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KAUST launches corporate innovation program

KAUST ·

KAUST has launched REVelate, a corporate innovation program aimed at mid and senior management of Saudi-based companies. The four-month program includes lectures, workshops, and mentoring to develop projects important to the participating companies. It is designed to foster an 'intrapreneurship' culture and enhance the innovation capacity of KAUST industry partners. Why it matters: This initiative addresses a critical need for corporate innovation methodologies in Saudi Arabia, potentially boosting the performance and competitiveness of local companies.

KAUST expands REVelate program for Saudi organizations

KAUST ·

KAUST is expanding its REVelate corporate innovation workshop into a larger "Innovation Academy" program. The program targets Saudi-based companies, nonprofits, and government organizations. It aims to develop novel processes, design thinking, and intrapreneurship to benefit their missions and support the Kingdom's knowledge economy. Why it matters: The expansion signals KAUST's growing role in fostering innovation and entrepreneurship within Saudi Arabia's corporate and public sectors.

A shock to the system

KAUST ·

KAUST Professor Hernando Ombao is leading the Biostatistics Group to develop statistical models for projecting hospitalization surges during the COVID-19 pandemic. The group uses techniques like time series analysis and stationary subspace analysis to understand complex biological processes. The models aim to provide public health officials with accurate hospitalization estimates under varying scenarios. Why it matters: This research contributes to preparedness and resource allocation in healthcare systems during public health crises, with potential applications beyond COVID-19.

Duarte on COVID-19 ecosystem rebound

KAUST ·

KAUST Professor Carlos Duarte presented a lecture on the rebound of global ecosystems following decreased human activity during the COVID-19 pandemic. Duarte, a member of the Rapid Research Response Team (R3T), discussed evidence indicating the environment's capacity for recovery. He related these findings to the potential for positive change in addressing climate change. Why it matters: The lecture highlights KAUST's contribution to understanding the impact of human activity on ecosystems and potential solutions to climate change.

SectEval: Evaluating the Latent Sectarian Preferences of Large Language Models

arXiv ·

The paper introduces SectEval, a new benchmark to evaluate sectarian biases in LLMs concerning Sunni and Shia Islam, available in English and Hindi. Results show significant inconsistencies in LLM responses based on language, with some models favoring Shia responses in English but Sunni in Hindi. Location-based experiments further reveal that advanced models adapt their responses based on the user's claimed country, while smaller models exhibit a consistent Sunni-leaning bias.

Scalable Community Detection in Massive Networks Using Aggregated Relational Data

MBZUAI ·

A new mini-batch strategy using aggregated relational data is proposed to fit the mixed membership stochastic blockmodel (MMSB) to large networks. The method uses nodal information and stochastic gradients of bipartite graphs for scalable inference. The approach was applied to a citation network with over two million nodes and 25 million edges, capturing explainable structure. Why it matters: This research enables more efficient community detection in massive networks, which is crucial for analyzing complex relationships in various domains, but this article has no clear connection to the Middle East.

Unlocking coronavirus' secrets through cellphone data and social media

KAUST ·

A KAUST research team is using cellphone mobility data, Google searches, and social media to model and predict COVID-19 spread. The models aim to forecast cases in the coming weeks and inform resource allocation, including hospital beds and medical staff. The team is using aggregated and anonymized data from cellphone companies to respect people's privacy. Why it matters: Integrating real-time digital data with epidemiological modeling can improve the speed and effectiveness of public health responses in the region and globally.

Technology Innovation Institute (TII) Unveils Manarat: Advancing the Path Toward Scalable Quantum Computers

TII ·

The Technology Innovation Institute (TII) in Abu Dhabi has launched Manarat, a custom-developed control electronics platform for quantum computing. Manarat can control 10 qubits with high accuracy and synchronizes multiple electronic boards with accuracy exceeding 100 picoseconds. TII claims Manarat is five times more cost-efficient than commercial alternatives. Why it matters: This development marks a step toward large-scale quantum computing in the UAE and establishes sovereign capabilities in quantum technologies.