MBZUAI and Quris-AI have partnered to launch a Bio-AI center in Abu Dhabi during Abu Dhabi Sustainability Week. The center will focus on developing personalized medications tailored to the MENA region's diverse populations, leveraging Quris-AI's 'patient-on-a-chip' technology and MBZUAI's AI expertise. Quris-AI is establishing a UAE subsidiary, Quris-UAE, in Abu Dhabi as part of this collaboration. Why it matters: This initiative positions Abu Dhabi as a hub for Bio-AI research and personalized medicine, potentially accelerating drug development and reducing clinical trial failures in the region.
Shahar Harel, Head of AI at Quris, presented a BIO-AI approach to drug safety assessment using a 'patient-on-a-chip' platform. This platform simulates the human body and generates high-frequency microscopy and biochemical data on drug interactions, considering patient genomics and ethnicity. The data is used to train multimodal deep learning models to predict drug safety and provide patient-specific recommendations. Why it matters: This approach offers a potential alternative to animal models, promising faster and more personalized drug development while reducing safety concerns.
G42's Core42 has released Jais, a new Arabic large language model. Jais includes 13 billion parameters and was trained on a dataset of 126B tokens, including 43B Arabic tokens. According to the developers, Jais achieves state-of-the-art results on Arabic benchmarks and competitive performance on English benchmarks. Why it matters: Jais represents a significant step forward for Arabic NLP, providing a powerful new tool for researchers and developers in the region.
MBZUAI is hosting the third AI Quorum of the academic year, focusing on the future of human-computer interaction (HCI) in the age of AI. The event gathers researchers and practitioners from various disciplines and institutions, including University College London, Apple, and Google. The workshop aims to spur AI research and promote understanding of AI's potential for social good, with previous Quorums focusing on federated learning and statistics. Why it matters: This interdisciplinary focus on HCI at MBZUAI highlights the UAE's commitment to shaping the ethical and practical integration of AI into everyday life.
Hamad Bin Khalifa University's Qatar Computing Research Institute (QCRI) introduced Fanar, an Arabic-centric multimodal generative AI platform featuring the Fanar Star (7B) and Fanar Prime (9B) Arabic LLMs. These models were trained on nearly 1 trillion tokens and are designed to address different prompts through a custom orchestrator. Fanar includes a customized Islamic RAG system, a Recency RAG, bilingual speech recognition, and an attribution service for content verification, sponsored by Qatar's Ministry of Communications and Information Technology. Why it matters: The platform signifies a major step towards sovereign AI development in Qatar, providing advanced Arabic language capabilities and addressing regional needs.