A new report sheds light on a shadowy industry where authoritarian states enthusiastically export surveillance technologies to repressive regimes around the world.
A Chinese company is selling its surveillance technology to Iran’s Revolutionary Guard, police, and military, according to a new report by IPVM, a surveillance research group. The firm, called Tiandy, is one of the world’s largest video surveillance companies, reporting almost $700 million in sales in 2020. The company sells cameras and accompanying AI-enabled software, including facial recognition technology, software that it claims can detect someone’s race, and “smart” interrogation tables for use alongside “tiger chairs,” which have been widely documented as a tool for torture.
The report is a rare look into some specifics of China’s strategic relationship with Iran and the ways in which the country disperses surveillance technology to other autocracies abroad. Read More
Daily Archives: December 16, 2021
Intel thinks the metaverse will need a thousand-fold increase in computing capability
Intel made its first statement on the metaverse on Tuesday — its first public acknowledgement of that sometimes-nebulous future of computing which promises an always connected virtual world that exists in parallel with our physical one. But while the chip company is bullish on the possibilities of the metaverse in abstract, Intel raises a key issue with realizing any metaverse ambitions: there’s not nearly enough processing power to go around.
The metaverse may be the next major platform in computing after the world wide web and mobile,” an editorial begins from Raja Koduri, a senior vice president and head of Intel’s Accelerated Computing Systems and Graphics Group. But Koduri quickly pours cold water on the idea that the metaverse is right around the corner: “our computing, storage and networking infrastructure today is simply not enough to enable this vision,” he writes. Crucially, Koduri doesn’t even think we’re close. He says that a 1,000x increase in power is needed over our current collective computing capacity. Read More
Language modelling at scale: Gopher, ethical considerations, and retrieval
Language, and its role in demonstrating and facilitating comprehension – or intelligence – is a fundamental part of being human. It gives people the ability to communicate thoughts and concepts, express ideas, create memories, and build mutual understanding. These are foundational parts of social intelligence. It’s why our teams at DeepMind study aspects of language processing and communication, both in artificial agents and in humans.
As part of a broader portfolio of AI research, we believe the development and study of more powerful language models – systems that predict and generate text – have tremendous potential for building advanced AI systems that can be used safely and efficiently to summarise information, provide expert advice and follow instructions via natural language. Developing beneficial language models requires research into their potential impacts, including the risks they pose. This includes collaboration between experts from varied backgrounds to thoughtfully anticipate and address the challenges that training algorithms on existing datasets can create.
Today we are releasing three papers on language models that reflect this interdisciplinary approach. They include a detailed study of a 280 billion parameter transformer language model called Gopher, a study of ethical and social risks associated with large language models, and a paper investigating a new architecture with better training efficiency. Read More
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