Generative AI models, tools, and applications from the GCC — covering LLMs, image generation, and multimodal AI developed or deployed in the Gulf region.
Saudi Arabian generative AI startup Newera.ai has raised $2.1 million in a pre-seed funding round led by Khwarizmi Ventures. Participants also included angel investors and strategic firms. The company plans to use the funds to develop their technology and expand their reach in the Saudi market. Why it matters: This funding signals increasing investor interest in local AI startups addressing regional needs within Saudi Arabia.
Adobe and Qualcomm have partnered with Humain, an AI company, to advance generative AI capabilities in the Middle East. The collaboration aims to leverage Qualcomm's on-device AI technology and Adobe's creative software to develop AI solutions tailored for the region. Humain will focus on creating locally relevant AI applications and experiences. Why it matters: The partnership signals growing investment in regional AI innovation and the development of culturally relevant AI tools.
KAUST's Center of Excellence for Generative AI will host the fourth annual "Rising Stars in AI" Symposium from April 7-10, 2025. The symposium is designed for emerging researchers (PhD students, PostDocs, and early career faculty) to discuss AI research. Selected speakers will have their flights and hotel expenses covered. Why it matters: This event provides a platform for young AI researchers to present their work and network with peers, fostering innovation and collaboration in the field.
Jorge Amador, a PhD student at KAUST's Visual Computing Center, presented a talk on physically-based simulation for generative AI models. The talk covered the use of synthetic data generation and physical priors to address the need for high-quality datasets. Applications discussed include photo editing, navigation, digital humans, and cosmological simulations. Why it matters: This research explores a promising technique to overcome data scarcity issues in AI, particularly relevant in resource-constrained environments or for sensitive applications.