Event forecasting is a challenging, yet consequential task, as humans seek to constantly plan for the future. Existing automated forecasting approaches rely mostly on structured data, such as time-series or event-based knowledge graphs, to help predict future events. In this work, we formulate the forecasting problem as a restricted-domain, multiple-choice, question-answering (QA) task that simulates the forecasting scenario. To showcase the usefulness of this task formulation, we introduce a dataset ForecastQA, a question-answering dataset consisting of 10,392 event forecasting questions, which have been collected and verified via crowdsourcing efforts. We also present our experiments on ForecastQA using BERT-based models and find that our best model achieves 61.0\% accuracy on the dataset, which is still far behind human performance by about 18%. We hope ForecastQA will support future research efforts in bridging this gap.

Lyrics parody swaps one set of words that accompany a melody with a new set of words, preserving the number of syllables per line and the rhyme scheme. Lyrics parody generation is a challenge for controllable text generation. We show how a specialized sampling procedure, combined with backward text generation with XLNet can produce parody lyrics that reliably meet the syllable and rhyme scheme constraints. We introduce the Weird AI Yankovic system and provide a case study evaluation. We conclude with societal implications of neural lyric parody generation.

As explained in the release, the new capabilities have been developed to enhance the firm's "intelligent" machine learning or ML technology.

According to the company, the platform pairs machine learning with ontology-based semantic capabilities. James Malone (JM), SciBite’s chief …

We have done a lot of work to make sure that we can enable the student to work at their own pace … as they need.

The report provides readers with accurate historical statistics and predictions of the future. In order to get a deeper view of "Global Artificial Intelligence …

Both home security solutions are powered by YI Technology's proprietary, EDGE-based artificial intelligence (AI) technology, which provides the most …

Machine Learning as a Service Market research report is the new statistical data source added by A2Z Market Research.

Machine learning could help predict and prevent lead poisoning in children (5:26 -- 13:54).

Amazon has announced a full range of new spherical Echo devices, new motorised smart display, a camera drone that flies around your house, a game-streaming service and more. In a streaming presentation, the firm showed off a smorgasbord of new devices from its various brands, including Ring, Eero Fire and Echo. The new standard Echo ditches its cylindrical shape for a fabric-covered ball design with Amazon's characteristic light-ring in the base to indicate when it is listening to you. It has a new 3in woofer and two tweeters with Dolby processing for stereo sound and automatic adjustment to the acoustics of your room. It also has Amazon's new AZ1 artificial intelligence chip for greater local processing of voice and other actions for increased privacy and speed.