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An exhilarating experience

KAUST ·

KAUST's Discovery Week featured a gala and awards ceremony. Professor Gilles Lubineau opened the proceedings at the 2017 WEP Final Gala. A Javanese shadow puppet performance of the “Ramayana Epic” was also part of the event. Why it matters: Showcases KAUST's commitment to cultural exchange alongside its research activities.

PALO: A Polyglot Large Multimodal Model for 5B People

arXiv ·

Researchers introduce PALO, a polyglot large multimodal model with visual reasoning capabilities in 10 major languages including Arabic. A semi-automated translation approach was used to adapt the multimodal instruction dataset from English to the target languages. The models are trained across three scales (1.7B, 7B and 13B parameters) and a multilingual multimodal benchmark is proposed for evaluation.

'Food for All' the KAUST community

KAUST ·

The KAUST community held the opening night of its 2016 Enrichment in the Fall program. The event's theme was "Food for All." Photos from the event were taken by Meres Weche. Why it matters: This community event highlights KAUST's engagement with broader social themes, though the AI relevance is low.

From Individual to Society: Social Simulation Driven by LLM-based Agent

MBZUAI ·

Fudan University's Zhongyu Wei presented research on social simulation driven by LLMs, covering individual and large-scale social movement simulation. Wei directs the Data Intelligence and Social Computing Lab (Fudan DISC) and has published extensively on multimodal large models and social computing. His work includes the Volcano multimodal model, DISC-MedLLM, and ElectionSim. Why it matters: Using LLMs for social simulation could provide new tools for understanding and potentially predicting social dynamics in the Arab world.