MBZUAI has launched a series of monthly educational webinars called "MBZUAI AI Talks" starting July 7. These webinars will be led by MBZUAI faculty and leadership, and are open to the public via video conferencing. The talks will cover AI applications across healthcare, transportation, education, energy, and other sectors. Why it matters: This initiative helps to increase public knowledge and understanding of AI and its potential impact on various industries in the region.
MBZUAI is hosting a public webinar on October 6 titled ‘Evolution of Artificial Intelligence: Past, Current and Future’. Dr. Munawar Hayat will discuss AI developments, breakthroughs, and future impact, highlighting deep learning, computer vision, NLP, autonomous driving, and reinforcement learning. The session will also cover AI limitations and future research directions. Why it matters: Public engagement initiatives like this webinar are crucial for fostering broader understanding and trust in AI technologies within the UAE community.
MBZUAI AI Talks hosted a webinar on AI in government, featuring Dr. Mohamed Abdelhameed Al Askar of the Abu Dhabi Digital Authority. Dr. Al Askar highlighted use cases such as machine learning for cardiovascular risk calculation, student performance prediction, and traffic safety tools. The UAE aims for a 60% GDP increase by 2031 through AI, with an estimated AED 353 billion economic benefit. Why it matters: This showcases the UAE's proactive approach to integrating AI across various sectors, particularly in public services and infrastructure.
MBZUAI hosted a webinar by Provost Fakhreddine Karray on "Advances in Operational Artificial Intelligence and Impact on Society." The talk covered AI's origins, advancements with a focus on Operational AI (OAI), and its potential to grow global GDP by 15% as early as 2025. Karray highlighted AI's impact on sectors like healthcare, finance, and transportation, emphasizing its transformative potential and connection to the Fourth Industrial Revolution. Why it matters: This event signals MBZUAI's commitment to disseminating knowledge and fostering discussions on the impact of AI across various sectors, solidifying its role as a thought leader in the region's AI landscape.
Dr. Munawar Hayat from Monash University gave a talk on the history of AI, recent breakthroughs in deep learning, and future research directions. The talk covered computer vision, NLP, autonomous driving, and reinforcement learning. Dr. Hayat also discussed the limitations of AI and challenges in the field. Why it matters: This lecture helps contextualize the rapid progress of AI for students in the region.
MBZUAI is hosting a talk by Dr. Kai-Fu Lee, titled ‘Commercial Applications of AI’ on December 8, 2020. Dr. Lee, an MBZUAI Board of Trustees member, will discuss the evolution of AI and its potential to create value. He posits that "AI is the new electricity," emphasizing its transformative impact. Why it matters: The talk highlights MBZUAI's role in fostering discussions around AI's commercial applications and its broader impact on society and the economy.
The Director-General of the Abu Dhabi Digital Authority, Mohamed Abdelhameed Al Askar, will give a talk on AI adoption in government. The talk will cover key points related to AI utilization within government organizations. Al Askar has experience managing digital initiatives such as the Abu Dhabi Government Services Program (TAMM). Why it matters: This signals the increasing importance of AI in public sector modernization efforts in the UAE and the broader region.
Caltech graduate student Surya Narayanan Hari presented his research on replicating human-like memory in machines at MBZUAI. He discussed how the thalamus, which filters sensory and motor signals in the brain, inspires the development of routed monolithic models in AI. Hari explained that memory retrieval occurs on object, embedding, and circuit levels in the human brain. Why it matters: This talk highlights the potential of neuroscience-inspired AI architectures for improving memory and information processing in AI systems, which could accelerate the development of more efficient and context-aware AI models in the region.