Hao Li, CEO of Pinscreen and associate professor at MBZUAI, discussed the Metaverse at GITEX 2022. Li's work focuses on virtual humans, reality capture, and AI synthesis to enable AI and immersive technologies. He aims to develop tools that prevent cyberthreats like deepfakes. Why it matters: This highlights the GCC's growing role in shaping the development and ethical considerations of metaverse technologies.
MBZUAI welcomes Hao Li, CEO of Pinscreen, as a new faculty member specializing in virtual humans. Li envisions a future where virtual humans facilitate interactions and overcome limitations of physical presence, citing benefits like improved education and remote collaboration. His work focuses on the intersection of computer vision, computer graphics, and machine learning to enable immersive digital experiences. Why it matters: This signals MBZUAI's commitment to advancing research in virtual reality and the metaverse, potentially positioning the UAE as a leader in this emerging field.
MBZUAI has launched a Metaverse Lab led by Hao Li, focusing on integrating computer vision, graphics, and machine learning for metaverse applications. The lab aims to develop AI algorithms for photorealistic virtual humans and dynamic environment digitization. Pinscreen, Li's AI startup, previously created avatars for Expo 2020 Dubai. Why it matters: This initiative positions MBZUAI and the UAE as key players in the development of core technologies underpinning the metaverse and digital communication.
Researchers at ETH Zurich have formalized models of the EMV payment protocol using the Tamarin model checker. They discovered flaws allowing attackers to bypass PIN requirements for high-value purchases on EMV cards like Mastercard and Visa. The team also collaborated with an EMV consortium member to verify the improved EMV Kernel C-8 protocol. Why it matters: This research highlights the importance of formal methods in identifying critical vulnerabilities in widely used payment systems, potentially impacting financial security for consumers in the GCC region and worldwide.
KAUST researchers have developed an artificial electronic retina mimicking the behavior of rod retina cells, utilizing a hybrid perovskite material (MAPbBr3) embedded in PVDF-TrFE-CEF. The photoreceptor array, made of metal-insulator-metal capacitors, detects light intensity through changes in electrical capacitance. Connected to a CMOS-sensing circuit and a spiking neural network, the 4x4 array achieved around 70 percent accuracy in recognizing handwritten numbers. Why it matters: This research paves the way for energy-efficient neuromorphic vision sensors and advanced computer vision applications, potentially revolutionizing camera technology.