US adds Chinese supercomputing entities to economic blacklist – Security

The US Commerce Division said Thursday it was incorporating seven Chinese supercomputing entities to a US financial blacklist for helping Chinese military services initiatives.

The section is incorporating Tianjin Phytium Info Know-how, Shanghai Superior-Overall performance Integrated Circuit Layout Middle, Sunway Microelectronics, the Countrywide Supercomputing Middle Jinan, the Countrywide Supercomputing Middle Shenzhen, the Countrywide Supercomputing Middle Wuxi, and the Countrywide Supercomputing Middle Zhengzhou to its blacklist.

The Commerce Division said the seven had been “involved with making supercomputers employed by China’s military services actors, its destabilising military services modernization initiatives, and/or weapons of mass destruction programs.”

The Chinese Embassy in Washington did not promptly reply to requests for remark.

“Supercomputing abilities are crucial for the improvement of several – probably pretty much all – modern-day weapons and nationwide protection programs, these as nuclear weapons and hypersonic weapons, commerce secretary Gina Raimondo said in a assertion.

Corporations or other folks shown on the US entity listing are expected to use for licences from the Commerce Division that deal with challenging scrutiny when they look for authorization to obtain products from US suppliers.

The new procedures choose result promptly but do not use to items from US suppliers currently en route.

During the administration of previous US President Donald Trump, the US added dozens of Chinese companies to its financial blacklist, such as the country’s leading smartphone maker Huawei, leading chipmaker SMIC and the greatest drone company, DJI.

Rosa G. Rose

Next Post

Research targets faster, safer source of islet cells for people with Type 1 diabetes

Sat Apr 10 , 2021
College of Alberta researchers are harnessing the energy of synthetic intelligence to discover a safer, extra individualized supply of islet cells to deal with Kind one diabetic issues. The investigation project, a collaboration between the departments of surgery and computing science, aims to use AI to review visuals to pace up the approach […]