When you purchase through links in our articles, we may earn a small commission. Try Adobe Acrobat Studio for free today! Communication is a central part of any business or creative endeavour. Whether its sharing information between colleagues or highlighting the advantages of new products and services to customers, getting the messaging right is an essential part of success. Traditionally, this could involve hours of painstaking work, preparing documents and then replicating their data into slides for presentations.

We thank all reviewers for their valuable feedback and thoughtfull suggestions. To the best of our knowledge, there is no official implementation for the paper by Gu et al. (no link to the code However, in Section 5.1 we compare the lower bound on the objective we use with the one of Gu et These works do not report significant improvements in BLEU scores against the autoregressive baselines. Stern et al.(2019) focus on parallel decoding (with the final result matching the vanilla Transformer). NMT models for high-resource language pairs), we will add them should the paper get accepted. Note that we consider not only natural language output, but also Image-to-Latex, where output is LaTex formulas.

Stimulus-drivenbrain-computer interfaces (BCIs), such astheP300 speller,rely onusing asequence ofsensory stimuli toelicit specific neural responses ascontrol signals, while a user attends to relevant target stimuli that occur within the sequence. In current BCIs, the stimulus presentation schedule is typically generated in a pseudo-random fashion. Given the non-stationarity of brain electrical signals, a better strategy could be to adapt the stimulus presentation schedule in real-time by selecting the optimal stimuli that will maximize the signal-to-noise ratios of the elicited neural responses and provide the most information about the user's intent based on the uncertainties of the data being measured. However, the high-dimensional stimulus space limits the development of algorithms with tractable solutions for optimized stimulus selection to allow for real-time decision-making within the stringent time requirements of BCI processing.