KAUST computer scientist Mohamed Elhoseiny and his VISION CAIR team developed Creative Walk Adversarial Networks (CWAN) for novel art generation. CWAN learns from existing art styles and deviates using 'random walk deviation' methods. Human evaluators preferred CWAN-generated art compared to other methods like StyleGAN2. Why it matters: The research demonstrates AI's potential as a valuable tool for artists, enabling the creation of unique and meaningful art, and explores more effective emotional language in image captioning.
The UAE National Experts Program (NEP) has received over 1,000 applications for its artificial intelligence track. The NEP aims to cultivate and prepare UAE national experts across various strategic sectors. The AI track focuses on developing expertise in AI to support the UAE's national AI strategy. Why it matters: This high application rate signals strong interest in AI among UAE nationals, crucial for advancing the UAE's AI ambitions and digital transformation.
The Technology Innovation Institute's Cryptography Research Center (CRC) in Abu Dhabi has appointed a Board of Advisors comprised of global cryptography experts. The board includes Prof. Joan Daemen, Prof. Lejla Batina, Dr. Guido Bertoni, Prof. Carlos Aguilar, Prof. Damien Stehlé, and Prof. Tim Güneysu. The advisors will guide CRC's research efforts in areas like post-quantum cryptography and hardware-based cryptography. Why it matters: This move strengthens the UAE's position as a global hub for cryptography research and development, fostering innovation in this critical field.
Professor Mérouane Debbah, Chief Researcher at AIDRC, and his co-authors received the 2022 IEEE TAOS TC Best GCSN Paper Award for their work on federated quantized neural networks. The paper, presented at IEEE ICC 2022, explores the tradeoff between energy, precision, and accuracy in these networks. The research proposes an optimal quantization level to minimize energy consumption during training, making it less prohibitive for mobile devices. Why it matters: The award recognizes work that reduces the carbon footprint of large-scale AI systems, a key challenge for sustainable AI deployment in the region and globally.