Big data, the Internet of Things, and artificial intelligence hold such disruptive power that they have inverted the dynamics of technology leadership. When science and technology meet social and economic systems, you tend to see something akin to what the late Stephen Jay Gould called "punctuated equilibrium" in his description of evolutionary biology. Something that has been stable for a long period is suddenly disrupted radically--and then settles into a new equilibrium.1 1.See Stephen Jay Gould, Punctuated Equilibrium, Cambridge, MA: Harvard University Press, 2007. Gould pointed out that fossil records show that species change does not advance gradually but often massively and disruptively. After the mass extinctions that have occurred several times across evolutionary eras, a minority of species survived and the voids in the ecosystem rapidly filled with massive speciation.
Companies across Canada might be jumping at the opportunity to integrate AI into their products and services, but their customers might not be ready for that new world, a study reveals. Sklar Wilton and Associates compiled its study based a survey of 1,001 Canadians over the age of 18. Canadians are the most comfortable using AI for menial tasks like controlling their house temperature (73%) or scheduling appointments (70%). Fewer, but still a majority, are comfortable with AI controlling their utilities and appliances (59%), giving them shopping and eating recommendations (59%) and financial advice (56%). Canadians get less comfortable in areas directly affecting their personal lives and well-being, such as diagnosing medical conditions without doctor involvement (43%) and piloting autonomous vehicles (39%). The comfort level also varies depending on how involved an AI becomes in a given task.
The next time you tweet while on a Vancouver TransLink bus or train, Saeid Allahdadian might be taking notes about that post. This postdoctoral researcher at the University of British Columbia is using AI technologies and social media data to map major travel routes. The goal is to identify areas in need of better transit service. During three weeks this summer, Allahdadian analyzed 30,000 public geotagged tweets posted by 3,440 different individuals around Metro Vancouver and Surrey. The tweets were filtered based on if they were geotagged with a location, if they were publicly available, or if they mentioned @TransLink.
"Just as 100 years ago electricity transformed industry after industry, AI will now do the same." Artificial Intelligence – it's on the lips of the leaders, and on the 2018 agendas of the board meetings, of almost every global company today. Directors and operating executives alike know, or think they know, that this "new electricity" is going to be the next transformative force of our world. To ignore it now could be fatal to their long-term competitive position, not to mention survival. AI-powered companies that know what they are doing -- primarily born in the Internet and mobile eras – have not only gained tremendous advantage in improved efficiency and increased profitability, they have literally changed the competitive landscape of successive industries.
WASHINGTON – A recreational drone operator was at fault in the first confirmed midair collision in the U.S. between a drone and a manned aircraft, the National Transportation Safety Board said Thursday The operator was unaware the Federal Aviation Administration had temporarily banned drone flights in New York when his small drone collided with an Army Blackhawk helicopter on Sept. 21, the board said in a report on the incident. The U.N. General Assembly was meeting in New York at the time. The helicopter suffered minor damage while the DJI Phantom 4 drone was destroyed, the report said. The operator flew the drone 2.5 miles away despite a long-standing FAA prohibition on drone flights beyond the sight of an operator, the report said. The operator saw the helicopter on the tablet he was using to direct the drone and tried to move the drone out of the way, but it was too late to avoid the collision, the report said.
Remember back when you could fly drones without having to pay the government money first, and when the only thing you had to worry about was a midair takedown by an anti-drone hit squad made up of highly-trained Dutch eagles? We're sad to have to report that we probably won't be seeing compelling videos of eagles handling rogue drones anymore, and also that the United States government has flexed its muscles and mandatory drone registration is now back on. You probably remember how the FAA finalized its mandatory drone registration rules just in time for the holiday season in 2015. Any drone that weighed more than 0.55 pounds was required to be registered before being flown outdoors, a process that involved providing your complete name, physical address, mailing address, email address, and a credit card that was charged a one-time fee of US $5. In exchange, you got a unique registration number that had to be visible on all of your drones.
Artificial Intelligence (AI) is starting to change how many businesses operate. The ability to accurately process and deliver data faster than any human could is already transforming how we do everything from studying diseases and understanding road traffic behaviour to managing finances and predicting weather patterns. For business leaders, AI's potential could be fundamental for future growth. With so much on offer and at stake, the question is no longer simply what AI is capable of, but where AI can best be used to deliver immediate business benefits. According to Forrester, 70% of enterprises will be implementing AI in some way over the next year.
Google has officially opened an artificial intelligence (AI) center in Beijing, the capital of China. The country is home to some of the most renowned thinkers in the field of AI, so it makes sense that one of the largest tech companies in the world would want to set up shop where much of the action is. In a blog post, Fei-Fei Li, Google's chief scientist for AI and machine learning, explained "Chinese authors contributed 43 percent of all content in the top 100 AI journals in 2015--and when the Association for the Advancement of AI discovered that their annual meeting overlapped with Chinese New Year this year, they rescheduled." This shows just how valuable China is to the AI community. Google's China team will be headed by Li, who came to Google after serving as the director of Stanford University's Artificial Intelligence Lab.
Automobile companies and technology firms are racing to deploy autonomous vehicles (AVs). But they could face one key obstacle: consumer distrust of the technology. Unnerved by the idea of not being in control--and by news of semi-AVs that have crashed, in one case killing the owner--many consumers are apprehensive. In a recent survey by AAA, for example, 78% of respondents said they were afraid to ride in an AV. Such numbers are a warning sign to firms hoping to sell millions of AVs, says Jack Weast, chief systems architect of Intel's autonomous driving group in Phoenix.
While developers amass data on the sensors and algorithms that allow cars to drive themselves, research on the social, economic, and environmental impacts of autonomous vehicles (AVs) is sparse. Truly autonomous driving is still decades away, according to most transportation experts. And because it's hard to study something that doesn't yet exist, the void has been filled by speculation that offers either a utopian view of the societal benefits of the new technology or a dystopian view of its hazards. Fortunately, a handful of cleverly designed experiments have given scientists insights into how AVs could change how we live, work, and play.