My First Announcement
NYU Center for Data Science
by Ashley McDonald
2M ago
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More Important News from the Prof
NYU Center for Data Science
by Ashley McDonald
2M ago
No his zril maiorum. Omnis nonumy omnesque per eu, quo eros affert et. Pri alii vivendo an, omnis bonorum at his. Eam illud dicunt qualisque et, novum accusamus temporibus mei ex. Cu quidam insolens ius. Insolens iracundia qui at, ad admodum mediocrem mea. Populo pertinax at eam, eam placerat suscipiantur id. Enim quaeque praesent cu his, eu sea docendi instructior. In sea nonumes honestatis ..read more
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Paginating the Index
NYU Center for Data Science
by Ashley McDonald
2M ago
When there are a lot of posts, the Announcements index will be paginated. (You can change the number of posts per page in Settings / Reading.) Lorem ipsum doming tibique. In mei sumo eloquentiam. Mucius fierent mea at, ridens reformidans at est. Mea vocibus molestie insolens ei, usu no molestie probatus imperdiet. His animal detraxit consectetuer ea. An consul nusquam dignissim pro, at referrentur liberavisse vis. No ipsum nostro nam, eos an nobis tritani, te modo nostro ullamcorper ius. Debet congue oratio no nam, an illud ludus forensibus nam, quod fugit sonet pro id. Eam clita luptatum ..read more
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The Announcements Page
NYU Center for Data Science
by Ashley McDonald
2M ago
The Announcements page is an index to the posts, displaying brief excerpts. Each excerpt is linked to a separate page that shows the individual post in full. Lorem ipsum eos agam numquam sanctus. Melius reformidans ad has, ad facilisi postulant est, tota nostro iuvaret eu sit. Vis modo ceteros dissentiet ut, vis id legere cetero convenire. Nec adhuc nullam ad, ei mentitum democritum constituto nec, ad nec timeam voluptua senserit. Est mentitum sententiae eu, natum accusam atomorum cum ea ..read more
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A Blog for Announcements
NYU Center for Data Science
by Ashley McDonald
2M ago
On this website, we’re using the WordPress blog structure for announcements from the instructor. Each announcement gets a separate, dated blogpost. Lorem ipsum eu ferri veniam, dictas utroque invidunt et sit. Mel etiam ornatus an. Dico constituam est in, cibo nostrud apeirian ius et. Vix sumo dicam cu. Meis percipitur efficiendi has ut. Qui ei malis aliquid impedit, mea ne vero inermis. Quando commune abhorreant et sit. Ut dictas eirmod dissentiet pro. Hinc quot vivendo ne mei, ad nam cetero molestie mandamus. Pri an cetero mnesarchum, pri eu tation persecuti efficiendi. Quis detraxit vix ..read more
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Creating Synthetic Languages
NYU Center for Data Science
by Team Admin
1y ago
Why is “unbreakable” such a special word for linguists? Unbeknownst to the general public, the word is actually composed of three smaller units that linguists call morphemes. Referring to the smallest meaningful grammatical unit of a language, the three morphemes in ‘unbreakable’ are ‘un’ , ‘break’, and ‘able’. Studying the underlying morpheme structures within a word has been one focus of Professor Jason Eisner’s research from Johns Hopkins University. When speaking to CDS’ Text-As-Data seminar, Eisner explained that they have so far used computational techniques to automatically analyze the ..read more
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Using AI To Generate Images
NYU Center for Data Science
by Team Admin
1y ago
There currently exist two main approaches to generating images using artificial intelligence: Generative Adversarial Networks (GAN) and Variational Autoencoding (VAE). GAN pits two neural networks against one another in order to improve their generation of photorealistic images. In GAN, there is a generator which produces fake images, and a discriminator, which differentiates the fake images from the real ones. They train together: the discriminator processes the variations between the real and the fake images and informs the generator on how to produce more accurate fake images. Ideally, as t ..read more
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Say Hello to Nematus, A New Toolkit for Neural Machine Translation
NYU Center for Data Science
by Team Admin
1y ago
“Translation Latin Alphabet” by Jesse Burgheimer, Ladislav Faigl, David Levy,  Xiaomingyan is licensed under CC BY 2.0 Just last week, CDS Professor Kyunghyun Cho and an international group of his colleagues* released Nematus, an exciting toolkit for Neural Machine Translation (NMT). Funded by the European Union’s Horizon 2020 research and innovation programme, Nematus performs neural machine translation using an encoder-decoder model, an approach that replaces traditional ‘phrase based’ translation and has become increasingly popular in the field. The toolkit “has recently established it ..read more
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How Can We Use Data to Make Self-Driving Cars Safer?
NYU Center for Data Science
by Team Admin
1y ago
As the data surrounding Automated Vehicles grows, safety improves but privacy concerns also arise. The majority of human-operated vehicle accidents occur due to human errors like drunk driving or road rage. Presumably, AVs will lead to a safer driving environment by reducing, and one day, removing, the human factor from the road. Big data is already being collected from cars with onboard systems. Only recently, MobilEye, an on-board system provider to IBM and Mercedes was acquired by Intel, Vasant Dhar, a professor and director of graduate studies at the CDS, recounts. These onboard systems ar ..read more
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Big Data, Big Questions: How Does Tumblr’s Graph-Based Topic Modeling Work?
NYU Center for Data Science
by Team Admin
1y ago
What makes Tumblr stand apart from other social media platforms lies in the unique way its users communicate with each other. Each user has their own highly customizable blog where they can post and share content—like articles, images, GIFs, or videos—or re-post content published by another user. Sharing and re-posting content is not only key to how social connections are formed, but also how trending and popular topics are established, since the user must tag each post that they publish. But with over 335 million microblogs, how can Tumblr keep track of which topics are most popular? While ha ..read more
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