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Results for "Turing Award"

Turing award winner brings AI expertise to UAE

MBZUAI ·

Turing Award winner Raj Reddy spoke at the MBZUAI Executive Program. Reddy is a Professor of Computer Science and Robotics at Carnegie Mellon University (CMU) and has held leadership roles at CMU, AAAI, and IEEE. His research focuses on AI, human-computer interaction, and technology's societal impact. Why it matters: High-profile speakers at UAE AI programs can help attract talent and investment to the region.

MBZUAI’s Iryna Gurevych wins 2025 Royal Society Milner Award

MBZUAI ·

MBZUAI Adjunct Professor Iryna Gurevych has won the 2025 Royal Society Milner Award for her contributions to NLP and AI. The Milner Award recognizes outstanding European computer scientists and includes a bronze medal and a £5,000 honorarium. Gurevych's work focuses on processing big data with NLP tools, argument mining, and detecting misleading content. Why it matters: The award highlights MBZUAI's growing prominence in the international AI research landscape and Gurevych's work in making language models safer.

Zhang’s work stands the ‘test of time’

MBZUAI ·

MBZUAI Professor Kun Zhang received a Test of Time Award Honorable Mention at ICML 2022 for his 2012 paper “On causal and anticausal learning." The paper, co-authored with researchers from the Max-Planck Institute, is considered foundational for causal learning in machine learning. Zhang's work demonstrated the importance of causality for machine learning tasks, helping to shift views in the field. Why it matters: This award highlights the growing recognition of causal AI research and MBZUAI's role in advancing the field.

Cryptography Research Center’s Prof. Francisco Rodriguez-Henriquez and PhD candidate Jorge Chavez-Saab win one of the Best Paper Awards ahead of Asiacrypt 2022

TII ·

Cryptography Research Center's Prof. Francisco Rodriguez-Henriquez and PhD candidate Jorge Chavez-Saab won a Best Paper Award ahead of Asiacrypt 2022. Their paper, "SwiftEC: Shallue-van de Woestijne Indifferentiable Function to Elliptic Curves," was written in collaboration with Mehdi Tibouchi of NTT. The paper presents an improved variation of the Elligator Squared technique for representing points of arbitrary elliptic curves as close-to-uniform random strings. Why it matters: The award recognizes important cryptographic research from the UAE, contributing to the advancement of secure digital solutions.

MBZUAI and GenBio AI win UAE AI Award 2025 for their work to revolutionize drug discovery and biomedicine

MBZUAI ·

MBZUAI and GenBio AI have won the UAE AI Award 2025 in the AI Scientific Research category for their "Unified Protein Language Modeling Framework". The winning project enables AI to learn protein function, generate sequences, and predict 3D structures. The AI-driven simulation approach aims to accelerate drug development, reduce costs, and improve success rates. Why it matters: This award highlights the UAE's commitment to fostering AI innovation in biomedicine and drug discovery, positioning the region as a leader in AI-driven healthcare advancements.

Abu Dhabi’s Technology Innovation Institute and AI71 Honored with UAE AI Award for Emirati AI Solutions

TII ·

Technology Innovation Institute (TII) won the UAE AI Award for Emirati AI Solutions for its Falcon LLM series. AI71 also won for LAW71, an AI-powered legal solution, and RAZI71, an AI-powered healthcare solution. The award recognizes AI innovations made in the UAE that demonstrate innovation, AI ethics compliance, maturity, and scalability. Why it matters: The award highlights the UAE's commitment to developing local AI talent and solutions, particularly in open-source models, for global collaboration and positive transformation.

Professor Mérouane Debbah, co-authors receive 2022 IEEE TAOS TC Best GCSN Paper Award

TII ·

Professor Mérouane Debbah, Chief Researcher at AIDRC, and his co-authors received the 2022 IEEE TAOS TC Best GCSN Paper Award for their work on federated quantized neural networks. The paper, presented at IEEE ICC 2022, explores the tradeoff between energy, precision, and accuracy in these networks. The research proposes an optimal quantization level to minimize energy consumption during training, making it less prohibitive for mobile devices. Why it matters: The award recognizes work that reduces the carbon footprint of large-scale AI systems, a key challenge for sustainable AI deployment in the region and globally.