University of Toronto graduate student Avishek "Joey" Bose, under the supervision of associate professor Parham Aarabi in the school's department of electrical and computer engineering, has created an algorithm that dynamically disrupts facial recognition systems. The project has privacy-related and even safety-related implications for systems that use so-called machine learning -- and for all of us whose data may be used in ways we don't realize. Major companies such as Amazon, Google, Facebook and Netflix are today leveraging machine learning. Financial trading firms and health care companies are using it, too -- as are smart car manufacturers. What is machine learning, anyway?
Blade Runner came out in 1982 and made some dazzling predictions for what the world of 2019 would look like. Unless your last name is Kurzweil, it's tough to forecast more than thirty years of technological advancement. Do you have a sense what the city of 2030 will look like? Consumer expectations don't always align with reality, but they can serve as important markers of market preparedness for new technologies. A glimpse into the future of money: Spain's banking revolution shows what's next for your cash In Spain, where smartphone use is the norm and peer-to-peer lending is taking off, banks' shift from payment processors to financial services advisors is particularly noticeable.
Washington (AFP) - Are robots coming for your job? Although technology has long affected the labor force, recent advances in artificial intelligence and robotics are heightening concerns about automation replacing a growing number of occupations, including highly skilled or "knowledge-based" jobs. Just a few examples: self-driving technology may eliminate the need for taxi, Uber and truck drivers, algorithms are playing a growing role in journalism, robots are informing consumers as mall greeters, and medicine is adapting robotic surgery and artificial intelligence to detect cancer and heart conditions. Of 700 occupations in the United States, 47 percent are at "high risk" from automation, an Oxford University study concluded in 2013. A McKinsey study released this year offered a similar view, saying "about half" of activities in the world's workforce "could potentially be automated by adapting currently demonstrated technologies."
China is one of the foremost nations embracing a fully connected society. In many major Chinese cities, sensor-filled machines that accept digital payments and support public data-collection are commonplace. Such technologies are found in supermarkets, malls, and even on sidewalks -- Chinese panhandlers have notably used the WeChat platform to collect donations from passersby. Already, China's mobile payments market is nearly 50 times that of the U.S.'s. China represents a significant investment opportunity for breakthrough innovations in digital industries.