Saudi KAUST Partners with Abdul Latif Jameel Motors, Toyota to Advance Zero-Carbon Fuel Cell Technologies

The collaboration aims to support the Kingdom's decarbonization efforts across the transportation sector and beyond, contributing to the national goal of achieving net-zero greenhouse gas (GHG) emissions by 2060. (SPA)
The collaboration aims to support the Kingdom's decarbonization efforts across the transportation sector and beyond, contributing to the national goal of achieving net-zero greenhouse gas (GHG) emissions by 2060. (SPA)
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Saudi KAUST Partners with Abdul Latif Jameel Motors, Toyota to Advance Zero-Carbon Fuel Cell Technologies

The collaboration aims to support the Kingdom's decarbonization efforts across the transportation sector and beyond, contributing to the national goal of achieving net-zero greenhouse gas (GHG) emissions by 2060. (SPA)
The collaboration aims to support the Kingdom's decarbonization efforts across the transportation sector and beyond, contributing to the national goal of achieving net-zero greenhouse gas (GHG) emissions by 2060. (SPA)

Saudi Arabia’s King Abdullah University of Science and Technology (KAUST), Abdul Latif Jameel Motors, and Toyota Motor Corporation (TMC) have embarked on a strategic partnership to advance hydrogen fuel cell research in Saudi Arabia.

The collaboration aims to support the Kingdom's decarbonization efforts across the transportation sector and beyond, contributing to the national goal of achieving net-zero greenhouse gas (GHG) emissions by 2060.

As a centerpiece of this partnership, KAUST has acquired Proton Electrolyte Membrane (PEM) fuel cell modules from TMC, establishing a state-of-the-art laboratory at KAUST under its Clean Energy Research Platform (CERP) dedicated to advancing this cutting-edge technology, reported the Saudi Press Agency on Tuesday.

The facility will be at the forefront of Saudi Arabia's efforts to lead in hydrogen innovation, particularly in tailoring fuel cells to the region's unique environmental conditions.

Professor Mani Sarathy, from KAUST's Physical Science and Engineering Division, said: “At KAUST, we are excited to collaborate with TMC and Abdul Latif Jameel Motors to drive the adoption of hydrogen fuel cell technology in Saudi Arabia, aligning with the Kingdom's Vision 2030 and net-zero goals for 2060.”

“Through our Clean Energy Research Platform (CERP), we are focused on advancing research that will optimize hydrogen fuel cells for the region's specific conditions, ensuring their efficiency and reliability. This partnership demonstrates our commitment to pioneering innovations that support sustainable solutions and contribute to a greener future for Saudi Arabia and beyond,” he said.

Sarathy and his team at CERP are currently leading research efforts to explore the performance, durability, and environmental integration of PEM fuel cells, supported technically and financially by TMC and Abdul Latif Jameel Motors.

The team is conducting a series of modeling and experimental studies to assess factors such as temperature sensitivity, humidity impact, and overall efficiency, with the goal of maximizing the environmental benefits of these fuel cells within the Kingdom's infrastructure.

Saudi Arabia, with its vast renewable energy resources, is well-positioned to produce both green hydrogen and blue hydrogen using Carbon Capture, Utilization, and Storage (CCUS) technology. With this in mind, the Kingdom aims to produce approximately 2.9 million tons of hydrogen by 2030, with competitive costs for both domestic use and export.



SDAIA Lists ALLaM 7B Arabic Language Model on Hugging Face

SDAIA Lists ALLaM 7B Arabic Language Model on Hugging Face
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SDAIA Lists ALLaM 7B Arabic Language Model on Hugging Face

SDAIA Lists ALLaM 7B Arabic Language Model on Hugging Face

The Saudi Data and Artificial Intelligence Authority (SDAIA) has disclosed the listing of the generative Arabic Large Language Model (ALLaM) —7 billion parameters category— on the Hugging Face platform. This platform, a prominent global open-source repository for natural language processing (NLP) resources, now hosts the nationally developed model, making it accessible to a global audience of developers and researchers for utilization in artificial intelligence applications.
SDAIA asserts that ALLaM is positioned as one of the preeminent generative language models for the Arabic language worldwide, SPA reported.
This initiative aligns with the strategic objectives of the Kingdom's Vision 2030, under the leadership of Prince Mohammed bin Salman bin Abdulaziz Al Saud, Crown Prince, Prime Minister and SDAIA Board of Directors Chairman, who supports SDAIA's mandate to strengthen the Kingdom's position as a global technology hub for artificial intelligence and digital innovation.
ALLaM is a large language model distinguished by its precision and efficacy in the comprehension and processing of Arabic. Its capabilities encompass text summarization, content generation, and other functionalities, positioning it as a tool for the development of smart applications. The model's training, conducted on an extensive and diverse Arabic language dataset, is cited as contributing to its performance across varied operational environments.
According to SDAIA, the availability of ALLaM on the Hugging Face platform is intended to facilitate access for the scientific and technical community, enabling the development of artificial intelligence-driven applications.
The listing on Hugging Face represents a phase in the model's ongoing development. ALLaM was initially integrated into IBM's Watsonx platform, which facilitated advanced Arabic language analysis and processing through artificial intelligence solutions. Subsequently, it was launched on Microsoft's Azure cloud platform, providing developers and enterprises access to advanced cloud computing environments.
During the LEAP25 conference, Qualcomm, in collaboration with the ALLaM development team, announced the model's availability on the Qualcomm AI Cloud. Additionally, the "ALLAM AI PC," a computer incorporating advanced artificial intelligence technologies designed to enhance user interaction with the Arabic language, was unveiled.