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Forthcoming machine learning and AI seminars: April 2025 edition
This post contains a list of the AI-related seminars that are scheduled to take place between 1 April and 31 May 2025. All events detailed here are free and open for anyone to attend virtually. Lie-Poisson Neural Networks (LPNets): Data-Based Computing of Hamiltonian Systems Speaker: Vakhtang Poutkaradze (University of Alberta) Organised by: University of Minnesota Zoom registration is here. Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function. Speaker: Anh Nguyen (Carnegie Mellon University) Organised by: Carnegie Mellon University Zoom link is here.
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Forthcoming machine learning and AI seminars: March 2025 edition
This post contains a list of the AI-related seminars that are scheduled to take place between 3 March and 30 April 2025. All events detailed here are free and open for anyone to attend virtually. Pareto sensitivity, most-changing sub-fronts, and optimal knee solutions Speaker: Luis Nunes Vicente (Lehigh University) Organised by: Association of European Operational Research Societies To receive the seminar link, sign up to the mailing list. Title to be confirmed Speaker: Maximilian Nickel (Meta AI) Organised by: Vanderbilt University Check the Google group for Zoom instructions. Unsupervised Discovery of Interpretable Structure in Complex Systems Speaker: Mark Hamilton (MIT/Microsoft) Organised by: EPFL Zoom link is here.
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Do Language Models Understand Honorific Systems in Javanese?
Farhansyah, Mohammad Rifqi, Darmawan, Iwan, Kusumawardhana, Adryan, Winata, Genta Indra, Aji, Alham Fikri, Wijaya, Derry Tanti
The Javanese language features a complex system of honorifics that vary according to the social status of the speaker, listener, and referent. Despite its cultural and linguistic significance, there has been limited progress in developing a comprehensive corpus to capture these variations for natural language processing (NLP) tasks. In this paper, we present Unggah-Ungguh, a carefully curated dataset designed to encapsulate the nuances of Unggah-Ungguh Basa, the Javanese speech etiquette framework that dictates the choice of words and phrases based on social hierarchy and context. Using Unggah-Ungguh, we assess the ability of language models (LMs) to process various levels of Javanese honorifics through classification and machine translation tasks. To further evaluate cross-lingual LMs, we conduct machine translation experiments between Javanese (at specific honorific levels) and Indonesian. Additionally, we explore whether LMs can generate contextually appropriate Javanese honorifics in conversation tasks, where the honorific usage should align with the social role and contextual cues. Our findings indicate that current LMs struggle with most honorific levels, exhibitinga bias toward certain honorific tiers.
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- Information Technology > Artificial Intelligence > Natural Language > Large Language Model (1.00)
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Learning Curve: The new players in Congress
Fox News senior congressional correspondent Chad Pergram joins'Fox News Live' to explain how he prepares to report on Congress for the upcoming year. Every two years, the period between the November election and when the new Congress begins is often the busiest swath of time for covering Congress. Reporters are trying to figure out who won their elections and who lost. The existing Congress is back, attempting to prevent a government shutdown and often plowing through a landscape of other major legislation. There are often leadership elections.
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Forthcoming machine learning and AI seminars: May 2023 edition
This post contains a list of the AI-related seminars that are scheduled to take place between 10 May and 30 June 2023. All events detailed here are free and open for anyone to attend virtually. Natural Language Generation Problems and Challenges Speaker: Konstantinos Diamantaras Organised by: Chalmers AI Research Centre Zoom link is here. Exhaustive Symbolic Regression (or how to find the best function for your data) Speaker: Harry Desmond (University of Portsmouth) Organised by: University of Lisbon Register here. Multi-Fidelity Bayesian Optimization with Unreliable Information Sources Speakers: Julien Martinelli (Aalto University) Organised by: Finnish Center for Artificial Intelligence Zoom link is here.
- Europe > Portugal > Lisbon > Lisbon (0.32)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.06)
- Europe > Netherlands > North Brabant > Eindhoven (0.06)
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Ever wanted to hear Donald Trump speaking Hindi? Try the AI tool that can clone anyone's voice
He has one of the most instantly recognisable voices in Britain, but have you ever wondered what David Attenborough would sound like speaking German? Well, now you can find out, thanks to a new AI tool that can clone anyone's voice and make them say anything in multiple languages. The tool, by ElevenLabs, requires just a few seconds of audio, and even maintains the speaker's original tone of voice. Creators hope this will'expand the horizons' in numerous fields including publishing, game development and the media. You can try it yourself on ElevenLabs' website using your own voice or that of your favourite celebrity!
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New voice cloning AI lets "you" speak multiple languages
This article is an installment of Future Explored, a weekly guide to world-changing technology. You can get stories like this one straight to your inbox every Thursday morning by subscribing here. In January, Microsoft unveiled an AI that can clone a speaker's voice after hearing them talk for just three seconds. While this system, VALL-E, was far from the first voice cloning AI, its accuracy and need for such a small audio sample set a new bar for the tech. Microsoft has now raised that bar again with an update called "VALL-E X," which can clone a voice from a short sample (4 to 10 seconds) and then use it to synthesize speech in a different language, all while preserving the original speaker's voice, emotion, and tone.
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DataHour Sessions - Analytics Vidhya
Do you know that, for the past 5 years, 'Data Scientist' has consistently ranked among the top 3 job professions in the US market? Having Technical skills and knowledge is one of the best ways to get a hike in your career path. Keeping this in mind, many working professionals and students have started upskilling themselves. To upskill yourself, and expand your Data Tech knowledge, mark your calendars and benefit from the FREE DataHour sessions. Here, at Analytics Vidhya, we aim to build a future Data-Tech Community.
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