Until now, only billionaires, world leaders, and James Bond villains flew to work, but someday soon, you too may have a faster commute: many companies around the world are hard at work on electric vertical takeoff and landing (eVTOL) aircraft, essentially super-sized drones designed to whisk two to four people from one side of a […]
Few people outside China will have heard of Bytedance, the Beijing-based software startup that creates fiendishly addictive content apps using world-leading artificial intelligence technology. However, more than 200 million people in China—or over one in four of the country’s mobile users—use Bytedance’s products every day, and now the company has ambitions to hook the rest of the world on its apps too. Huge traffic brings customized contents to Bytedance users, which is the magic code for its success. But copyright lawsuits and competition from the BAT companies are just two of the challenges Bytedance faces.
Google Home and Amazon’s Alexa have been catching on very quickly. Google reports that it sells a voice-controlled speaker every second. While this could just be a fad, some analysts argue that the voice-activated speakers may mark the biggest shift in consumer technology since the smartphone. “Humans don’t really communicate that effectively using text,” says Richard Watson, a futurist in London. Vocal computing should speed up a lot of queries, given that most people can speak much faster than they can type. What has voice-control changed? What are the new opportunities vocal computing will offer?
What does it mean to have a mind? What is the nature of intelligence? Such questions have motivated Brian Christian, a computer scientist who holds a philosophy degree. He has been studying the gaps and overlaps between humans and machines, and investigated dehumanized communication as a result of increasing machine interactions in his bestseller The Most Human Human. In his second book, Algorithms to Live By, co-authored with cognitive scientist Tom Griffiths, he says that computer science actually gives us a way of thinking in new terms about what it means to be rational.
Back in 2014, Stephen Hawking warned that people should be careful about artificial intelligence (AI)—the full development of it could spell the end of the human race, he said. Brad Nelson, professor of robotics and intelligent systems at ETH Zürich, is optimistic about the technology’s development. To him, machines and robotics are augmenting instead of replacing the human workforce. In this interview with CKGSB Knowledge, Nelson talks about the state of AI so far, China’s advantages in this industry and, as an engineer, his insights into the relation between humans and machines.
Silicon Valley may hog the artificial intelligence (AI) limelight, but Chinese companies are catching up by implementing AI technologies in real life. According to a McKinsey Global Institute research report, China is one of the leading global hubs of AI development and its advantages include the vast population and a diverse industry mix that has the potential to generate huge volumes of the data needed to feed AI systems. That population not only provides an enormous market for AI-related products, but also, with the large number of internet users, about 731 million, China generates more data than most other countries—a key to AI innovation.
The fourth industrial revolution (4IR) is “a fusion of technologies” that blurs the lines “between the physical, digital, and biological spheres,” according to Klaus Schwab, the founder of the Davos Forum. This fusion of so many fields will ultimately see 4IR change the world far more fundamentally than the first three industrial revolutions. Any analysis of the many technological breakthroughs that now define this new 4IR business world is incomplete at best if it misses the China factor. At the dawn of the 4IR era, China is much better positioned than in the past to seize the opportunities offered by an industrial transformation.
What will happen to humans when the robots take away our jobs? Martin Ford, author of Rise of the Robots, on the imminent threat to jobs and the capitalist system.
The networked organization has changed how business innovates—but will the new system last?
To stay relevant in the future, individuals need to learn much more quickly and differently. That entails a different kind of learning organization.