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University news

Connecting you to the latest AI research and innovation

Stay up-to-date with the latest news from MBZUAI and the wider industry, featuring insights into ongoing University research, innovations, and developments shaping the future of artificial intelligence. The Node gathers expert commentary, press announcements, and initiatives from the University and its partners, keeping you informed on the most relevant trends and breakthroughs.

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Decoding the news: a new application to identify persuasion techniques in the media

Wednesday, 27 March, 2024

Decoding the news: a new application to identify persuasion techniques in the media

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Preslav Nakov, professor and department chair of NLP at MBZUAI, is working to develop applications that can identify the use of persuasion techniques found in the news media, but also in disinformation and propaganda campaigns.

Efficient and inclusive NLP: An instruction-based approach to improve language models

Tuesday, 19 March, 2024

Efficient and inclusive NLP: An instruction-based approach to improve language models

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Alham Fikri Aji, an assistant professor of natural language processing at MBZUAI, recently authored a study proposing a new approach to developing NLP tools that are less resource-intensive than LLMs like OpenAI’s ChatGPT. The research will be presented at the 18th EACL Conference on March 17 in Malta.

Machines and morality: judging right and wrong with large-language models

Wednesday, 13 March, 2024

Machines and morality: judging right and wrong with large-language models

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Monojit Choudhury, a professor of natural language processing at MBZUAI, along with a team of Microsoft researchers, will be presenting a new study on LLMs and their potential for moral reasoning and judgement at the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL).

Researcher inspires inclusion and change

Friday, 8 March, 2024

Researcher inspires inclusion and change

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Karima Kadaoui, remains in the United Arab Emirates (UAE) to utilize the power of artificial intelligence (AI) to assist disadvantaged communities and languages.

Influencing AI: Five key innovations from MBZUAI to celebrate as part of UAE Innovation Month

Tuesday, 27 February, 2024

Influencing AI: Five key innovations from MBZUAI to celebrate as part of UAE Innovation Month

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In-line with this year’s theme for UAE Innovation Month – ‘Influential Innovations’ – Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is celebrating its world-leading artificial intelligence (AI) research and development for industrial applications.

A new approach to improve vision-language models

Wednesday, 21 February, 2024

A new approach to improve vision-language models

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An MBZUAI team are presenting a study at the 38th Annual AAAI Conference on Artificial Intelligence that proposes a novel problem and solution to improve the openness and generalizability of vision-language models.

Teaching machines what they don’t know: a new approach to open-world object detection

Tuesday, 20 February, 2024

Teaching machines what they don’t know: a new approach to open-world object detection

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MBZUAI assistant professor Hisham Cholakkal and PhD student Sahal Shaji Mullappilly will share their recent innovations on open-world object detection at the upcoming AAAI Conference in Canada.

Reaping the full benefits of AI-driven applications

Monday, 12 February, 2024

Reaping the full benefits of AI-driven applications

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Two scientists at MBZUAI are working to advance an emerging approach to designing neural networks that has the potential to improve their computational power and energy efficiency.

Understanding cause and effect in biology

Friday, 2 February, 2024

Understanding cause and effect in biology

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MBZUAI professor Kun Zhang is working with colleagues to build a foundation model for biology, which could play a significant role in helping scientists develop the next generation of medicines.

A new way of seeing: vision transformers for radar data

Monday, 29 January, 2024

A new way of seeing: vision transformers for radar data

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An MBZUAI team, including a recent master’s graduate, have authored a study that proposes new ways in which radar could be used to identify objects in the environment.

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