Researchers at NYU Abu Dhabi have developed an AI system capable of translating spoken language into sign language. This innovative technology aims to enhance communication accessibility for individuals who are deaf or hard-of-hearing. The system leverages advancements in artificial intelligence, likely combining natural language processing for speech understanding and computer vision for sign generation. Why it matters: This development has the potential to significantly improve inclusion and communication for deaf communities within the Middle East and globally, bridging critical communication gaps.
The Technology Innovation Institute (TII) and NYU Abu Dhabi (NYUAD) have signed a collaboration agreement to deepen strategic collaboration in research, education, and talent development. The partnership includes a Research and Development Sponsorship Agreement and a Framework Fellowship Program Agreement. TII and NYUAD will collaborate on joint research projects across areas like AI, robotics, and quantum science, and TII will sponsor NYUAD students for research in priority technology domains. Why it matters: The partnership aims to bridge fundamental research with real-world applications, accelerate scientific discovery, and develop a pipeline of skilled researchers in Abu Dhabi.
The Cryptography Research Center (CRC) of the Technology Innovation Institute (TII) in Abu Dhabi is co-hosting the 21st Cryptology and Network Security Conference (CANS 2022) in cooperation with Springer, IACR, and NYU Abu Dhabi. The conference includes a workshop on AI and automation in cryptography and network security, with talks from experts like Claudia Diaz from Nym Technologies. Topics covered include post-quantum cryptography, blockchain security, and cryptanalysis techniques. Why it matters: This event highlights the UAE's growing role as a hub for cutting-edge research in cryptography and cybersecurity, fostering collaboration between academia and industry.
TII's Secure Systems Research Center (SSRC) in Abu Dhabi has appointed international experts to its Board of Advisors. The advisors have expertise in areas like autonomous computing, cyber-physical systems, and cryptology. The board includes experts from Khalifa University, NYU Abu Dhabi, Dubai Electronic Security Center, and Purdue University. Why it matters: The move strengthens the UAE's cybersecurity research capabilities and aligns with its focus on developing secure autonomous systems.
NYU Abu Dhabi and MBZUAI researchers have developed ARWI, a free web application to help Arabic language learners improve their writing skills in Modern Standard Arabic. ARWI provides essay prompts aligned with CEFR skill levels, features an Arabic text editor, and gives personalized feedback. The tool won the Diversity Award at the Workshop on Intelligent and Interactive Writing Assistants (In2Writing). Why it matters: This tool can help preserve the quality and personal voice of Arabic writing amid the rise of LLMs.
NYU and NYU Abu Dhabi researchers are working on user-centric gender rewriting in NLP, especially for Arabic. They are building an Arabic Parallel Gender Corpus and developing models for gender rewriting tasks. The work aims to address representational harms caused by NLP systems that don't account for user preferences regarding grammatical gender. Why it matters: This research promotes fairness and inclusivity in Arabic NLP by enabling systems to generate gender-specific outputs based on user preferences, mitigating biases present in training data.
Muhammad Shafique from NYU Abu Dhabi discusses building energy-efficient and robust EdgeAI systems. The talk covers trends, challenges, and techniques for optimizing software and hardware stacks. These optimizations aim to enable embodied AI in autonomous systems, IoT-Healthcare, Industrial-IoT, and smart environments. Why it matters: The research addresses key challenges in deploying AI on resource-constrained edge devices in the GCC region, particularly regarding energy efficiency and security.
Maha Elgarf from NYU Abu Dhabi presented research on using social robots to stimulate creativity in children through subconscious mimicry, leveraging the 'chameleon effect'. The research involved a series of studies where children engaged in storytelling with a social robot, and their creativity was assessed. Elgarf also discussed using Large Language Models (LLMs) in education and challenges in the field. Why it matters: This explores innovative applications of social robotics and AI in education within the UAE, potentially enhancing children's learning and creativity.