당신은 주제를 찾고 있습니까 “이스라엘 구글 – 구글어스로 이스라엘지형설명“? 다음 카테고리의 웹사이트 ppa.maxfit.vn 에서 귀하의 모든 질문에 답변해 드립니다: https://ppa.maxfit.vn/blog. 바로 아래에서 답을 찾을 수 있습니다. 작성자 이문범 이(가) 작성한 기사에는 조회수 2,416회 및 좋아요 49개 개의 좋아요가 있습니다.
이스라엘 구글 주제에 대한 동영상 보기
여기에서 이 주제에 대한 비디오를 시청하십시오. 주의 깊게 살펴보고 읽고 있는 내용에 대한 피드백을 제공하세요!
d여기에서 구글어스로 이스라엘지형설명 – 이스라엘 구글 주제에 대한 세부정보를 참조하세요
#구글어스프로 #성경지명을 다운 받으려면 아래로 오세요
https://www.lovenuri.org:626/lovenuri/index_tong.asp
* 사이버성경학교에서 역사지리로보는 성경을 보세요
#구글어스 브라우저로 #성경주요지명보기는 아래를 보세요.
https://youtu.be/SQj4Sy_PDQU
이스라엘 구글 주제에 대한 자세한 내용은 여기를 참조하세요.
Search the world’s information, including webpages, images, veos and more. Google has many special features to help you find exactly what you’re looking …
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Israel – Google Research
Israel. We work on machine learning, natural language understanding and machine perception, from foundational research to AI innovations, in search, …
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Tel Aviv & Haifa – Google Careers
In keeping with Israel’s position as “Start-up Nation,” you’ll also find an incubator for innovative, entrepreneurial businesses. In Israel, we’re looking …
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Date Published: 1/4/2022
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구글, 이스라엘-사우디 잇는 광통신망 구축 계획 | 연합뉴스
(서울=연합뉴스) 이승민 기자 = 미국의 ‘정보기술(IT) 공룡’ 구글이 역사적 적대 관계인 이스라엘과 사우디아라비아를 잇는 광통신망 구축을 계…
Source: www.yna.co.kr
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이스라엘 – Google Play 앱
응용 프로그램에 대한 설명이 포함되 이스라엘입니다. 업데이트 날짜. 2021. 4. 22. 도서/참고자료. 데이터 보안. 개발자는 앱의 데이터 수집 및 사용 방식에 관한 …
Source: play.google.com
Date Published: 1/14/2021
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Israel – Google Earth
Explore Israel in Google Earth. … Explore Israel in Google Earth. Israel.
Source: earth.google.com
Date Published: 3/5/2022
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Google Is Selling Advanced AI to Israel, Documents Reveal
Documents Reveal Advanced AI Tools Google Is Selling to Israel. Google employees, who have been kept in the dark about the “Nimbus” AI …
Source: theintercept.com
Date Published: 2/2/2021
View: 5463
이스라엘-팔레스타인: 평양보다 더 흐릿한 구글 어스 사진 – BBC
하지만 구글 어스에 나온 이스라엘과 팔레스타인 영토 대부분은 저해상도 위성 이미지다. 가자 지구 중심지인 가자 시티 사진에서는 자동차를 거의 볼 수 …
Source: www.bbc.com
Date Published: 5/18/2021
View: 7918
주제와 관련된 이미지 이스라엘 구글
주제와 관련된 더 많은 사진을 참조하십시오 구글어스로 이스라엘지형설명. 댓글에서 더 많은 관련 이미지를 보거나 필요한 경우 더 많은 관련 기사를 볼 수 있습니다.
주제에 대한 기사 평가 이스라엘 구글
- Author: 이문범
- Views: 조회수 2,416회
- Likes: 좋아요 49개
- Date Published: 2021. 4. 13.
- Video Url link: https://www.youtube.com/watch?v=A-VsUtwd3r8
Israel – Google Research
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구글, 이스라엘-사우디 잇는 광통신망 구축 계획
(서울=연합뉴스) 이승민 기자 = 미국의 ‘정보기술(IT) 공룡’ 구글이 역사적 적대 관계인 이스라엘과 사우디아라비아를 잇는 광통신망 구축을 계획하고 있다고 월스트리트저널(WSJ)이 23일(현지 시간) 보도했다.
이슬람 수니파 종주국을 자처하는 사우디는 그동안 팔레스타인 분쟁 등을 이유로 이스라엘과 외교관계를 맺지 않고 있다.
이 때문에 두 국가를 잇는 광통신망도 없다.
광고
해저로 5천 마일(약 8천㎞)에 달하는 케이블을 설치해야 하는 구글의 이 계획에는 4억 달러 이상의 비용이 들 것으로 추산됐다.
구글은 오만의 통신회사인 오만 텔레커뮤니케이션과 이탈리아의 텔레콤 이탈리아사와 협력해 이 계획을 추진한다. 이들은 광통신망 구축에 드는 비용을 지원하고 추후 통신망 일부를 이용하게 될 전망이다.
구글은 통신망 구축 사업에 과학자들의 이름을 붙이곤 하는데, 이번 계획은 인도의 물리학자인 찬드라세카라 벵카타 라만의 이름을 따 ‘블루 라만’ 프로젝트라고 명명했다.
광통신망 구축은 여러 국가를 통해야만 가능하기 때문에, 어느 한 나라라도 거절하면 구글은 이 계획을 실현할 수 없다.
블루 라만 프로젝트는 최근 이스라엘과 아랍 국가 간의 관계 정상화로 탄력을 받고 있다고 WSJ은 분석했다.
미국 정부는 올해 8월부터 아랍에미리트(UAE), 바레인, 수단 등 아랍권 3개국과 이스라엘의 수교를 중재했다.
지난 22일에는 베냐민 네타냐후 이스라엘 총리가 비밀리에 사우디를 찾아 무함마드 빈 살만 왕세자와 유럽·중동을 순방 중이던 마이크 폼페이오 미국 국무장관을 만났다는 보도도 나왔다.
유럽에서 이스라엘과 사우디를 거쳐 인도로 향하는 광통신망이 완성되면 현재 이집트를 지나는 통신망에 몰리는 데이터 병목 현상도 해결할 수 있다고 WSJ은 예상했다.
구글은 영상, 검색, 다른 상품에 대한 수요가 급증하면서 더 많은 통신 용량을 확보하기 위해 페이스북과 경쟁하고 있다.
구글의 네트워크 확장은 클라우드 컴퓨팅 분야에서 마이크로소프트·아마존과의 경쟁에도 도움이 된다고 WSJ은 전했다.
제보는 카카오톡 okjebo <저작권자(c) 연합뉴스, 무단 전재-재배포 금지>
Documents Reveal Advanced AI Tools Google Is Selling to Israel
Training materials reviewed by The Intercept confirm that Google is offering advanced artificial intelligence and machine-learning capabilities to the Israeli government through its controversial “Project Nimbus” contract. The Israeli Finance Ministry announced the contract in April 2021 for a $1.2 billion cloud computing system jointly built by Google and Amazon. “The project is intended to provide the government, the defense establishment and others with an all-encompassing cloud solution,” the ministry said in its announcement. Google engineers have spent the time since worrying whether their efforts would inadvertently bolster the ongoing Israeli military occupation of Palestine. In 2021, both Human Rights Watch and Amnesty International formally accused Israel of committing crimes against humanity by maintaining an apartheid system against Palestinians. While the Israeli military and security services already rely on a sophisticated system of computerized surveillance, the sophistication of Google’s data analysis offerings could worsen the increasingly data-driven military occupation.
According to a trove of training documents and videos obtained by The Intercept through a publicly accessible educational portal intended for Nimbus users, Google is providing the Israeli government with the full suite of machine-learning and AI tools available through Google Cloud Platform. While they provide no specifics as to how Nimbus will be used, the documents indicate that the new cloud would give Israel capabilities for facial detection, automated image categorization, object tracking, and even sentiment analysis that claims to assess the emotional content of pictures, speech, and writing. The Nimbus materials referenced agency-specific trainings available to government personnel through the online learning service Coursera, citing the Ministry of Defense as an example.
Credit: Google
Jack Poulson, director of the watchdog group Tech Inquiry, shared the portal’s address with The Intercept after finding it cited in Israeli contracting documents. Jack Poulson, director of the watchdog group Tech Inquiry, shared the portal’s address with The Intercept after finding it cited in Israeli contracting documents. “The former head of Security for Google Enterprise — who now heads Oracle’s Israel branch — has publicly argued that one of the goals of Nimbus is preventing the German government from requesting data relating on the Israel Defence Forces for the International Criminal Court,” said Poulson, who resigned in protest from his job as a research scientist at Google in 2018, in a message. “Given Human Rights Watch’s conclusion that the Israeli government is committing ‘crimes against humanity of apartheid and persecution’ against Palestinians, it is critical that Google and Amazon’s AI surveillance support to the IDF be documented to the fullest.”
Though some of the documents bear a hybridized symbol of the Google logo and Israeli flag, for the most part they are not unique to Nimbus. Rather, the documents appear to be standard educational materials distributed to Google Cloud customers and presented in prior training contexts elsewhere. Google did not respond to a request for comment. The documents obtained by The Intercept detail for the first time the Google Cloud features provided through the Nimbus contract. With virtually nothing publicly disclosed about Nimbus beyond its existence, the system’s specific functionality had remained a mystery even to most of those working at the company that built it. In 2020, citing the same AI tools, U.S Customs and Border Protection tapped Google Cloud to process imagery from its network of border surveillance towers. Many of the capabilities outlined in the documents obtained by The Intercept could easily augment Israel’s ability to surveil people and process vast stores of data — already prominent features of the Israeli occupation. “Data collection over the entire Palestinian population was and is an integral part of the occupation,” Ori Givati of Breaking the Silence, an anti-occupation advocacy group of Israeli military veterans, told The Intercept in an email. “Generally, the different technological developments we are seeing in the Occupied Territories all direct to one central element which is more control.” The Israeli security state has for decades benefited from the country’s thriving research and development sector, and its interest in using AI to police and control Palestinians isn’t hypothetical. In 2021, the Washington Post reported on the existence of Blue Wolf, a secret military program aimed at monitoring Palestinians through a network of facial recognition-enabled smartphones and cameras. “Living under a surveillance state for years taught us that all the collected information in the Israeli/Palestinian context could be securitized and militarized,” said Mona Shtaya, a Palestinian digital rights advocate at 7amleh-The Arab Center for Social Media Advancement, in a message. “Image recognition, facial recognition, emotional analysis, among other things will increase the power of the surveillance state to violate Palestinian right to privacy and to serve their main goal, which is to create the panopticon feeling among Palestinians that we are being watched all the time, which would make the Palestinian population control easier.” The educational materials obtained by The Intercept show that Google briefed the Israeli government on using what’s known as sentiment detection, an increasingly controversial and discredited form of machine learning. Google claims that its systems can discern inner feelings from one’s face and statements, a technique commonly rejected as invasive and pseudoscientific, regarded as being little better than phrenology. In June, Microsoft announced that it would no longer offer emotion-detection features through its Azure cloud computing platform — a technology suite comparable to what Google provides with Nimbus — citing the lack of scientific basis.
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Google does not appear to share Microsoft’s concerns. One Nimbus presentation touted the “Faces, facial landmarks, emotions”-detection capabilities of Google’s Cloud Vision API, an image analysis toolset. The presentation then offered a demonstration using the enormous grinning face sculpture at the entrance of Sydney’s Luna Park. An included screenshot of the feature ostensibly in action indicates that the massive smiling grin is “very unlikely” to exhibit any of the example emotions. And Google was only able to assess that the famous amusement park is an amusement park with 64 percent certainty, while it guessed that the landmark was a “place of worship” or “Hindu Temple” with 83 percent and 74 percent confidence, respectively.
Credit: Google
Google workers who reviewed the documents said they were concerned by their employer’s sale of these technologies to Israel, fearing both their inaccuracy and how they might be used for surveillance or other militarized purposes. Google workers who reviewed the documents said they were concerned by their employer’s sale of these technologies to Israel, fearing both their inaccuracy and how they might be used for surveillance or other militarized purposes. “Vision API is a primary concern to me because it’s so useful for surveillance,” said one worker, who explained that the image analysis would be a natural fit for military and security applications. “Object recognition is useful for targeting, it’s useful for data analysis and data labeling. An AI can comb through collected surveillance feeds in a way a human cannot to find specific people and to identify people, with some error, who look like someone. That’s why these systems are really dangerous.”
Credit: Google
The employee — who, like other Google workers who spoke to The Intercept, requested anonymity to avoid workplace reprisals — added that they were further alarmed by potential surveillance or other militarized applications of AutoML, another Google AI tool offered through Nimbus. Machine learning is largely the function of training software to recognize patterns in order to make predictions about future observations, for instance by analyzing millions of images of kittens today in order to confidently claim that it’s looking at a photo of a kitten tomorrow. This training process yields what’s known as a “model” — a body of computerized education that can be applied to automatically recognize certain objects and traits in future data. The employee — who, like other Google workers who spoke to The Intercept, requested anonymity to avoid workplace reprisals — added that they were further alarmed by potential surveillance or other militarized applications of AutoML, another Google AI tool offered through Nimbus. Machine learning is largely the function of training software to recognize patterns in order to make predictions about future observations, for instance by analyzing millions of images of kittens today in order to confidently claim that it’s looking at a photo of a kitten tomorrow. This training process yields what’s known as a “model” — a body of computerized education that can be applied to automatically recognize certain objects and traits in future data. Training an effective model from scratch is often resource intensive, both financially and computationally. This is not so much of a problem for a world-spanning company like Google, with an unfathomable volume of both money and computing hardware at the ready. Part of Google’s appeal to customers is the option of using a pre-trained model, essentially getting this prediction-making education out of the way and letting customers access a well-trained program that’s benefited from the company’s limitless resources.
“An AI can comb through collected surveillance feeds in a way a human cannot to find specific people and to identify people, with some error, who look like someone. That’s why these systems are really dangerous.”
Cloud Vision is one such pre-trained model, allowing clients to immediately implement a sophisticated prediction system. AutoML, on the other hand, streamlines the process of training a custom-tailored model, using a customer’s own data for a customer’s own designs. Google has placed some limits on Vision — for instance limiting it to face detection, or whether it sees a face, rather than recognition that would identify a person. AutoML, however, would allow Israel to leverage Google’s computing capacity to train new models with its own government data for virtually any purpose it wishes. “Google’s machine learning capabilities along with the Israeli state’s surveillance infrastructure poses a real threat to the human rights of Palestinians,” said Damini Satija, who leads Amnesty International’s Algorithmic Accountability Lab. “The option to use the vast volumes of surveillance data already held by the Israeli government to train the systems only exacerbates these risks.” Cloud Vision is one such pre-trained model, allowing clients to immediately implement a sophisticated prediction system. AutoML, on the other hand, streamlines the process of training a custom-tailored model, using a customer’s own data for a customer’s own designs. Google has placed some limits on Vision — for instance limiting it to face detection, or whether it sees a face, rather than recognition that would identify a person. AutoML, however, would allow Israel to leverage Google’s computing capacity to train new models with its own government data for virtually any purpose it wishes. “Google’s machine learning capabilities along with the Israeli state’s surveillance infrastructure poses a real threat to the human rights of Palestinians,” said Damini Satija, who leads Amnesty International’s Algorithmic Accountability Lab. “The option to use the vast volumes of surveillance data already held by the Israeli government to train the systems only exacerbates these risks.” Custom models generated through AutoML, one presentation noted, can be downloaded for offline “edge” use — unplugged from the cloud and deployed in the field. That Nimbus lets Google clients use advanced data analysis and prediction in places and ways that Google has no visibility into creates a risk of abuse, according to Liz O’Sullivan, CEO of the AI auditing startup Parity and a member of the U.S. National Artificial Intelligence Advisory Committee. “Countries can absolutely use AutoML to deploy shoddy surveillance systems that only seem like they work,” O’Sullivan said in a message. “On edge, it’s even worse — think bodycams, traffic cameras, even a handheld device like a phone can become a surveillance machine and Google may not even know it’s happening.” In one Nimbus webinar reviewed by The Intercept, the potential use and misuse of AutoML was exemplified in a Q&A session following a presentation. An unnamed member of the audience asked the Google Cloud engineers present on the call if it would be possible to process data through Nimbus in order to determine if someone is lying. “I’m a bit scared to answer that question,” said the engineer conducting the seminar, in an apparent joke. “In principle: Yes. I will expand on it, but the short answer is yes.” Another Google representative then jumped in: “It is possible, assuming that you have the right data, to use the Google infrastructure to train a model to identify how likely it is that a certain person is lying, given the sound of their own voice.” Noting that such a capability would take a tremendous amount of data for the model, the second presenter added that one of the advantages of Nimbus is the ability to tap into Google’s vast computing power to train such a model.
“I’d be very skeptical for the citizens it is meant to protect that these systems can do what is claimed.”
A broad body of research, however, has shown that the very notion of a “lie detector,” whether the simple polygraph or “AI”-based analysis of vocal changes or facial cues, is junk science. While Google’s reps appeared confident that the company could make such a thing possible through sheer computing power, experts in the field say that any attempts to use computers to assess things as profound and intangible as truth and emotion are faulty to the point of danger. One Google worker who reviewed the documents said they were concerned that the company would even hint at such a scientifically dubious technique. “The answer should have been ‘no,’ because that does not exist,” the worker said. “It seems like it was meant to promote Google technology as powerful, and it’s ultimately really irresponsible to say that when it’s not possible.” Andrew McStay, a professor of digital media at Bangor University in Wales and head of the Emotional AI Lab, told The Intercept that the lie detector Q&A exchange was “disturbing,” as is Google’s willingness to pitch pseudoscientific AI tools to a national government. “It is [a] wildly divergent field, so any technology built on this is going to automate unreliability,” he said. “Again, those subjected to them will suffer, but I’d be very skeptical for the citizens it is meant to protect that these systems can do what is claimed.” According to some critics, whether these tools work might be of secondary importance to a company like Google that is eager to tap the ever-lucrative flow of military contract money. Governmental customers too may be willing to suspend disbelief when it comes to promises of vast new techno-powers. “It’s extremely telling that in the webinar PDF that they constantly referred to this as ‘magical AI goodness,’” said Jathan Sadowski, a scholar of automation technologies and research fellow at Monash University, in an interview with The Intercept. “It shows that they’re bullshitting.”
Google CEO Sundar Pichai speaks at the Google I/O conference in Mountain View, Calif. Google pledges that it will not use artificial intelligence in applications related to weapons or surveillance, part of a new set of principles designed to govern how it uses AI. Those principles, released by Pichai, commit Google to building AI applications that are “socially beneficial,” that avoid creating or reinforcing bias and that are accountable to people. Photo: Jeff Chiu/AP
Google, like Microsoft, has its own public list of “ has its own public list of “ AI principles ,” a document the company says is an “ethical charter that guides the development and use of artificial intelligence in our research and products.” Among these purported principles is a commitment to not “deploy AI … that cause or are likely to cause overall harm,” including weapons, surveillance, or any application “whose purpose contravenes widely accepted principles of international law and human rights.” Israel, though, has set up its relationship with Google to shield it from both the company’s principles and any outside scrutiny. Perhaps fearing the fate of the Pentagon’s Project Maven, a Google AI contract felled by intense employee protests, the data centers that power Nimbus will reside on Israeli territory, subject to Israeli law and insulated from political pressures. Last year, the Times of Israel reported that Google would be contractually barred from shutting down Nimbus services or denying access to a particular government office even in response to boycott campaigns. Google employees interviewed by The Intercept lamented that the company’s AI principles are at best a superficial gesture. “I don’t believe it’s hugely meaningful,” one employee told The Intercept, explaining that the company has interpreted its AI charter so narrowly that it doesn’t apply to companies or governments that buy Google Cloud services. Asked how the AI principles are compatible with the company’s Pentagon work, a Google spokesperson told Defense One, “It means that our technology can be used fairly broadly by the military.”
“Google is backsliding on its commitments to protect people from this kind of misuse of our technology. I am truly afraid for the future of Google and the world.”
키워드에 대한 정보 이스라엘 구글
다음은 Bing에서 이스라엘 구글 주제에 대한 검색 결과입니다. 필요한 경우 더 읽을 수 있습니다.
이 기사는 인터넷의 다양한 출처에서 편집되었습니다. 이 기사가 유용했기를 바랍니다. 이 기사가 유용하다고 생각되면 공유하십시오. 매우 감사합니다!
사람들이 주제에 대해 자주 검색하는 키워드 구글어스로 이스라엘지형설명
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구글어스로 #이스라엘지형설명
YouTube에서 이스라엘 구글 주제의 다른 동영상 보기
주제에 대한 기사를 시청해 주셔서 감사합니다 구글어스로 이스라엘지형설명 | 이스라엘 구글, 이 기사가 유용하다고 생각되면 공유하십시오, 매우 감사합니다.