PMNCH | ICAAP charts a way forward for rejuvenating the AIDS response
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ICAAP charts a way forward for rejuvenating the AIDS response
12-14 MARCH 2016 | DHAKA, BANGLADESH
The Partnership for Maternal, Newborn & Child Health participated in the 12th International Congress on AIDS in Asia and the Pacific (ICAAP), held in Dhaka from 12 - 14 March 2016. (...) On the last day of the congress, delegates unanimously approved and adopted a declaration---The Dhaka Declaration—which is a road map for rejuvenating the AIDS response.
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© WHO 2022
Language:English
Score: 1269919.1
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https://www.who.int/pmnch/media/events/2016/icaap/en/
Data Source: un
By deploying facial recognition technology at assemblies, these interferences occur on a mass and indiscriminate scale, as this requires the collection and processing of facial images of all persons captured by the camera equipped with or connected to a facial recognition technology system. [72: European Court of Human Rights, Reklos and Davourlis v. (...) In any case, any use of recording and facial recognition technology should be open to judicial challenge. (...) Corporate secrecy often prevents sufficient public scrutiny of facial recognition technology as a commercial product.
Language:English
Score: 1267925.1
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https://www.ohchr.org/sites/de...Documents/A_HRC_44_24_AEV.docx
Data Source: un
Advanced technology and society: Facial recognition is no longer science fiction | UNHCR Blog
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Advanced technology and society: Facial recognition is no longer science fiction
Jul 18, 2018
Abu Ahmad, 29, scans his iris at a branch of Cairo Amman Bank in the Jordanian capital. ; Jordan is the first country in the world to use iris scan technology to enable Syrian refugees to access monthly cash assistance provided by UNHCR. (...) In his new article “ Facial recognition technology: The need for public regulation and corporate responsibility “, The president and chief legal officer of Microsoft, Brad Smith, calls for government regulation and for the development of norms around acceptable uses around facial recognition technology.
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https://www.unhcr.org/blogs/ad...ion-no-longer-science-fiction/
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Page 51 - ITU Journal Future and evolving technologies Volume 2 (2021), Issue 4 – AI and machine learning solutions in 5G and future networks
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Page 51 - ITU Journal Future and evolving technologies Volume 2 (2021), Issue 4 – AI and machine learning solutions in 5G and future networks
P. 51
ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 4 Fig. 10 – Architecture to calculate the af ine parameters from video features in multimodal adaptive normalization Fig. 11 – Architecture to calculate the af ine parameters from audio features in multimodal adaptive normalization and Audio Melspectrogram Features (AMF) from audio resents the contour of a speci ic facial part, e.g., upper domain & static image and Optical Flow (OF)/facial Key‑ left eyelid and nose bridge. (...) We have used a pre‑ 2 heatmap predictor which predicts the keypoint heatmap trained model to calculate the ground truth of heatmap having the information of various facial parts, e.g., up‑ and have applied mean square error loss between pre‑ per left eyelid and nose bridge. (...) This is optimization with mean square error loss with a pretrained facial key‑ The predictor model is based on Hourglass architecture point detection model. [57] that, from the input image, estimates K heatmaps ∈ [0, 1]H×W, one for each keypoint, each of which rep‑ 2 https://github.com/raymon-tian/hourglass-facekeypoints-detection © International Telecommunication Union, 2021 35
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https://www.itu.int/en/publica...4/files/basic-html/page51.html
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The error rate cited refers not to how accurate those
applications were in matching the identity of actual people, but rather whether the
individuals in photographs assessed by the facial recognition tools being tested
were male or female.
(...) For example, in a recent trial conducted by the
London Metropolitan Police, the facial recognition application resulted in a 96%
rate of ‘false positives’ in matching the identity of individuals.3
17. (...) Australian Human Rights Commission 24 June 2019
7
Endnotes 1 For more information see: Australian Human Rights Commission, Human Rights & Technology
(2019), https://tech.humanrights.gov.au. 2 Joy Buolamwini and Timnit Gebru, Gender Shades: Intersectional Accuracy Disparities in
Commercial Gender Classification, Conference on Fairness, Accountability, and Transparency –
Proceedings of Machine Learning Research (2018), http://gendershades.org. 3 Lizzie Dearden, Facial recognition wrongly identifies public as potential criminals 96% of time, figures
reveal, The Independent (7 May 2019), https://www.independent.co.uk/news/uk/home-
news/facial-recognition-london-inaccurate-met-police-trials-a8898946.html.
https://tech.humanrights.gov.au/
http://gendershades.org/
https://www.independent.co.uk/news/uk/home-news/facial-recognition-london-inaccurate-met-police-trials-a8898946.html
https://www.independent.co.uk/news/uk/home-news/facial-recognition-london-inaccurate-met-police-trials-a8898946.html
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Score: 1258270.2
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https://www.ohchr.org/sites/de...ts/HRBodies/CERD/GC36/AHRC.pdf
Data Source: un
[footnoteRef:14] Facial recognition technology also may use different techniques. Depending on the technology used – real time facial recognition or other – it may have different impact. (...) Olivia Solon, “Facial recognition database used by FBI is out of control, House committee hears”, The Guardian, 27 March 2017, available at: https://www.theguardian.com/technology/2017/mar/27/us-facial-recognition-database-fbi-drivers-licenses-passports. ]
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https://www.ohchr.org/sites/de...GC36/PrivacyInternational.docx
Data Source: un
This model is trained to gen‑ a inite number of emotions, blinks, facial action units erate disentangled content and motion vectors such that movements. they can generate audios with different emotions and content. (...) The model renders the 3D facial animation into CNN‑based architectures for audio to video genera‑ video frames using the texture and lighting information tion: A lot of work has been done on CNN to generate obtained from the input video. (...) Our predicted optical low/keypoint heatmap as an input to approach has used multimodal adaptive normalization in learn the movements and facial expressions on the target GAN‑based architecture to generate realistic videos. image with audio as an input.
Language:English
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https://www.itu.int/en/publica...4/files/basic-html/page48.html
Data Source: un
This initiative works to identify and rejuvenate natural springs which can support communities to improve sanitation, nutrition and livelihoods. (...) We applied the traditional hydrogeological principles and have successfully rejuvenated 3 springs in our habitat with the support of my community,” says Rajkumar Naik, a hydrogeologist from Piscu Majhi’s Tukuguda village.
(...) Besides learning about spring rejuvenation, we also learned about technology and usefulness.
Language:English
Score: 1235140.8
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https://www.undp.org/india/sto...odishas-indigenous-communities
Data Source: un
Comments on: Advanced technology and society: Facial recognition is no longer science fiction
Comments on: Advanced technology and society: Facial recognition is no longer science fiction
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‘Rejuvenation of Libyan patriotism’ deserves full Security Council support, says UN mission chief | | 1UN News
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‘Rejuvenation of Libyan patriotism’ deserves full Security Council support, says UN mission chief
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UN Photo/Violaine Martin
Acting Special Representative of the Secretary-General Stephanie Williams (right)and the delegations of the two parties listen to Libyan national anthem at the beginning of the Meeting of the Libyan Political Dialogue Forum's Advisory Committee, in Geneva on 13 January 2020.
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‘Rejuvenation of Libyan patriotism’ deserves full Security Council support, says UN mission chief
28 January 2021
Peace and Security
The top UN official in Libya urged the Security Council on Thursday to express clear support for a new unified government in Libya, amid hopeful signs that a decade of armed conflict might finally be coming to an end.
(...) Williams told the Council, meeting via video-teleconference due to the COVID-19 pandemic.
“This rejuvenation of Libyan patriotism must be sustained, harnessed and supported by this Council to open a new path for Libya towards democracy, respect for human rights, accountability and justice under the rule of law”, she said.
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https://news.un.org/en/story/2021/01/1083282
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