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Hardware Security through the Lens of Dr ML

MBZUAI ·

NYU Abu Dhabi hosted a talk by Prof. Debdeep Mukhopadhyay on the intersection of machine learning and hardware security. The talk covered using ML/DL for side-channel attacks, leakage assessment in crypto-devices, and threats to hardware security primitives. Prof. Mukhopadhyay is a visiting professor at NYU Abu Dhabi and Institute Chair Professor at IIT Kharagpur. Why it matters: The talk highlights the growing importance of hardware security in modern systems and the role of machine learning in both attacking and defending hardware vulnerabilities.

TII and NYU Abu Dhabi Partner to Advance Joint Research and Talent Development

TII ·

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.

User-Centric Gender Rewriting

MBZUAI ·

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.

Promising field of urban science highlighted at 2015 WEP keynote lecture

KAUST ·

Michael Holland from NYU's Center for Urban Science & Progress (CUSP) presented a keynote lecture at KAUST's Winter Enrichment Program (WEP) 2015 on the importance of urban science. CUSP, launched in 2012, aims to make New York City a world capital of science and technology through multi-sector research and education. Holland emphasized how analyzing urban data can improve city government, planning, policy, and citizen engagement. Why it matters: As urbanization increases, the development of urban science and the effective use of urban data become crucial for sustainable and efficient city management in the GCC region and globally.

RLtools: Technology Innovation Institute and New York University Debut Novel Reinforcement Learning Library

TII ·

TII's Autonomous Robotics Research Center (ARRC) and NYU's Agile Robotics and Perception Lab have released RLtools, an open-source reinforcement learning library. RLtools achieves a 75x speed-up in training compared to existing libraries, enabling drone controller training on standard computers. It allows training on consumer-grade laptops or directly on microcontrollers, addressing resource efficiency and deployment challenges. Why it matters: This library accelerates the development and deployment of autonomous systems by reducing training time and resource requirements, making advanced AI more accessible.

Digital Privacy in Personalized Pricing and New Directions in Web3

MBZUAI ·

Xi Chen from NYU Stern gave a talk at MBZUAI on digital privacy in personalized pricing using differential privacy. The talk also covered research in Web3 and decentralized finance, including delta hedging liquidity positions on Uniswap V3. Chen highlighted open problems in decentralized finance during the presentation. Why it matters: The talk suggests MBZUAI's interest in exploring the intersection of AI, privacy, and blockchain technologies, reflecting growing trends in data protection and decentralized systems.

NYUAD and MBZUAI co-host EMNLP

MBZUAI ·

NYUAD and MBZUAI co-hosted the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP) in Abu Dhabi from December 7-11. EMNLP is a top-tier NLP and AI conference organized by the ACL special interest group on linguistic data (SIGDAT). MBZUAI's Natural Language Processing Department is actively developing NLP datasets and methods to solve social problems. Why it matters: Hosting EMNLP in the UAE highlights the growing importance of NLP research in the region and the increasing contributions of local institutions like MBZUAI to the field.