The EU's top AI experts say regulation should focus on high-risk applications. Europe needs rules to make sure artificial intelligence won't be used to build up a China-style high-tech surveillance state, the European Union's top AI experts warn. An expert panel is set to present to the bloc's leaders a list of 33 recommendations on how to move forward on AI governance Wednesday, including a stark warning against the use of AI to control and monitor citizens. In a 48-page final draft of the document, obtained by POLITICO, the experts urge policymakers to define "red lines" for high-risk AI applications -- such as systems to mass monitor individuals or rank them according to their behavior -- and discuss outlawing some controversial technology. "Ban AI-enabled mass-scale scoring of individuals," the expert group demands, adding that there needs to be "very clear and strict rules for surveillance for national security purposes and other purposes claimed to be in the public or national interest."
Considered as the 4th Industrial Revolution, Artificial Intelligence (AI) has become a reality in today's world, especially in the military. Experts and academicians have emphasized the importance of AI for a long time. Furthermore, world leaders, including Obama, Trump, Xi, and Putin, have all made important statements that bring to the fore the significance of AI which can be summarized with what Putin stated on September 2017: whoever becomes the leader in AI, will rule the world. This analysis provides a short introduction on what AI is, how it has evolved until today and how it will change the nature of warfare. It then assesses why states invest in AI to later turn to the case of the U.S. and China.
Technological advancement including artificial intelligence (AI) has sparked debate for people and governments in developed countries where democratic systems shape the operation of institutional systems. Specifically, such systems have been driven by established universal values such as respect for human rights, property and privacy rights, and democracy, including freedom of expression, and political participation. In these systems, the advancement of technology has been deployed to enhance the efficiency of governments in providing public services while undergoing public scrutiny and institutional oversight. For example, many cities in developed democratic countries ban the use of facial recognition technology as an instrument of security efforts. However, this may not be the case in developing countries in general and particularly in those undergoing long economic transitions without political liberalization, such as Vietnam and China.
HONG KONG - Entrepreneur Tony Verb is on a mission to promote technology that can help make cities greener and smarter in China's Greater Bay Area, now being shaped as a low-carbon megalopolis. Hong Kong-based Verb, co-founder of the investment firm GreaterBay Ventures & Advisors, plans to back urban tech businesses working on autonomous e-vehicles, flying taxis, artificial intelligence, robotics and clean energy. Verb is betting on China's master plan to develop the Pearl River Delta into a sustainable innovation hub, which he believes will serve as "a great case study" for the world's cities. In February, Beijing announced it would foster links between nine cities in Guangdong province and the special administrative regions of Hong Kong and Macao to forge the world's biggest urban area, with 70 million people. Under the Greater Bay Area (GBA) plan, each city has a different role, but the blueprint is centered on developing the delta in a high-tech way that also preserves its ecology.
Workers makes shoes at a factory in Jinjiang, in southeast China's Fujian province. Nearly all shoes sold in the U.S. are foreign-made. China's share has declined, but it's still a major source. Workers makes shoes at a factory in Jinjiang, in southeast China's Fujian province. Nearly all shoes sold in the U.S. are foreign-made.
Artificial Intelligence (AI) could help promote the development of material science and accelerate the invention of new materials, according to Chinese experts. Many key and core technologies that need breakthroughs in China are related to the material science, and AI could help in these areas, Zhao Zhongxian, an academician of the Chinese Academy of Sciences (CAS), who won China's top science award, said at a science forum opened in Dongguan, Guangdong Province, Monday. Traditional methods for material composition analysis are time-consuming and expensive. It takes an average of 10 years for a laboratory to develop new materials and 20 years for mass production. With AI technology, the development and application cycle of new materials is expected to be shortened by more than half.
Accelerating magnetic resonance imaging (MRI) has been an ongoing research topic since its invention in the 1970s. Among a variety of acceleration techniques, compressed sensing (CS) has become an important strategy during the past decades. Although CS-based methods can achieve high performance with many theoretical guarantees, it is challenging to determine the numerical uncertainties in the reconstruction model such as the optimal sparse transformations, sparse regularizer in the transform do-main, regularization parameters and the parameters of the optimization algorithm. Recently, deep learning has been introduced in MR reconstruction to address these issues and shown potential to significantly improve image quality.In this paper, we propose a general framework combining the CS-MR model with deep learning to maximize the potential of deep learning and model-based reconstruction for fast MR imaging and attempt to provide a guideline on how to improve the image quality with deep learning based on the traditional reconstruction algorithms.
Ed. note: Does pedophilia allow those involved with building A.I. technology to experiment with the very extremes in human emotions through pedophilia? While we are mesmerized by all this rapidly accelerating technology, what else is going on that might be of concern? Contributor I cover what entrepreneurs are looking to learn. Virtual gaming is about to warp through a black hole, thanks to a band of scientists in Hong Kong and a hedge funder with a zealous science background, called Jeffrey Epstein. Indeed, game programming is moving away from algorithmic robots to a twilight realm of emotional thinkers, taking online, video and toy entrepreneurs, one step closer to Star Trek's'Holodeck'. For years, in virtual gaming, the only intelligent player was the person playing the game, responding to non-reactive obstacles. At most, opponents could blow up or morph into something else.
In just four years, SenseTime went from being an academic project to become the world's most valuable artificial intelligence (AI) company with a current valuation of $4.5 billion. Based in China, the company has a portfolio of 700 clients and partners, including the Massachusetts Institute of Technology (MIT), Qualcomm, Honda, Alibaba, Weibo, and more. They use their proprietary artificial intelligence and machine vision technology to drive its success and "redefine human life as we know it." With the number of core technologies, products, and services SenseTime offers, it's hard to believe it's such a young company. Here are just a few ways SenseTime uses artificial intelligence to "power the future."
China's once scorching tech sector is cooling off. "Winter is coming," laughs Lin Liu, a 29-year-old Shanghai tech worker. Electric vehicles, industrial robots, and microchip production all slowed recently. Big firms like Alibaba, Tencent, and search engine Baidu have slashed jobs. Overall, one in five Chinese tech companies plans to cut recruitment, says jobs site Liepin.com.