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Karen Hao
Karen Hao is an American journalist and data scientist. Currently a journalist based in Hong Kong for ''The Wall Street Journal'' and previously senior artificial intelligence editor at the MIT Technology Review, she is best known for her coverage on AI research, technology ethics and the social impact of AI. Hao also co-produces the podcast In Machines We Trust and writes the newsletter The Algorithm. Previously, she worked at Quartz as a tech reporter and data scientist and was an application engineer at the first startup to spin out of Google X. Hao's writing has also appeared in Mother Jones, Sierra Magazine, The New Republic, and other publications. Early life and education Hao graduated from The Lawrenceville School in 2011. She studied at the Massachusetts Institute of Technology, graduating with a B.S. in mechanical engineering and a minor in energy studies in 2015. She is a native speaker in both English and Mandarin Chinese. Career Hao is known in the technology ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Massachusetts Institute Of Technology
The Massachusetts Institute of Technology (MIT) is a private land-grant research university in Cambridge, Massachusetts. Established in 1861, MIT has played a key role in the development of modern technology and science, and is one of the most prestigious and highly ranked academic institutions in the world. Founded in response to the increasing industrialization of the United States, MIT adopted a European polytechnic university model and stressed laboratory instruction in applied science and engineering. MIT is one of three private land grant universities in the United States, the others being Cornell University and Tuskegee University. The institute has an urban campus that extends more than a mile (1.6 km) alongside the Charles River, and encompasses a number of major off-campus facilities such as the MIT Lincoln Laboratory, the Bates Center, and the Haystack Observatory, as well as affiliated laboratories such as the Broad and Whitehead Institutes. , 98 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Deepfake
Deepfakes (a portmanteau of "deep learning" and "fake") are synthetic media in which a person in an existing image or video is replaced with someone else's likeness. While the act of creating fake content is not new, deepfakes leverage powerful techniques from machine learning and artificial intelligence to manipulate or generate visual and audio content that can more easily deceive. The main machine learning methods used to create deepfakes are based on deep learning and involve training generative neural network architectures, such as autoencoders, or generative adversarial networks (GANs). Deepfakes have garnered widespread attention for their potential use in creating child sexual abuse material, celebrity pornographic videos, revenge porn, fake news, hoaxes, bullying, and financial fraud. This has elicited responses from both industry and government to detect and limit their use. From traditional entertainment to gaming, deepfake technology has evolved to be increasingly ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
TED (conference)
TED Conferences, LLC (Technology, Entertainment, Design) is an American-Canadian non-profit media organization that posts international talks online for free distribution under the slogan "ideas worth spreading". TED was founded by Richard Saul Wurman and Harry Marks in February 1984 as a tech conference, in which gave a demo of the compact disc that was invented in October 1982. It has been held annually since 1990. TED covers almost all topics – from science to business to global issues – in more than 100 languages. To date, more than 13,000 TEDx events have been held in at least 150 countries. TED's early emphasis was on technology and design, consistent with its Silicon Valley origins. It has since broadened its perspective to include talks on many scientific, cultural, political, humanitarian, and academic topics. It has been curated by Chris Anderson, a British-American businessman, through the non-profit TED Foundation since July 2019 (originally by the non ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Vienna
en, Viennese , iso_code = AT-9 , registration_plate = W , postal_code_type = Postal code , postal_code = , timezone = CET , utc_offset = +1 , timezone_DST = CEST , utc_offset_DST = +2 , blank_name = Vehicle registration , blank_info = W , blank1_name = GDP , blank1_info = € 96.5 billion (2020) , blank2_name = GDP per capita , blank2_info = € 50,400 (2020) , blank_name_sec1 = HDI (2019) , blank_info_sec1 = 0.947 · 1st of 9 , blank3_name = Seats in the Federal Council , blank3_info = , blank_name_sec2 = GeoTLD , blank_info_sec2 = .wien , website = , footnotes = , image_blank_emblem = Wien logo.svg , blank_emblem_size = Vienna ( ; german: Wien ; ba ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Museum Of Applied Arts, Vienna
The MAK – Museum of Applied Arts (German language, German: ''Museum für angewandte Kunst'') is an arts and crafts museum located at Stubenring 5 in Vienna's 1st district Innere Stadt. Besides its traditional orientation towards arts and crafts and design, the museum especially focuses on architecture and contemporary art. The museum has been at its current location since 1871. Since 2004 the building is illuminated in the evenings by the permanent outdoor installation "MAKlite" of American artist James Turrell. In 2015 the MAK became the first museum to use bitcoin to acquire art, when it purchased the screensaver "Event listeners" of Harm van den Dorpel, van den Dorpel. With over 300.000 objects displayed online, the MAK presents the largest online collection within the Austrian Federal Museums. The audio guide to this museum is provided as a web-based app. History On 7 March 1863, the ''Imperial Royal Austrian Museum of Art and Industry'' - today's MAK—was founded by Empero ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Front Page Award
The Front Page Award is an award given by the Newswomen's Club of New York The Newswomen's Club of New York is a nonprofit organization that focuses on women working in the media in the New York City metropolitan area. Founded in 1922 as the New York Newspaper Woman's Club, it included Eleanor Roosevelt, Helen Rogers Reid ... to honor journalistic achievement by women.October 11th 2014, The EconomistWard Award Retrieved August 3, 2015, "...Rosemarie Ward ... has won a Front Page Award from the Newswomen’s Club of New York ..."Newswomen's Club of New YorkThe Front Page Awards, Retrieved August 3, 2015, "...One of the Most Prestigious Awards in Journalism..."LARRY MCSHANE, NEW YORK DAILY NEWS, October 7, 2014Daily News win 3 Front Page Awards from Newswomen's Club of New York: The organization announced Sarah Ryley, Laura Bult and Debbie Egan-Chin were each recipients of its annual journalism awards. Retrieved August 3, 2015, "The Daily News captured three Front Page Awards ... from ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Podcast
A podcast is a program made available in digital format for download over the Internet. For example, an episodic series of digital audio or video files that a user can download to a personal device to listen to at a time of their choosing. Streaming applications and podcasting services provide a convenient and integrated way to manage a personal consumption queue across many podcast sources and playback devices. There also exist podcast search engines, which help users find and share podcast episodes. A podcast series usually features one or more recurring hosts engaged in a discussion about a particular topic or current event. Discussion and content within a podcast can range from carefully scripted to completely improvised. Podcasts combine elaborate and artistic sound production with thematic concerns ranging from scientific research to slice-of-life journalism. Many podcast series provide an associated website with links and show notes, guest biographies, transcripts ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Margaret Mitchell (scientist)
Margaret Mitchell is a computer scientist who works on algorithmic bias and fairness in machine learning. She is most well known for her work on automatically removing undesired biases concerning demographic groups from machine learning models, as well as more transparent reporting of their intended use. Education Mitchell obtained a bachelor's degree in linguistics from Reed College, Portland, Oregon, in 2005. After having worked as a research assistant at the OGI School of Science and Engineering for two years, she subsequently obtained a Master's in Computational Linguistics from the University of Washington in 2009. She enrolled in a PhD program at the University of Aberdeen, where she wrote a doctoral thesis on the topic of Generating Reference to Visible Objects, graduating in 2013. Career and research Mitchell is best known for her work on fairness in machine learning and methods for mitigating algorithmic bias. This includes her work on introducing the concept of 'M ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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