Dr. David Edwards from Harvard University spoke at KAUST about creativity in innovative communities. He believes that we are at the dawn of a grassroots renaissance in the arts, sciences and engineering. Edwards highlighted the importance of learning, experimentation, and production centers in fostering innovation. Why it matters: This talk suggests KAUST is looking to foster a cross-disciplinary culture of innovation, aligning with broader trends in AI and technology development that require diverse skill sets.
Dr. David Paredes from Drexel and Purdue Universities conducted a workshop on sustaining creativity at KAUST's 2015 Winter Enrichment Program. The workshop aimed to inspire students to be creative and remember why they entered their fields. Students used the Reisman Diagnostic Creativity Assessment tool to evaluate their creative strengths in ideation, risk tolerance, solution focus, and motivation. Why it matters: Such workshops, while not directly advancing AI research, foster a culture of innovation and risk-taking that is crucial for breakthroughs in AI and other STEM fields in the region.
MBZUAI Visiting Assistant Professor Gus Xia studies music to understand how AI can act more human-like in high-context activities. Xia analyzes and creates music with computers to explore the differences between human and machine perception. He aims to leverage music's abstract nature to study creative intelligence in AI. Why it matters: This research could lead to AI systems that interact more naturally with humans, particularly in creative fields.
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.
Entrepreneur Alexandru Ionut Budisteanu spoke at KAUST's 2018 Winter Enrichment Program (WEP) about pursuing one's passion to achieve their dreams. Budisteanu shared his journey of creating video games and building an autonomous self-driving car prototype. He emphasized the importance of finding a job or activity that one loves and working with passion. Why it matters: Showcases KAUST's efforts to host inspiring speakers and promote entrepreneurship among students.
Researchers at MBZUAI have developed a new method for controllable poetry generation in Arabic and its dialects, moving beyond traditional analysis tasks for Arabic poetry within Large Language Models (LLMs). They introduce a large-scale, instruction-based dataset in Modern Standard Arabic (MSA) and various Arabic dialects, enabling LLMs to perform tasks like writing, revising, and continuing poems based on user criteria. Experiments show that fine-tuning LLMs on this dataset results in models capable of generating poetry aligned with user requirements, validated by automated metrics and human evaluation. Why it matters: This work represents a significant advancement in Arabic Natural Language Processing, offering tools for creative expression and cultural preservation while opening new avenues for user-guided content generation in culturally rich text forms.