A new neural network architecture called Orchid was introduced that uses adaptive convolutions to achieve quasilinear computational complexity O(N logN) for sequence modeling. Orchid adapts its convolution kernel dynamically based on the input sequence. Evaluations across language modeling and image classification show that Orchid outperforms attention-based architectures like BERT and Vision Transformers, often with smaller model sizes. Why it matters: Orchid extends the feasible sequence length beyond the practical limits of dense attention layers, representing progress toward more efficient and scalable deep learning models.
The paper introduces ORCA, a new public benchmark for evaluating Arabic language understanding. ORCA covers diverse Arabic varieties and includes 60 datasets across seven NLU task clusters. The benchmark was used to compare 18 multilingual and Arabic language models and includes a public leaderboard with a unified evaluation metric. Why it matters: ORCA addresses the lack of a comprehensive Arabic benchmark, enabling better progress measurement for Arabic and multilingual language models.
Omantel has launched "O tech," a new entity focused on accelerating Oman's digital transformation. O tech aims to provide innovative solutions and services across various sectors. The initiative is part of Omantel's broader strategy to support Oman's Vision 2040. Why it matters: The launch signals a growing commitment to digital infrastructure and technological advancement within Oman, potentially fostering further innovation and economic diversification.
KAUST Discovery Professor Aranda's team has been researching coral adaptation to temperature and ocean acidification. The research is focused on the transgenerational aspect of this adaptation using controlled environments. The research has been ongoing for the past two years. Why it matters: Understanding the epigenetic mechanisms of climate resilience in corals is crucial for conservation efforts in the Red Sea and beyond.
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KAUST researchers have developed a green synthetic biology approach using engineered algae to replicate the complex fragrances of agarwood, also known as oudh. They catalogued the chemical diversity of sesquiterpenes (STPs) in 58 agarwood samples and reproduced some of the chemical complexity of agarwood STPs in algae using synthetic biology. The team used the green alga Chlamydomonas reinhardtii to produce nine distinct STP chemical products widely found in agarwood, offering a sustainable alternative to harvesting endangered trees. Why it matters: This research provides a sustainable route for producing sought-after fragrances, reducing pressure on endangered agarwood tree populations and promoting green chemistry in the region.
KAUST held an international research conference on environmental epigenetics in 2017. The conference included presentations by Professor Paolo Sassone-Corsi from the University of California, Irvine. Participants also included KAUST Professor Valerio Orlando, Emiliana Borrelli, Ueli Grossniklaus and Juan Carlos Belmonte. Why it matters: KAUST is positioning itself as a research hub for advanced bioscience.
KAUST and the Center for Epigenetics and Metabolism (CEM) at UC Irvine have formed a partnership to advance epigenetics research, focusing on the interplay between genes and metabolism. The collaboration involves researchers from both institutions, including Professors Valerio Orlando and Pierre J. Magistretti from KAUST, and Professors Paolo Sassone-Corsi and Emiliana Borrelli from UCI. The partnership will include an exchange program for students, post-doctoral fellows, and sabbatical professors, as well as joint KAUST-UC Irvine conferences. Why it matters: This partnership enhances KAUST's research capabilities in fundamental cellular processes and positions the institution at the forefront of epigenetics research in the region.