We present the Newspaper Bias Dataset (NewB), a text corpus of more than 200,000 sentences from eleven news sources regarding Donald Trump. While previous datasets have labeled sentences as either liberal or conservative, NewB covers the political views of eleven popular media sources, capturing more nuanced political viewpoints than a traditional binary classification system does. We train two state-of-the-art deep learning models to predict the news source of a given sentence from eleven newspapers and find that a recurrent neural network achieved top-1, top-3, and top-5 accuracies of 33.3%, 61.4%, and 77.6%, respectively, significantly outperforming a baseline logistic regression model's accuracies of 18.3%, 42.6%, and 60.8%. Using the news source label of sentences, we analyze the top n-grams with our model to gain meaningful insight into the portrayal of Trump by media sources.We hope that the public release of our dataset will encourage further research in using natural language processing to analyze more complex political biases. Our dataset is posted at https://github.com/JerryWeiAI/NewB .

Formality is one of the important characteristics of text documents. The automatic detection of the formality level of a text is potentially beneficial for various natural language processing tasks. Before, two large-scale datasets were introduced for multiple languages featuring formality annotation -- GYAFC and X-FORMAL. However, they were primarily used for the training of style transfer models. At the same time, the detection of text formality on its own may also be a useful application. This work proposes the first to our knowledge systematic study of formality detection methods based on statistical, neural-based, and Transformer-based machine learning methods and delivers the best-performing models for public usage. We conducted three types of experiments -- monolingual, multilingual, and cross-lingual. The study shows the overcome of Char BiLSTM model over Transformer-based ones for the monolingual and multilingual formality classification task, while Transformer-based classifiers are more stable to cross-lingual knowledge transfer.

Duke law and philosophy professor and author Nita Farahany says the challenge for humans with quickly developing artificial intelligence is the ethical and legal constraints around it. Drake has amassed a collection of bras that would rival Victoria's Secret. The "Rich Flex" rapper shared a photo on his Instagram this week with a big smile and his arms spread wide in front of hundreds of bras of different styles, colors and sizes laid out on the floor like a lingerie store. "Remember when we both forgot who the f--- I was in unison…that wavelength was def a foolish one," he captioned the post. Rapper Jeleel commented, "bruh got a library full of bras."

At least five Ukrainian combat drones have been downed over Russian territory as Kyiv continues with a pledge to bring Moscow's war in Ukraine back to Russia. Two drones were shot down on approach to Bryansk city in Russia's southwest, two were shot down over the southern Rostov region, and one was intercepted near the capital, Moscow, Russian officials and state news agencies reported early on Thursday. One person was injured and several vehicles damaged when one drone was shot down and crashed in the city of Rostov-on-Don in the early hours of Thursday, according to Russia's state-run TASS news agency. "According to verified information, air defence systems shot down two unmanned aerial vehicles," Rostov's regional Governor Vasily Golubev said, according to TASS. A separate news report said that buildings were also damaged in Rostov-on-Don due to falling debris from the destroyed drone.

An audiobook can dramatically improve a work of literature's accessibility and improve reader engagement. However, audiobooks can take hundreds of hours of human effort to create, edit, and publish. In this work, we present a system that can automatically generate high-quality audiobooks from online e-books. In particular, we leverage recent advances in neural text-to-speech to create and release thousands of human-quality, open-license audiobooks from the Project Gutenberg e-book collection. Our method can identify the proper subset of e-book content to read for a wide collection of diversely structured books and can operate on hundreds of books in parallel. Our system allows users to customize an audiobook's speaking speed and style, emotional intonation, and can even match a desired voice using a small amount of sample audio. This work contributed over five thousand open-license audiobooks and an interactive demo that allows users to quickly create their own customized audiobooks. To listen to the audiobook collection visit \url{https://aka.ms/audiobook}.

In this paper we propose RecFusion, which comprise a set of diffusion models for recommendation. Unlike image data which contain spatial correlations, a user-item interaction matrix, commonly utilized in recommendation, lacks spatial relationships between users and items. We formulate diffusion on a 1D vector and propose binomial diffusion, which explicitly models binary user-item interactions with a Bernoulli process. We show that RecFusion approaches the performance of complex VAE baselines on the core recommendation setting (top-n recommendation for binary non-sequential feedback) and the most common datasets (MovieLens and Netflix). Our proposed diffusion models that are specialized for 1D and/or binary setups have implications beyond recommendation systems, such as in the medical domain with MRI and CT scans.

If you've got somebody that's had an egg collection, and you've got eggs that need to be fertilised, there's only a small time window for us to be able to do that. Speeding up the process would be hugely advantageous.

A week after being outed for stealthily using AI to produce high school sports reports and publicly "pausing" the project, mega-publisher Gannett has reportedly had to recheck each and every post the AI had written. Did we really learn nothing from CNET's ignoble AI escapades in January? Gannett operates a number of regional and national publications including USA Today, The Arizona Republic and The Detroit Free Press. The company devised its "Lede AI" as a means of automating the droll work of summarizing the box scores of local high school sports leagues -- a task the AI proved wholly incapable of. The Hardin County Tigers defeated the Memphis Business Execs 48-12 in a Tennessee high school football game on Friday.

The person behind an AI-generated song that went viral earlier this year has submitted the track for Grammy Awards consideration. The Recording Academy has stated that such works aren't eligible for certain gongs. However, Ghostwriter, the pseudonymous person behind "Heart on My Sleeve," has submitted the track in the best rap song and song of the year categories, according to Variety. Both of those are songwriting honors. The Academy has suggested it's open to rewarding tracks that are mostly written by a human, even if the actual recording is largely AI-generated.

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