Core42, an Abu Dhabi-based technology company and part of G42, has significantly expanded its data center capacity in the United States. The company more than tripled its US data center footprint, reaching a total capacity of 60 megawatts (MW). This expansion is aimed at meeting the increasing demand for high-performance computing essential for complex artificial intelligence workloads. Why it matters: This strategic infrastructure investment reinforces Core42's global capabilities, enabling greater scale for AI development and deployment, which is critical for supporting advanced AI models and services.
Saudi Arabia has launched the Hexagon Data Center in Riyadh, a new facility boasting a substantial capacity of 480 megawatts. This major infrastructure project aims to significantly enhance the kingdom's digital capabilities. The center is designed to support the growing demands for data processing and storage within the region. Why it matters: This launch represents a critical investment in foundational digital infrastructure, essential for enabling advanced AI development, cloud computing services, and broader digital transformation initiatives across the Middle East.
MBZUAI researchers introduce LLMVoX, a 30M-parameter, LLM-agnostic, autoregressive streaming text-to-speech (TTS) system that generates high-quality speech with low latency. The system preserves the capabilities of the base LLM and achieves a lower Word Error Rate compared to speech-enabled LLMs. LLMVoX supports seamless, infinite-length dialogues and generalizes to new languages with dataset adaptation, including Arabic.
Qatar Computing Research Institute (QCRI) has developed NatiQ, an end-to-end text-to-speech (TTS) system for Arabic utilizing encoder-decoder architectures. The system employs Tacotron-based models and Transformer models to generate mel-spectrograms, which are then synthesized into waveforms using vocoders like WaveRNN, WaveGlow, and Parallel WaveGAN. Trained on in-house speech data featuring a neutral male voice (Hamza) and an expressive female voice (Amina), NatiQ achieves a Mean Opinion Score (MOS) of 4.21 and 4.40, respectively. Why it matters: This research advances Arabic language technology, providing high-quality TTS synthesis that can enhance accessibility and usability of digital content for Arabic speakers.
MBZUAI researchers are developing spiking neural networks (SNNs) to emulate the energy efficiency of the human brain. Traditional deep learning models like those powering ChatGPT consume significant energy, with a single query using 3.96 watts. SNNs aim to mimic biological neurons more closely to reduce energy consumption, as the human brain uses only a fraction of the energy compared to these models. Why it matters: This research could lead to more sustainable and energy-efficient AI technologies, addressing a major challenge in deploying large-scale AI systems.
SaudiVax, located in the KAUST Research & Technology Park, is collaborating with the University of Pittsburgh and Merck France to develop a COVID-19 antibody injection. The antibody both protects against potential infection and neutralizes the virus in those already infected. SaudiVax is utilizing KAUST expertise and has contracted with Merck France for manufacturing since suitable facilities are not yet available in Saudi Arabia. Why it matters: This partnership highlights the growing biopharmaceutical capabilities in Saudi Arabia and the potential for KAUST to serve as a hub for medical innovation in the region.
KAUST alumna Dina Bashir Abusamra, who received her master's degree in 2010 and Ph.D. in 2016 from KAUST, is now a postdoctoral research fellow at the Schepens Eye Research Institute of Massachusetts Eye and Ear, an affiliate of Harvard Medical School. Her early research at KAUST focused on understanding the mechanisms by which transplanted hematopoietic stem cells home back to bone marrow, specifically studying glycan-binding proteins like selectin. She now studies the role of glycan-binding proteins and galectins in microenvironment modulation. Why it matters: This highlights the impact of KAUST in fostering scientific talent and contributing to research in biomedical engineering and bioscience, with alumni now making contributions at leading international research institutions.
Researchers created a cross-cultural corpus of annotated verbal and nonverbal behaviors in receptionist interactions. The corpus includes native speakers of American English and Arabic role-playing scenarios at university reception desks in Doha, Qatar, and Pittsburgh, USA. The manually annotated nonverbal behaviors include gaze direction, hand gestures, torso positions, and facial expressions. Why it matters: This resource can be valuable for the human-robot interaction community, especially for building culturally aware AI systems.