Karen Hao
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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Timnit Gebru
Timnit Gebru ( am, ትምኒት ገብሩ; born 1983/1984) is an American computer scientist who works on algorithmic bias and data mining. She is an advocate for diversity in technology and co-founder of Black in AI, a community of Black researchers working in artificial intelligence (AI). She is the founder of the Distributed Artificial Intelligence Research Institute (DAIR). In December 2020, Gebru was the center of a public controversy stemming from her abrupt and contentious departure from Google as technical co-lead of the Ethical Artificial Intelligence Team. Higher management had requested she withdraw an as-yet-unpublished paper or remove the names of all Google coauthors, and said that the paper ignored recent research. She requested insight into the decision, and warned that non-compliance would result in her negotiating her departure. Google terminated her employment immediately, stating they were accepting her resignation. Gebru has been recognized widely for her ...
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Yann LeCun
Yann André LeCun ( , ; originally spelled Le Cun; born 8 July 1960) is a French computer scientist working primarily in the fields of machine learning, computer vision, mobile robotics and computational neuroscience. He is the Silver Professor of the Courant Institute of Mathematical Sciences at New York University and Vice-President, Chief AI Scientist at Meta Platforms, Meta. He is well known for his work on optical character recognition and computer vision using convolutional neural networks (CNN), and is a founding father of convolutional nets. He is also one of the main creators of the DjVu image compression technology (together with Léon Bottou and Patrick Haffner). He co-developed the Lush programming language with Léon Bottou. LeCun received the 2018 Turing Award (often referred to as "List of prizes known as the Nobel of a field or the highest honors of a field, Nobel Prize of Computing"), together with Yoshua Bengio and Geoffrey Hinton, for their work on deep learn ...
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Mike Schroepfer
Mike Schroepfer is an entrepreneur, technical architect and manager who was the chief technology officer (CTO) at Meta Platforms between March 2013 and March 2022. Education Schroepfer attended Spanish River Community High School in Palm Beach County, Florida, graduating in 1993. He holds a bachelor's degree (1997) and a master's degree (1999) in computer science from Stanford University. Career He was an engineer at computer software company Puffin Designs from October 1997 to November 1999 when he became a partner in Reactivity, Inc., a computer software consulting practice. Schroepfer founded the computer software company CenterRun in June 2000, becoming its Chief Architect and Director of Engineering. CenterRun was acquired by Sun Microsystems in November 2003. After the take over, he became the Chief Technology Officer for Sun's data center automation division ("N1"). Schroepfer was the Vice President of engineering at Mozilla Corporation from July 2005 to August 200 ...
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Machine Learning
Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, agriculture, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.Hu, J.; Niu, H.; Carrasco, J.; Lennox, B.; Arvin, F.,Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning IEEE Transactions on Vehicular Technology, 2020. A subset of machine learning is closely related to computational statistics, which focuses on making predicti ...
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