投稿時間:2023-09-02 20:27:03 RSSフィード2023-09-02 20:00 分まとめ(9件)

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IT	ITmedia 総合記事一覧	[ITmedia News] 100年前のフィルムが「8K＋AI」で生々しく　今夜放送、関東大震災に迫る「NHKスペシャル」制作の裏側	https://www.itmedia.co.jp/news/articles/2309/02/news067.html	ITmediaNews年前のフィルムが「KAI」で生々しく今夜放送、関東大震災に迫る「NHKスペシャル」制作の裏側NHKが「NHKスペシャル」として「映像記録関東大震災帝都壊滅の三日間」を前後編で放送する。	2023-09-02 19:30:00
python	Pythonタグが付けられた新着投稿 - Qiita	pythonのmultiprocessを使用する際の注意点	https://qiita.com/lijiming/items/bc9875832f1da3620a70	ifnamemain	2023-09-02 19:47:28
python	Pythonタグが付けられた新着投稿 - Qiita	キューを使ったマルチプロセス処理	https://qiita.com/lijiming/items/6c1e0aa63ff0e36fedb9	multiprocessing	2023-09-02 19:36:55
golang	Goタグが付けられた新着投稿 - Qiita	Deploy connect-go APIs with Cloud Run and API Gateway	https://qiita.com/daisuke-yamamoto/items/0291629885351fdb37ba	chartlrsubgraphapigatewa	2023-09-02 19:25:32
技術ブログ	Developers.IO	[セッションレポート][ANA211] BigQueryとPaLMによる次世代のデータ分析の到来に備えよう！ #GoolgeCloudNext	https://dev.classmethod.jp/articles/next_generation_data_analytics_with_bigquery_palm/	lyticswithbigqueryandpalm	2023-09-02 11:12:22
海外TECH	DEV Community	Security tools and AI are a perfect match	https://dev.to/azasypkin/security-tools-and-ai-are-a-perfect-match-3301	Security tools and AI are a perfect matchThe original post was published on my blog on June long before I realized it might be interesting to the dev to community Hello It s an understatement to say that there is a lot of hype around AI these days It seems to be integrated into everything The company I work for Elastic is also keeping up with the trend by recently releasing the Elasticsearch Relevance Engine ESRE and the Elastic AI Assistant Even though I m typically quite skeptical about over hyped stuff I must admit that AI is certainly making waves Unsurprisingly I also find myself asking a question could the integration of AI tools be useful to the users of Secutils dev Let s attempt to answer this question by exploring a simple proof of concept that I have been tinkering with this week For those who prefer a visual demonstration here s a video showcasing the Explain functionality in the Webhooks feature If you re interested in more details keep reading below ️NOTE In this post I will use the generic term AI without going into specific details as it is sufficient to illustrate the point In my previous post Exploring third party services with webhooks I demonstrated how Webhooks can be used in Secutils dev to understand how third party services implement certain functionalities Specifically we analyzed the HTTP requests made by Notion while rendering rich web bookmarks However to derive maximum value from this analysis one would either need extensive experience in the field or have to search for information on every little piece to get a complete picture This is where AI can step in and really boost the analysis making it way more efficient In the proof of concept I integrated OpenAI so that users can ask the AI to explain specific HTTP requests received by the webhook For instance consider the following input HTTP method HEAD HTTP headers x forwarded for x datadog parent id x forwarded proto httpsaccept host secutils devuser agent NotionEmbedderx datadog sampling priority referer x datadog trace id x forwarded host secutils devx forwarded port x forwarded server azbyte prodx real ip HTTP body The output generated by AI would look something like this Based on this information we can make the following observations The request is a HEAD request which is typically used to retrieve only the headers of a resource without transferring the actual body The request is sent to the host secutils dev The headers include information related to tracing and logging such as x datadog parent id x datadog trace id and x datadog sampling priority These headers suggest the usage of Datadog for tracing and monitoring purposes The x forwarded for x forwarded proto x forwarded host x forwarded port and x forwarded server headers indicate that the request has been forwarded from another server possibly a load balancer or proxy server The user agent header indicates that the request is made by a client identified as NotionEmbedder which might be a custom user agent used by the client application The accept header indicates that the client can accept any type of response The referer header suggests that the request was triggered from the URL Not bad for the first attempt I ve highlighted the parts that I believe bring significant value to the user And this is just a generic model imagine how much more useful and cost efficient it can be with a pre trained and fine tuned one Due to the time constraints of this proof of concept I didn t have a chance to implement an interactive prompt that would allow users to dig deeper and ask more specific follow up questions However adding this feature would be straightforward and incredibly valuable to users In summary I strongly believe that AI in security tools has an incredibly promising future with endless opportunities Here are just a few examples that would be relevant to Secutils dev Users can provide multiple related requests to the AI allowing it to gain more context and reconstruct the entire flow Users can ask follow up questions based on the initial analysis provided by the AI Users can utilize AI to generate responses for auto responders such as generate CORS headers generate HTML with xxx meta tags or generate HTML form and scripts for submission to xxx Users can use AI to analyze web page resources and gain insights into the structure of web applications the frameworks used and potential problems that the web page might have And the list goes on…That wraps up today s post Thanks for taking the time to read it If my posts sound interesting to you feel free to follow me on Twitter Mastodon or LinkedIn	2023-09-02 11:00:00
海外TECH	Engadget	India launches a spacecraft to study the sun a week after landing on the moon	https://www.engadget.com/india-launches-a-spacecraft-to-study-the-sun-a-week-after-landing-on-the-moon-111548216.html?src=rss	India launches a spacecraft to study the sun a week after landing on the moonIndian Prime Minister Narendra Modi wants to recreate India s IT boom with space a government official told Reuters And the Indian Space Research Organisation s efforts do show that the country truly is serious about wanting to be known as a major player Just a week after Chandrayaan touched down on the moon the country s space agency has already launched a rocket carrying Aditya L the first Indian mission dedicated to observing the sun nbsp Aditya L will travel miles over four months until it reaches the L Lagrange Point between the sun and our planet A Lagrange point is a place of equilibrium between two massive orbiting bodies where objects tend to stay put thereby minimizing a spacecraft s fuel consumption The spacecraft will remain in orbit to collect data that scientists are hoping would help them figure out why the sun s corona is hotter than its surface nbsp They re also hoping that the mission could provide information on how solar radiation and various solar phenomena affect communication systems and satellites as well as power grids By understanding those effects space companies and agencies can better protect satellites in orbit If scientists can predict coronal mass ejections for instance they can alert operators so that they can shut down their satellites power before the phenomenon occurs In addition scientists are hoping that Aditya L can shed light on solar wind behavior and on how the sun s activity can influence the Earth s climate in the long run nbsp Sankar Subramanian principal scientist of the mission said quot We have made sure we will have a unique data set that is not currently available from any other mission This will allow us to understand the sun its dynamics as well as the inner heliosphere which is an important element for current day technology as well as space weather aspects quot India already has several other missions lined up for the coming years It s working with Japan to send an uncrewed lander and rover to explore the south pole region of the moon by Before that by next year it s planning to launch orbiters to observe Mars and Venus nbsp This article originally appeared on Engadget at	2023-09-02 11:15:48
海外TECH	WIRED	53 Best Labor Day Deals (2023): Grills, Vacuums, Mechanical Keyboards	https://www.wired.com/story/best-labor-day-deals-2023-3/	desks	2023-09-02 11:00:00
ニュース	BBC News - Home	Suella Braverman: Home Secretary orders review into police impartiality	https://www.bbc.co.uk/news/uk-66693802?at_medium=RSS&at_campaign=KARANGA	obsession	2023-09-02 11:13:06