが付けられた新着投稿 - Qiita	スマートホーム目指してラズパイ触ってみた(5) 〜Amazon QuickSight連携編〜	https://qiita.com/keilog/items/c1d0b69c3892904e48eb	QuickSightのアカウントが作成できたら、datasetに移動し、newdatasetを選択します。	2021-08-11 00:13:06
Docker	dockerタグが付けられた新着投稿 - Qiita	VisualStudio＋CppUTestのJenkinsでの設定	https://qiita.com/h1day/items/d7af1240d71a853c965a	「ビルド手順の追加」を押して、「MSBuildの実行」を選びます。	2021-08-11 00:11:57
Docker	dockerタグが付けられた新着投稿 - Qiita	ReSharperでコードのチェック(無料)をJenkinsで実施	https://qiita.com/h1day/items/3f837dc807f24baba1f5	Jenkinsで「ビルド手順の追加」を押して、「Windowsバッチコマンドの実行」を選びます。	2021-08-11 00:11:53
Docker	dockerタグが付けられた新着投稿 - Qiita	VisualStudioでビルドしてメール通知するJenkinsの環境をDockerで楽に作る	https://qiita.com/h1day/items/b89ead13faee1d80b736	DockerのホストであるwindowsはJenkinsのエージェントを兼任します。	2021-08-11 00:06:49
Linux	CentOSタグが付けられた新着投稿 - Qiita	CentOS8でalienをインストールしたかったけどうまくいかなかった	https://qiita.com/akase244/items/29ecf3463e8123b11c7b	dnfコマンドではインストールできなさそうなので、EPELのページからalienのRPMパッケージのURLを特定して、直接ダウンロードしたものをrpmコマンドでインストールしてみました。	2021-08-11 00:27:02
GCP	gcpタグが付けられた新着投稿 - Qiita	こどもの自由研究にGCP AppEngineアプリ作成のススメ	https://qiita.com/Super_Sire/items/7b12966653bf3a106c05	こどもの自由研究にGCPAppEngineアプリ作成のススメはじめに小学校年生の長男の自由研究でGoogleCloudPlatformのAppEngineにアプリ底辺と高さの値を入力すると三角形の面積を求めるアプリをデプロイすることに取り組んでみたという記事です。	2021-08-11 00:13:25
Ruby	Railsタグが付けられた新着投稿 - Qiita	Rails と SQL Server の組み合わせで DB ユーザーのパスワードを '#' からはじまるものを使うと Rails アプリから接続できない	https://qiita.com/blueberrystream/items/889632fc7e8a9cc7ab7f	usermachineappcatenvDATABASEHOSTdbDATABASEUSERNAMEuserDATABASEPASSWORDhogehogeusermachineappbinrailsrSamplefindappvendorbundlerubygemstinytdslibtinytdsclientrbinconnectLoginfailedforuseruserTinyTdsErrorfromappvendorbundlerubygemstinytdslibtinytdsclientrbininitializefrombinrailsinltmaingtusermachineappパスワードをからはじまらないものにしているときusermachineappcatenvDATABASEHOSTdbDATABASEUSERNAMEanotheruserDATABASEPASSWORDnotstartswithhashusermachineappbinrailsrSamplefindappvendorbundlerubygemsactiverecordlibactiverecordcorerbinfindCouldntfindSamplewithidActiveRecordRecordNotFoundfromappvendorbundlerubygemsrailtieslibrailscommandsrunnerrunnercommandrbinltmaingtfrombinrailsinltmaingtusermachineappfindには失敗していますが、接続はできています。	2021-08-11 00:45:20
技術ブログ	Mercari Engineering Blog	新しいメルカリ Web の話	https://engineering.mercari.com/blog/entry/20210810-the-new-mercari-web/	hellip	2021-08-10 17:00:04
海外TECH	DEV Community	Attacks on privacy. Why do we need PETs?	https://dev.to/oblivious/attacks-on-privacy-why-do-we-need-pets-18an	Attacks on privacy Why do we need PETs In this post we are going to look at some examples of reconstruction attacks i e how from seemingly anonymous data one can reveal most sensitive information about individuals Let s say you are analysing data Maybe you are running some ML prediction algorithms training your models calculating different statistics and sharing your outputs It may seem that simply removing all the personally identifiable information such as names addresses or telephone numbers should suffice to make sure that no private information is revealed after the analysis That might even be sufficient to be considered anonymous data according to some privacy laws If so then surely you don t need to be too worried right Perhaps instead you are aggregating data over many individuals so you don t even think about any privacy issues An extremely trivial example of how things might go wrong with aggregate statistics is revealing an average salary of say employees and then publishing an average of after a new employee has joined This allows anyone with access to these aggregates to easily figure a salary of a new employee Even though that might seem like an obvious thing one can easily avoid it becomes much trickier when revealing a range of statistics and aggregates in different contexts Things get even more challenging when such information is combined with other data sources about the same individuals If you don t follow a structured approach to data sharing you ve got a good chance of compromising the privacy of the data source Many large companies and governments have made these mistakes so let s talk about how you can avoid the same peril Few data points suffice to identify individualsEven if we think of ourselves as a needle in a haystack of bn people in the world a range of studies has shown that very few data points suffice to uniquely or with high probability identify an individual As an example spatiotemporal points taken from credit card metadata are sufficient to uniquely reidentify of individuals Similarly in another study that considered mobility data taken from mobile phone devices with a time resolution of h and the spatial resolution determined by the distance between antennas only randomly drawn points sufficed to identify of individuals and two randomly drawn points identified over The task is even easier for an attacker who cleverly uses non uniform sampling e g by exploiting the fact that calls from an office at am might provide more information about an individual than calls at pm when the office is crowded Similar attacks can be performed by using other mobility data from geotagging used by social media platforms smartphone apps and others It means that even when you completely remove addresses account numbers and other PII it is very easy to reidentify people from such a dataset Almost all re identification attacks make use of this However sensitive information can be compromised even if the identifiers are not unique It is well known that of Americans can be uniquely identified just from their gender birthday and ZIP code To prevent such attacks the commonly used method is to group and coarsen the identifiers by reporting only the age brackets giving only the first three digits of ZIP codes etc resulting in quasi identifiers This is done in such a way as to guarantee k anonymity As a result for any record and any set of quasi identifiers there are at least k other records with the same quasi identifiers It is a very common and natural way of trying to ensure privacy Unfortunately it can often fail in protecting sensitive information too A straightforward example of that is the so called homogeneity attack Given a dataset of different medical conditions clearly very sensitive information for individuals whose age ZIP codes and other identifiers have been coarsened in such a way as to ensure k anonymity it may still be possible to recover the sensitive information Simply all k individuals for a given set of quasi identifiers can have the same medical conditions Hence if a neighbour knows your age your ZIP code and gender it may well be that you fall in the category where all other k individuals have the same condition as you Basically the situation arises whenever the sensitive information is not very diverse The scarcity of data severely impacts k anonymity The effect becomes even more dominant for high dimensional data with a large number of quasi identifiers when even ensuring k anonymity becomes harder The lesson from this is that inference attacks are often successful even when very few and coarse grained data points are revealed Linkage attacks connecting information from different sourcesInformation disclosed by one dataset might not be all the information publicly available about the individual This may initially be obvious but implies very non trivial attacks By joining information from such a dataset with another one or some background information can allow for very successful inference attacks Such background information might not even be sensitive Background information that a particular medical condition is much more prevalent in a given age group or sex can increase the probability of identifying medical conditions for individuals in our previous example Exploiting side information about individuals can lead to spectacular attacks Arguably one of the most famous is the one performed by Latanya Sweeney in A couple of years before that Massachusetts Group Insurance Company had shared with researchers and sold to industry medical data that included performed medical procedures prescribed medications ethnicity but also people s gender date of birth and ZIP code Governor Bill Weld assured that the data had been fully anonymised Sweeney paid for the Cambridge Massachusetts voter registration list which also contained these characteristics Thus by cross referencing the two databases she identified Weld s entry in GIC and his medical records Another example comes from journalist Svea Eckert and data scientist Andreas Dewes They set up a fake AI start up pretended to be needing some data for training their ML models and they did obtain a free database of browsing history for m German users with a long list of bn URLs and associated timestamps All this from a data broker Even though no other identifiers were available they still managed to re identify the browsing history of politicians judges and even their work colleagues One way they could achieve it was by noticing that a Twitter s user who visits Twitter s analytics page leaves a trace of his or her username in the corresponding URL Hence by going to the corresponding Twitter profiles Eckert and Dewes could identify such individuals Interestingly they also found out about a police force s undercover operation The information about it was in Google Translate URLs which contain the whole text one inputs to the translator Even what might seem like fairly insensitive data can tell a lot about us Netflix learned it the hard way when it shared the database with movie ratings made by its users for the Netflix Prize competition They stripped off all the PII from the data but as you probably know by now it was still possible to identify some of the users This was done by the research from the University of Texas which linked Netflix s dataset to IMDB In this way information about people s political preferences and even their sexual orientation was compromised The main takeaway from this part is that linking information from different data sources can lead to severe privacy leakages Attacks on ML modelsAll the examples so far were considered with attacks based on some publicly released data However one does not need to have direct access to such data to learn about sensitive information of individuals Another example comes from attacks on machine learning models It has been shown that that one can learn about statistical properties of trained datasets simply from parameters of trained machine learning models Not only that it is also possible to perform attacks given only black box access to a model by using it to run predictions on input data Researchers from Cornell Tech have shown that even models trained on MLaaS offerings of Google and Amazon can be open to membership inference attacks In this scenario an attacker can say whether a given record was used as a training dataset ‌ How to handle this ‌In the current data economy a vast of information is shared between companies organisations and individuals Banning this is probably unfeasible and counterproductive in the long term We believe that privacy enhancing technologies need to employ in order to tackle the privacy challenges Multi party computation can allow for encryption during computation Secure enclaves can ensure that data is processed only according to a pre agreed specification Differential privacy can be employed in training ML models building synthetic data and sharing aggregates with privacy guarantees We will be writing more about all these different PETs However if you have encountered any such privacy challenges and you wish to run PETs in your environment give us a shout References De Montjoye Yves Alexandre Laura Radaelli and Vivek Kumar Singh Unique in the shopping mall On the reidentifiability of credit card metadata Science De Montjoye Yves Alexandre et al Unique in the crowd The privacy bounds of human mobility Scientific reports Sweeney Latanya k anonymity A model for protecting privacy International Journal of Uncertainty Fuzziness and Knowledge Based Systems Machanavajjhala Ashwin et al l diversity Privacy beyond k anonymity ACM Transactions on Knowledge Discovery from Data TKDD es Shokri Reza et al Membership inference attacks against machine learning models IEEE Symposium on Security and Privacy SP IEEE Narayanan Arvind and Vitaly Shmatikov Robust de anonymization of large sparse datasets IEEE Symposium on Security and Privacy sp IEEE Aggarwal Charu C On k anonymity and the curse of dimensionality VLDB Vol	2021-08-10 15:26:13
海外TECH	DEV Community	What is Good Project As Frontend Developer	https://dev.to/nikhil27b/what-is-good-project-as-frontend-developer-4k9l	What is Good Project As Frontend Developer What is Good Project Hey guys today I talk about the good project in this post A good project create a important role in your placement or job A Good project is really helpful to improve your programming skills also you learn lot with that types of projects almost your all quarries are solved with good projects What is bad practice A single page website or static website with fixed content for e g Single Page Business Website Single Page portfolio website or no other use of any rest api in your project also a website builds with drag or drop platform or WordPress website this are all bad project for the your resume What is good practice We talk about bad practice but you can fixed that using this projects ideas A Social media app E commerce App Messaging app this are all the good projects you can be create your own version with this ideas or clone this website like WhatsApp clone website or Instagram clone website Use apis with your project or also you can be try firebase or mongodb and maps api to your projects that create your project and resume strong If you done this all then follow this step also please host your project makes live to use other also there are many free hosting companies like firebase or Heroku also keep your project open source there are really helpful for other too d if are you reading till now then please like this post and follow for more For more content follow me on Instagram developer nikhil Thank you	2021-08-10 15:03:49
Apple	AppleInsider - Frontpage News	Best deals for August 10 - 50% JBL Studio Loudspeaker, Logitech mice and more!	https://appleinsider.com/articles/21/08/10/best-deals-for-august-10---50-jbl-studio-loudspeaker-logitech-mice-and-more?utm_medium=rss	Best deals for August JBL Studio Loudspeaker Logitech mice and more Tuesday s best deals include Logitech Gaming Mice off a JBL Studio Loudspeaker Acer accessory deals and more Deals Tuesday August Shopping online for the best discounts and deals can be an annoying and challenging task So rather than sifting through miles of advertisements check out this list of sales we ve hand picked just for the AppleInsider audience Read more	2021-08-10 15:34:53
Apple	AppleInsider - Frontpage News	Fed expansion of Apple's CSAM system barred by 4th Amendment, Corellium exec says	https://appleinsider.com/articles/21/08/10/fed-expansion-of-apples-csam-system-barred-by-4th-amendment-corellium-exec-says?utm_medium=rss	Fed expansion of Apple x s CSAM system barred by th Amendment Corellium exec saysGovernment abuses of Apple s CSAM iCloud detection system in the U S like expansion to terrorist subjects and similar matters is prevented by the Fourth Amendment according to security firm Corellium s chief operating officer Credit AppleIn a Twitter thread Monday Corellium COO and security specialist Matt Tait detailed why the government couldn t just modify the database maintained by the National Center of Missing and Exploited Children NCMEC to find non CSAM images in Apple s cloud storage For one Tait pointed out that NCMEC is not part of the government Instead it s a private nonprofit entity with special legal privileges to receive CSAM tips Read more	2021-08-10 15:29:10
Apple	AppleInsider - Frontpage News	Japanese Apple Pay users can add WAON and Nanaco FeliCa cards later in 2021	https://appleinsider.com/articles/21/08/10/japanese-apple-pay-users-can-add-waon-and-nanaco-felica-cards-later-in-2021?utm_medium=rss	Japanese Apple Pay users can add WAON and Nanaco FeliCa cards later in Two long time holdouts from Apple Pay Japan are coming to the payment service later this year ーWAON and Nanaco WAON and Nanaco are coming to Apple Pay in JapanBoth WAON and Nanaco are prepaid cards that have user accounts attached to the card These cards have been available on Google Pay but will finally make their way to Apple Pay later in the year Read more	2021-08-10 15:09:20
Apple	AppleInsider - Frontpage News	New & colorful mini LED MacBook Air coming in mid-2022, says Ming-Chi Kuo	https://appleinsider.com/articles/21/08/10/new-colorful-mini-led-macbook-air-coming-in-mid-2022-says-ming-chi-kuo?utm_medium=rss	New amp colorful mini LED MacBook Air coming in mid says Ming Chi KuoApple is reportedly going to ship a long rumored MacBook Air refresh with mini LED display technology in mid according to a new report by Ming Chi Kuo In a note to investors seen by AppleInsider Ming Chi Kuo lays out a release timetable for an all new MacBook Air While a new design is expected Kuo says that it isn t clear if it will replace the existing M model or be a higher end option for consumers Elaborating upon that point Kuo says that if the M MacBook Air is discontinued with the release the Mini LED MacBook Air will probably start at the same price as the current M MacBook Air Alternatively Kuo is expecting the existing M model to lower in price versus extending the higher end of the pricing for the line with the new model Read more	2021-08-10 15:06:11
Apple	AppleInsider - Frontpage News	Apple 'poisoned the well' for client-side CSAM scanning, says former Facebook security chief	https://appleinsider.com/articles/21/08/10/apple-poisoned-the-well-for-client-side-csam-scanning-says-former-facebook-security-chief?utm_medium=rss	Apple x poisoned the well x for client side CSAM scanning says former Facebook security chiefAlex Stamos former Facebook security chief says Apple s approach to CSAM scanning and iMessage exploitation may have caused more harm than good for the cybersecurity community Apple s CSAM scanning tool has become a controversial topicOnce iOS and the other fall operating systems release Apple will introduce a set of features intended to prevent child exploitation on its platforms These implementations have created a fiery online debate surrounding user privacy and the future of Apple s reliance on encryption Read more	2021-08-10 15:56:37
海外TECH	Engadget	NYPD secretly spent $159 million on surveillance tech	https://www.engadget.com/nypd-surveillance-slush-fund-special-expenses-facial-recognition-stingray-155039463.html?src=rss	NYPD secretly spent million on surveillance techThe New York City Police Department has spent over million on surveillance systems and maintenance since without public oversight according to newly released documents The Legal Aid Society LAS and the Surveillance Technology Oversight Project STOP obtained the documents from the NYPD which include contracts with vendors They show that the NYPD has spent millions on facial recognition predictive policing tech and other surveillance systems The NYPD made the purchases through a Special Expenses Fund It didn t need to gain the approval of the NYC Council or other city officials before signing the contracts as Wired reports nbsp STOP and other privacy groups lobbied for the Public Oversight of Surveillance Technology POST Act which passed last year and requires the NYPD to disclose details about its public surveillance infrastructure The Special Expenses Fund was shut down after the legislation passed LAS and STOP threatened legal action if the NYPD didn t detail its surveillance practices nbsp Among the documents are contracts for Palantir American Science and Engineering which provides x ray vans that can detect weapons in vehicles feet away and Idemia Solutions which provides biometric services such as facial recognition The NYPD also signed a contract with KeyW Corporation for Stingray cell tower simulators Stingrays also known as international mobile subscriber identity catchers spoof cell towers to lure mobile phones into connecting to them The devices can then collect data sent by a phone such as its location The NYPD previously admitted it used Stingrays on more than a thousand occasions between and “For years the NYPD has hidden its surveillance slush fund from the public not to protect us but to protect its bottom line STOP executive director Albert Fox Cahn said in a statement “These technologies are expensive invasive and just don t work But the NYPD isn t just wasting millions on unproven technologies it s putting Black and Brown communities at risk High tech errors are often just the first step to false arrest wrongful imprisonment and being torn away from your family because of a faulty algorithm “No police department or federal agency has gone to the level of depth and transparency on law enforcement tools used in the field that the NYPD did in its POST Act disclosures quot an NYPD spokesperson told Wired in a statement	2021-08-10 15:50:39
海外TECH	Engadget	Twitch offers slightly more information about suspensions	https://www.engadget.com/twitch-moderation-information-improvement-151613809.html?src=rss	Twitch offers slightly more information about suspensionsTwitch has announced that it will offer slightly more detail to users when it hands down suspensions for violating its content rules As The Verge notes the Amazon owned platform can still be frustratingly vague when justifying why a users account has been suspended The new update will see users informed of the name of the offending stream the date that it aired and the rule that it broke but nothing more ️As of today enforcement notifications sent to suspended users will include the name of the content and the date of the violation to ensure they have better clarity about what content is being actioned on pic twitter com aAnrdEZoyiーTwitch Support TwitchSupport August Opaque moderation has been a problem for Twitch before and as we reported last year the site still has a problem with context In the platform suspended a professional Valorant player when their young child appeared on the stream while the player was answering the door There are common sense reasons to ban minors from streaming but this was clearly an accident rather than intentional A similar incident took place when Twitch without warning suddenly demonetized a number of high profile accounts during the Hot Tub Meta At the time it said that it should have “alerted affected streamers to this change before it happened ーit was a mistake not to do so As we wrote in the site needs to make much more of an effort to explain why it s doing what it s doing or else see the relationship with its community deteriorate even further	2021-08-10 15:16:13
海外TECH	Network World	Extreme targets SD-WAN services with Ipanema buy	https://www.networkworld.com/article/3628202/extreme-targets-sd-wan-services-with-ipanema-buy.html#tk.rss_all	Extreme targets SD WAN services with Ipanema buy With an eye toward reinforcing its cloud management business Extreme Networks said it will acquire Ipanema s SD WAN business for about million in cash Ipanema and its SD WAN business has been owned by France based network orchestration firm Infovista since and has approximately customers mostly in Europe Its cloud managed SD WAN platform is designed to deliver different workloads and applications securely across conventional wide area networks and multicloud service providers according to the company To read this article in full please click here	2021-08-10 15:53:00
Cisco	Cisco Blog	Healthcare organizations are a focus of ransomware attacks	https://blogs.cisco.com/security/healthcare-organizations-are-a-focus-of-ransomware-attacks	Healthcare organizations are a focus of ransomware attacksCisco Secure protects against ransomware with an integrated platform approach across a breadth of critical control points backed by best in class threat intelligence and research from Talos	2021-08-10 15:00:47
金融	◇◇　保険デイリーニュース　◇◇（損保担当者必携！）	保険デイリーニュース(08/11)	http://www.yanaharu.com/ins/?p=4661	損保ジャパン	2021-08-10 15:12:50
金融	金融庁ホームページ	火災保険水災料率に関する有識者懇談会（第1回）議事要旨及び資料について公表しました。	https://www.fsa.go.jp/singi/suisai/gijiyousi/20210625.html	有識者懇談会	2021-08-10 17:00:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	コーヒー豆の輸出てこに、日本からの輸入ビジネスも視野	https://www.jetro.go.jp/biznews/2021/08/ddc72038abb77465.html	輸出	2021-08-10 15:30:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	在宅医療・看護サービスの需要拡大と現地企業の挑戦	https://www.jetro.go.jp/biznews/2021/08/c322e33aed40ae89.html	在宅医療	2021-08-10 15:20:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	新型コロナ対策の社会的距離確保を2週間延長、首都圏は4段階を維持	https://www.jetro.go.jp/biznews/2021/08/04567ef42cc8d087.html	首都圏	2021-08-10 15:10:00
ニュース	BBC News - Home	Covid-19: More than 75% of UK adults now double-jabbed	https://www.bbc.co.uk/news/uk-58162318	immunity	2021-08-10 15:34:54
ニュース	BBC News - Home	Sheffield Link FM radio station faces sanction over 'Jihadi' chant	https://www.bbc.co.uk/news/uk-england-south-yorkshire-58162579	ofcom	2021-08-10 15:02:28
ニュース	BBC News - Home	A-level results: 'We've put in the work and we deserve these grades'	https://www.bbc.co.uk/news/education-58160873	england	2021-08-10 15:35:53
ニュース	BBC News - Home	Most post-Euros racist abuse originated in UK - Twitter	https://www.bbc.co.uk/sport/football/58159878	Most post Euros racist abuse originated in UK TwitterThe UK was by far the main origin of the abhorrent racist abuse on Twitter after England lost the Euro final says the social media platform	2021-08-10 15:14:41
ニュース	BBC News - Home	Will universities make allowances for my year? And other questions	https://www.bbc.co.uk/news/education-58148482	experts	2021-08-10 15:02:37
北海道	北海道新聞	送迎バス車内、５０度超か　福岡の５歳園児熱中症死	https://www.hokkaido-np.co.jp/article/577079/	熱中症死	2021-08-11 00:09:00
北海道	北海道新聞	道内デルタ株７１％　前週比２５ポイント増　置き換わり急速	https://www.hokkaido-np.co.jp/article/577071/	新型コロナウイルス	2021-08-11 00:04:48