關於 civil software ，我們在網路上蒐集到這些相關的討論、資訊與評價

[Tổng hợp] Học bổng Canada đang mở cho năm học 2022-2023

Bạn nào là fan của Canada giơ tay!!! Nhiều trường đại học đang mở học bổng cho năm học tới 2022-2023, cả nhà có thể tham khảo list dưới đây và chuẩn bị dần nhé. Chị có bạn vừa bay sang Canada từ Việt Nam để tiếp tục việc học nên cả nhà đừng quá lo lắng là mình sẽ không thể đi du học trong thời gian này nha.

1. Vanier Canada Graduate Scholarships (Vanier CGS)
- Bậc học: tiến sĩ, hoặc kết hợp thạc sĩ + tiến sĩ
- Lĩnh vực: health research; natural sciences and/or engineering research; and social sciences and/or humanities research
- Học bổng: toàn phần ($50,000/Năm), bao gồm học phí + sinh hoạt phí + chỗ ở + chi phí đi lại
- Deadline: 02.11 hàng năm
- Link: http://www.vanier.gc.ca/en/home-accueil.html

2. The Lester B. Pearson International Scholarship Program at University of Toronto
- Bậc học: cử nhân
- Học bổng: học phí + tiền sách vở + sinh hoạt phí trong 4 năm
- Deadline: 30.11.2021
- Link: https://future.utoronto.ca/apply/important-application-dates/

3. Québec Merit Scholarships for Vocational training
- Đối tượng: sinh viên lựa chọn vocational training program
- Học bổng:
Full Merit Scholarship: học phí + bảo hiểm y tế + sinh hoạt phí
Tuition Exemption Scholarship: học phí
- Deadline: 01.08.2021
- Link: https://education-internationale.imiscloud.com/monquebecmetiersdavenirENG/InscriptionScholarship/Accueil_boursesouvert.aspx

4. The Engineering International Student Entrance Scholarships at University of Waterloo
- Bậc học: cử nhân
- Lĩnh vực: Architectural Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Computer Engineering, Electrical Engineering, Environmental Engineering, Geological Engineering, Management Sciences, Mechanical Engineering, Mechatronics Engineering, Nanotechnology Engineering, Systems Design Engineering; Software Engineering
- Học bổng: $10,000
- Link: https://uwaterloo.ca/undergraduate-entrance-awards/awards/engineering-international-student-entrance-scholarship

5. Scholarships at University of Alberta
- Bậc học: đại học, sau đại học
- Lĩnh vực: vô số ngành lựa chọn như Business, Law, Social Sciences, Engineering, Education, Nursing, Public Health, etc.
- Học bổng: tuỳ từng bậc học
- Deadline: 01.11.2021
- Link: https://www.ualberta.ca/graduate-studies/prospective-students/international-admissions-protocol/international-application-deadlines.html

🌎Bạn nào có ý định xin học bổng, hoặc xin chưa mà chưa đậu, hoặc muốn xin thêm nữa, chị xin mời các bạn tham gia khoá học HannahEd kéo dài 10 buổi, 5 tuần, mỗi bài học từ 1.5-2h.
-- Lớp tháng 8 & 9/2021 đều có lịch học t7CN rồi. Đăng ký sớm kẻo gần sát hết slot mất.
Link hoàn tất thủ tục vào lớp cho bạn nào quyết luôn: http://tiny.cc/HannahEdClass
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Link thông tin về lớp:
https://hannahed.co/lop-tim-va-nop-hoc-bong/
http://bit.ly/HannahEdScholarshipClass
Thắc mắc gì cứ email hannahed.co@gmail.com hoặc inbox mình thoải mái, các em có thể gửi CV hoặc câu hỏi về chị Hoa Dinh tư vấn miễn phí cho nha.
❤ Tag và chia sẻ thông tin đến bạn bè em nhé ❤

#HannahEd #duhoc #hocbong #sanhocbong #scholarshipforVietnamesestudents

加拿大環球郵報直接上振華辦公室，調查挖掘其經營內容，高。

A shorter list of 3,767 Canadians have been assigned a grade of 1, 2 or 3 by the creators of the database. Those assigned a 1 appeared to be people of direct influence, such as mayors, MPs, or senior civil servants, while those assigned a 2 were often relatives of people in power, such as Mr. Trudeau’s daughter and Ms. Fry’s son. Those assigned a grade of 3 often had criminal convictions, mostly for economic crimes.

Zhenhua’s data is structured in a way similar to Factiva, a research tool from Dow Jones that also catalogues influential people from around the world. In fact, the woman at the Zhenhua office likened the company’s products to that of Dow Jones and Wind Information, a Chinese provider.

Zhenhua’s clients are in government, military, universities and academic institutes, the woman at the company said, suggesting they can use the company’s technology to “conduct a more detailed analysis of a certain professor.” She suggested that the company is not a mere technology provider, but its employees actively work with customers. Zhenhua employees are based in different cities in China, including Nanjing and Wuhan, because “our client base is relatively special,” she said.

Online, Zhenhua stresses its military connections. Two of its employees mention military-related tasks on their LinkedIn posts: a senior R&D engineer describes working on a “social media cultivation system, and military deployment simulation demonstration system,” while a product sales manager discusses “mining military customers' business needs for overseas data.” A job posting seeks a candidate that can manage sales and focus “management systems at the direction of the Party, government, and military.”

Zhenhua also lists a series of corporate partners with ties to the security establishment. Wenge Group uses big data and artificial intelligence to aid “smart law enforcement.” LSSEC Tech provides encryption tools and IT equipment to national security and military customers and has trained its employees to keep secrets on weaponry research. GTCOM sifts social media to spot the development of heated public opinion, equipping authorities to “minimize the probability of group incidents.” TRS lists the police and the Party as customers for software services that include online relationship mining, a “public opinion management system” and a “crystal ball intelligence analysis platform.” CHRTC provides “urban governance” products to the country’s security apparatus.

Software To Recognize Faces Is Found To Be Biased

The majority ( )of commercial facial-recognition systems exhibit bias ( ), according to a study from a federal agency released recently, underscoring ( )questions about a technology increasingly used by police departments and federal agencies to identify suspected criminals.

The systems falsely identified African American and Asian faces 10 times to 100 times more than Caucasian faces, the National Institute of Standards and Technology reported. Among a database of photos used by law enforcement ( )agencies in the United States, the highest error rates came in identifying Native Americans, the study found.

The technology also had more difficulty identifying women than men. And it falsely identified older adults up to 10 times more than middle-aged adults.

The new report comes at a time of mounting ( )concern from lawmakers and civil rights groups over the proliferation ( )of facial recognition. Proponents ( ) view it as ( )an important tool for catching criminals and tracking terrorists. Tech companies market it as a convenience that can be used to help identify people in photos or in lieu of ( )a password to unlock smartphones.

Civil liberties experts, however, warn that the technology — which can be used to track people at a distance without their knowledge — has the potential to lead to ubiquitous ( ) surveillance ( ), chilling freedom of movement and speech. Last year, San Francisco, Oakland and Berkeley in California and the Massachusetts communities of Somerville and Brookline banned government use of the technology.

“One false match can lead to missed flights, lengthy interrogations ( ), watch list placements, tense police encounters, false arrests or worse,” Jay Stanley, a policy analyst at the American Civil Liberties Union, said in a statement. “Government agencies including the FBI, Customs ( )and Border Protection and local law enforcement must immediately halt ( )the deployment ( )of this dystopian ( )technology.”

The federal report is one of the largest studies of its kind. The researchers had access ( )to more than 18 million photos of about 8.5 million people from American mug shots ( ), visa applications and border-crossing databases.

The National Institute of Standards and Technology tested 189 facial-recognition algorithms ( )from 99 developers, representing the majority of commercial developers. They included systems from Microsoft, biometric ( )technology companies like Cognitec, and Megvii, an artificial intelligence company in China.

The federal report confirms earlier studies from MIT that reported that facial-recognition systems from some large tech companies had much lower accuracy ( )rates in identifying the female and darker-skinned faces than the white male faces.

臉部辨識系統 有種族性別「偏見」

根據美國聯邦機構新近發表的研究結果，多數商用臉部辨識系統存在偏差，凸顯出這種科技的問題，而警察部門和聯邦機構使用這項科技辨識可疑罪犯的程度正不斷增高。

國家標準及科技研究所指出，比起白人臉孔，這些系統錯誤辨識非裔美國人和亞洲臉孔的機率高出10至100倍。研究發現，在美國執法單位使用的照片資料庫中，辨識美國原住民的錯誤率最高。

這項科技辨識女性也比男性更困難，而且辨識老人的錯誤率高達中年人的10倍。

這份新報告發表之際，國會議員和公民運動團體對臉部辨識的普及正日益感到憂慮。支持者視它為抓捕罪犯和追蹤恐怖分子的重要工具，科技公司將它行銷成方便好用的東西，可辨識照片中的人或作為密碼解鎖智慧手機。

然而，公民自由專家警告，這項科技能在人們不知情的狀況下從一定距離外追蹤他們，有可能導致無所不在的監控，壓抑行動和言論自由。去年，加州的舊金山、奧克蘭和柏克萊，以及麻州的薩默維爾和布魯克萊恩等社區，皆明令禁止政府使用此一科技。

「一個錯誤的比對，就可能導致錯過班機、冗長的訊問、列入觀察名單、與警察緊張的遭遇、錯誤逮捕甚至更糟的狀況。」美國公民自由聯盟的政策分析師傑．史丹利在聲明中這麼說。「包括聯邦調查局、海關及邊境保護局和地方執法單位等政府機構，必須立即停止部署這項反烏托邦科技。」

這份聯邦報告是同類報告中規模最大者之一。研究人員取用來自美國嫌犯大頭照、簽證申請及跨越邊境資料庫中，約850萬人的1800萬張以上的照片。

國家標準及科技研究所測試來自99個開發商的189個臉部辨識演算程式，涵蓋大多數商用開發商，包括微軟系統，生物科技公司如Cognitec，以及中國人工智慧公司曠視科技。

這份聯邦報告證實麻省理工學院先前的研究結果，一些大型科技公司的臉部辨識系統，辨識女性和較深膚色臉孔的正確率，比辨識白人男性低得多。

#高雄人 #學習英文 請找 #多益達人林立英文

#高中英文 #成人英文

#多益家教班 #商用英文

#國立大學外國語文學系講師

#新聞英文

Hello my name is Ainun! Im in my final year of studying in Civil Engineering course at Universiti Tun Hussein Onn Malaysia. I hope you enjoy watching my long ass video as i enjoy bringing my little camera everywhere last week lolsz (and pls dont judge my basic editing skills yall) If you are curious abt anything feel free to ask in the comment section below! Thank you for watching cuuuuties!

Social Media
// Twitter : https://twitter.com/blushp1nk
// Instagram : https://www.instagram.com/from_aineun/

Camera
// Sony RX100 M2
// iPhone 6

Editing software
// Adobe Premiere Pro

Hello my name is Ainun! Im in my final year of studying in Civil Engineering course at Universiti Tun Hussein Onn Malaysia. Here's my uni life updates. Currently im in week 10 of the semester, which basically means, HELL. Im packed with tests, project submissions, final year project submissions and ASSIGNMENTS GOD PLS HV SOME MERCY. A very short video to keep u updated, if u cares lol. Bye.

Social Media
// Twitter : https://twitter.com/blushp1nk
// Instagram : https://www.instagram.com/from_aineun/

Camera
// Sony RX100 M2
// iPhone 6

Editing software
// Adobe Premiere Pro

Song credit
// Support the artist: https://soundcloud.com/kudasaibeats

Hello my name is Ainun! Im in my final year of studying in Civil Engineering course at Universiti Tun Hussein Onn Malaysia. I hope you enjoy watching my long ass video as i enjoy bringing my little camera everywhere last week lolsz (and pls dont judge my basic editing skills yall) If you are curious abt anything feel free to ask in the comment section below! Thank you for watching cuuuuties!

Social Media
// Twitter : https://twitter.com/blushp1nk
// Instagram : https://www.instagram.com/from_aineun/

Camera
// Sony RX100 M2
// iPhone 6

Editing software
// Adobe Premiere Pro

Song credit - Credits to the respected owner of the song, Jinsang!
// https://soundcloud.com/jinsangbeats/duskvibes