If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
I highly recommend reading the McKinsey Global Institute's new report, "Reskilling China: Transforming The World's Largest Workforce Into Lifelong Learners", which focuses on the country's biggest employment challenge, re-training its workforce and the adoption of practices such as lifelong learning to address the growing digital transformation of its productive fabric. How to transform the country that has become the factory of the world, where manual assembly was the cheapest due to its low labor costs, into an artificial intelligence giant, with the largest public blockchain infrastructure in the world, a digital currency in an advanced stage of development that will see an end to cash payments, along with the world's largest 5G network? Xi Jinping's state capitalism is transforming the Asian giant: the possibility of drawing up and maintaining long-term strategies thanks to political stability is driving change at an unprecedented rate, that includes autonomous driving and digital healthcare, advanced retail or even livestock farming. No matter where you look: the modernization and robotization of Chinese assembly factories has led to enormous reductions in the size of their workforces, which, moreover, immediately correspond not only to an increase in their production capacity, but also to a drastic reduction in the number of errors. And the COVID-19 pandemic, far from slowing the process, has accelerated it even further.
Inceptio Technology, a China-based developer of autonomous trucking technology, raised a $270 million Series B round of funding. Inceptio said the funding will allow it to accelerate the development of its full-stack autonomous driving system called "Xuanyuan" and speed up its deployment in electrification. Inceptio, which was founded in 2018, has raised approximately $490 million to date. It raised a $100 million Series A round in April 2020, followed by an additional $100 million in November 2020. The Series B round was led by JD Logistics, Meituan, and PAG.
The July 2021 issue of IEEE/CAA Journal of Automatica Sinica features six articles that showcase the potential of machine learning in its various forms. The applications described in the studies range from advanced driver assistance systems and computer vision to image processing and collaborative robotics. Automation of technology has reshaped both the way in which we work and how we tackle problems. Thanks to the progress made in robotics and artificial intelligence (AI) over the last few years, it is now possible to leave several tasks in the hands to machines and algorithms. To highlight these advances, the IEEE and the Chinese Association of Automation (CAA) decided to join forces, in the first issue of IEEE/CAA Journal of Automatica Sinica.
AutoX has launched the production of its latest "Gen5 system for fully driverless RoboTaxis". The AutoX Gen5 was launched at the Crowne Plaza Shanghai Anting recently when AutoX founder and CEO, Dr Jianxiong Xiao, unveiled the technology behind the Gen5 system. The Gen5 system has 50 sensors in total, as well as a vehicle control unit of 2,200 TOPS computing power. There are 28 cameras capturing a total of 220 million pixels per second, six high resolution LiDAR offering 15 million points per second, and 4D radar with 0.9-degree resolution encompassing 360 degrees around the vehicle. Using camera and LiDAR fusion perception blind spot modules, the Gen5 system "covers the entire RoboTaxi body with zero blind spots", according to AutoX.
EU policymakers recently proposed a sweeping set of regulations called the Artificial Intelligence Act (AIA). If made law, the AIA would offer European citizens the strictest, most comprehensive protections against predatory AI systems on the planet. And big tech is terrified. Up front: The Center for Data Innovation published a report on Sunday titled "How Much Will the AIA Cost Europe?" Attend the tech festival of the year and get your super early bird ticket now!
But Beijing has become alarmed at the growing power of Big Tech -- including the risk that personal information of senior officials could leak overseas -- and has moved this year to rein in China's Internet giants. This included derailing the IPO plans of mobile payment titan Ant Group, launching a probe into Didi Chuxing, the Chinese equivalent of Uber, and a ban on the country's lucrative online, for-profit tutoring services for students.
Europe is lagging behind not only the US and Japan, but also China in terms of technological innovation. The world's 15 largest digital firms are not European! It is beyond question that Europe produces bright minds with amazing ideas and an entrepreneurial mindset. The problem is very simple: European companies do not make it beyond the start-up phase and if they do, their business is believed to be better off out of Europe. Skype is one famous example that was bought up by Microsoft.
"We are probably in the second or third inning." Lo, a professor of finance at the MIT Sloan School of Management, and Ajay Agrawal of the University of Toronto's Rotman School of Management shared their perspective at the inaugural CFA Institute Alpha Summit in May. In a conversation moderated by Mary Childs, they focused on three principal concepts that they expect will shape the future of AI and big data. Lo said that applying machine learning to such areas as consumer credit risk management was certainly the first inning. But the industry is now trying to use machine learning tools to better understand human behavior.
In May 2020, with technical support from the UN FAO, China Agricultural University and Chinese e-commerce platform Pinduoduo hosted a "smart agriculture competition". Three teams of top strawberry growers – the Traditional teams – and four teams of scientific AI experts – the Technology teams – took part in a strawberry-growing competition in the province of Yunnan, China, billed as an agricultural version of the historical match between a human Go player and Google's DeepMind AI. At the beginning, the Traditional teams were expected to draw best practices from their collective planting and agricultural experience. And they did – for a while. They led in efficient production for a few months before the Technology teams gradually caught up, employing internet-enabled devices (such as intelligent sensors), data analysis and fully digital greenhouse automation.