Now the think tank behind the report has published an updated analysis, showing how the makeup of global AI talent has changed since--during a critical period when the industry has shifted significantly and become the hottest technology sector. The team at MacroPolo, a think tank that focuses on US-China relations, studied the national origin, educational background, and current work affiliation of top researchers who gave presentations and had papers accepted at NeurIPS, a top academic conference on AI. Their analysis of the 2019 conference resulted in the first iteration of the Global AI Talent Tracker. They've analyzed the December 2022 NeurIPS conference for an update three years later. I recommend you read the original report, which has a very well-designed infographic that shows the talent flow across countries.

A'Quantum Apocalypse' could tear open everything from internet banking to government secrets -- and experts warn it's just years away. This fear was thrown into focus earlier this year when an academic paper by Chinese researchers suggested that a quantum computer (a new technology under development by Google and IBM, among others) could break the encryption which keeps us safe online. Tim Callan, a chief experience officer at cybersecurity company Sectigo, warned DailyMail.com The warning comes soon after researchers at the University of Chicago revealed they were working on an unhackable quantum internet. Currently, computers use a system called public key encryption to protect information -- such as someone sending you a digital message. In this your device -- such as a mobile phone -- has two keys, a public key and a private key.

In recent years, the machine learning research landscape has been reshaped by the growth of Chinese AI research. China now consistently stands as the second-largest country in terms of total publications at NeurIPS, after the United States. In 2020, papers from Chinese institutions represented 13.6% of all NeurIPS publications [6]. The following year, this share increased to 17.5%, representing a relative increase of 28.7% [13].

This is the third in a series of posts about how international competition could reshape the U.S. economy. As you might expect from the picture at the top of this post, I'm a little ambivalent when it comes to breathless reports that America is falling behind its rivals technologically. That picture is from the movie Dr. Strangelove, which (among other things) lampooned America's Cold War obsession with the "missile gap". On one hand, in a geopolitical contest such as the one we now find ourselves in with Russia and China, we need to prioritize which battles to concentrate resources on -- a point made very convincingly by Hal Brands and Michael Beckley's new book Danger Zone. But on the other hand, our obsession with the "missile gap" gave us the space race and the moon landings and all the technological spinoffs from those, plus a boost to our semiconductor industry.

BEIJING: China is emerging as a pioneer in artificial intelligence (AI) as it makes strides in filing AI patents and experimenting with the latest AI technologies to power industrial applications, industry experts said. Their comments came after a Stanford University report shows that China filed more than half of all global AI patent applications last year, and Chinese researchers produced about one-third of AI journal papers and AI citations in 2021. Wu Hequan, an academician at the Chinese Academy of Engineering, said China has been working to build a solid foundation to support its AI economy and is making big contributions to AI globally. The Stanford University report said that Chinese researchers have been the most prolific for several years, publishing 27.5% of all AI journal articles worldwide. In comparison, US researchers accounted for 12%.

Officially it is just a research vessel, but China's newly unveiled drone carrier is a clear sign Beijing is rushing to deploy an autonomous swarm of unmanned devices in its push for military supremacy in the Pacific Ocean. State media last month showed the launching of the Zhu Hai Yun -- "Zhu Hai Cloud" -- capable of transporting an unspecified number of flying drones as well as surface and submarine craft, and operating autonomously thanks to artificial intelligence. The 89-metre (292-foot) ship would be operational by year-end with a top speed of 18 knots, vastly increasing China's surveillance potential of the vast Pacific area it considers its zone of influence. "The vessel is not only an unprecedented precision tool at the frontier of marine science, but also a platform for marine disaster prevention and mitigation, seabed precision mapping, marine environment monitoring, and maritime search and rescue," Chen Dake, lab director at the firm that built the carrier, told China Daily. Armies worldwide see drone squadrons as key players in combat, able to overwhelm defence systems by sheer numbers and without putting soldiers' lives at risk, such as with more expensive jets or tanks.

AI systems are becoming increasingly larger and complex, but despite the technology's progress, they exhibit higher levels of toxic behaviors, according to the latest AI Index Report. The 2022 report, the development of which was led by Stanford University's Institute for Human-Centered AI, analyses how machine learning affects research and development, economies, and policy-making across the world. One trend highlighted by the study, now in its fifth year, that will probably remain in vogue for the foreseeable future, is that neural networks are getting bigger. There are now language models with hundreds of billions and even trillions of parameters trained on terabytes of text scraped from the internet. These massive systems can complete all sorts of tasks, from generating content to helping developers code, to a degree. They have become more powerful and potentially more harmful.

I am regularly asked to summarize my many posts. I thought it would be a good idea to publish on this blog, every Monday, some of the most relevant articles that I have already shared with you on my social networks. Today I will share some of the most relevant articles about Artificial Intelligence and in what form you can find it in today's life. I will also comment on the articles. Forget about the danger of robots creating a sci-fi-style dystopia.

You're wearing a mask, as encouraged by the Centers for Disease Control and Prevention and possibly by your local government during this coronavirus outbreak, and you want to use FaceID to open your iPhone or Android phone. Yes, says a Chinese researcher from Tencent's Xuanwu lab. But according to Apple, this is frowned upon big time and could affect the integrity of your phone. There are several hacks available online, and most will send the user to reregister for FaceID on the iPhone by covering the left and right side of their face separately. After the researcher from Tencent originally demonstrated and popularized this setup, many others copied and tweaked with videos on YouTube.

Qiang Yang, a professor at the Hong Kong University of Science and Technology, was looking forward to AAAI, one of the big artificial intelligence conferences, which takes place in New York this week. Yang was due to present an award-winning paper describing a way for an AI algorithm to perform image recognition by drawing from different datasets without ever revealing their contents. He decided to cancel his trip due to the global health emergency triggered by the coronavirus in China. Yang estimates that around 800 attendees from mainland China, about a fifth of the 4,000 registered for the conference, will miss the event due to a travel ban imposed by the US on Monday. "It's a big pity," Yang says via WeChat from his home in Hong Kong.