Saudi Research Institutes Achieve Record-Breaking Performance in Data Security 

Saudi Research Institutes Achieve Record-Breaking Performance in Data Security 
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Saudi Research Institutes Achieve Record-Breaking Performance in Data Security 

Saudi Research Institutes Achieve Record-Breaking Performance in Data Security 

A joint team of researchers led by scientists at Saudi Arabia’s King Abdullah University of Science and Technology (KAUST) and King Abdulaziz City for Science and Technology (KACST) reported the fastest quantum random number generator (QRNG) to date based on international benchmarks.

The QRNG, which passed the required randomness tests of the National Institute of Standards and Technology, could produce random numbers at a rate nearly a thousand times faster than other QRNG, said KAUST in a statement on Tuesday.

“This is a significant leap for any industry that depends on strong data security,” said KAUST Professor Boon Ooi, who led the study, published in Optics Express.

According to the statement, random number generators are critical for industries that depend on security, such as health, finance, and defense. But the random number generators currently used are vulnerable because of an intrinsic flaw in their design.

“Most random number generators are ‘pseudo random number generators.’ In other words, they seem random, but in reality, they are complicated algorithms that can be solved. QRNGs do not suffer from this concern,” explained Ooi.

The reason is that QRNG use the principles of quantum mechanics to produce a truly unpredictable random number. The high random number generation rate reported in the new study was the result of innovations made by the scientists in the fabrication and the post-processing algorithms of the device.

The QRNG was constructed using micro-LEDs (light emitting diodes) less than a few micrometers in size, which reduces their energy demands and suggests the QRNG are portable, expanding the types of applications.

“KACST, in its capacity as the national laboratory, is committed to advancing applied research that directly supports the objectives of Saudi Arabia’s Vision 2030, particularly in establishing global leadership across strategic sectors, including quantum-enabled innovations,” said study contributor, Microelectronics and Semiconductors Institute researcher, and KACST Center of Excellence for Solid-State Lighting director Dr. Abdullah Almogbel.

“Undertaking such research initiatives is expected to generate substantial value for a wide range of industries and further solidify their global standing,” he added.

The National Institute of Standards and Technology is recognized internationally for providing benchmarks to ascertain the quality of randomness.



Huawei Shows off AI Computing System to Rival Nvidia’s Top Product

An AI (Artificial Intelligence) sign is seen at the World Artificial Intelligence Conference (WAIC) in Shanghai, China July 6, 2023. (Reuters)
An AI (Artificial Intelligence) sign is seen at the World Artificial Intelligence Conference (WAIC) in Shanghai, China July 6, 2023. (Reuters)
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Huawei Shows off AI Computing System to Rival Nvidia’s Top Product

An AI (Artificial Intelligence) sign is seen at the World Artificial Intelligence Conference (WAIC) in Shanghai, China July 6, 2023. (Reuters)
An AI (Artificial Intelligence) sign is seen at the World Artificial Intelligence Conference (WAIC) in Shanghai, China July 6, 2023. (Reuters)

China's Huawei Technologies showed off an AI computing system on Saturday that one industry expert has said rivals Nvidia's most advanced offering, as the Chinese technology giant seeks to capture market share in the country's growing artificial intelligence sector.

The CloudMatrix 384 system made its first public debut at the World Artificial Intelligence Conference (WAIC), a three-day event in Shanghai where companies showcase their latest AI innovations, drawing a large crowd to the company's booth.

The system has drawn close attention from the global AI community since Huawei first announced it in April. Industry analysts view it as a direct competitor to Nvidia's GB200 NVL72, the US chipmaker's most advanced system-level product currently available in the market.

Dylan Patel, founder of semiconductor research group SemiAnalysis, said in an April article that Huawei now had AI system capabilities that could beat Nvidia.

Huawei staff at its WAIC booth declined to comment when asked to introduce the CloudMatrix 384 system. A spokesperson for Huawei did not respond to questions.

Huawei has become widely regarded as China's most promising domestic supplier of chips essential for AI development, even though the company faces US export restrictions.

Nvidia CEO Jensen Huang told Bloomberg in May that Huawei had been "moving quite fast" and named the CloudMatrix as an example.

The CloudMatrix 384 incorporates 384 of Huawei's latest 910C chips and outperforms Nvidia's GB200 NVL72 on some metrics, which uses 72 B200 chips, according to SemiAnalysis.

The performance stems from Huawei's system design capabilities, which compensate for weaker individual chip performance through the use of more chips and system-level innovations, SemiAnalysis said.

Huawei says the system uses "supernode" architecture that allows the chips to interconnect at super-high speeds and in June, Huawei Cloud CEO Zhang Pingan said the CloudMatrix 384 system was operational on Huawei's cloud platform.