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.
G42, in collaboration with UAE Team Emirates-XRG and MET Helmets, unveiled a special-edition AI-designed helmet, created with AI artist Gizem Akdağ, which debuted at Stage 5 of the Tour de France. This event marks the upcoming launch of the second edition of Helmetverse on July 13, a global design platform inviting cycling fans to create their own AI-generated helmet designs. The winning design from the Helmetverse competition, which generated nearly 20,000 designs in its first edition, will be manufactured by MET Helmets and worn by UAE Team Emirates-XRG at the UAE Tour in February 2027. Why it matters: This initiative showcases G42's commitment to making AI accessible for creative and public engagement applications, highlighting the intersection of sports, technology, and fan interaction from a prominent UAE-based AI company.