While this reality has become more tangible in recent years through consumer technology, such as Amazon's Alexa or Apple's Siri, the applications of AI software are already widespread, ranging from credit card fraud detection at VISA to payload scheduling operations at NASA to insider trading surveillance on the NASDAQ. Broadly defined as the imitation of human cognition by a machine, recent interest in AI has been driven by advances in machine learning, in which computer algorithms learn from data without human direction.1 Most sophisticated processes that involve some form of prediction generated from a large data set use this type of AI, including image recognition, web-search, speech-to-text language processing, and e-commerce product recommendations.2 AI is increasingly incorporated into devices that consumers keep with them at all times, such as smartphones, and powers consumer technologies on the horizon, such as self-driving cars. And there is anticipation that these advances will continue to accelerate: a recent survey of leading AI researchers predicted that, within the next 10 years, AI will outperform humans in transcribing speech, translating languages, and driving a truck.3
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?
Technology is a transformative force, and there is currently no technology more transformative than AI. Because AI encompasses so many different fields -- from robotics to deep learning to self-driving cars -- it can be hard to quantify the exact impact it has had on the economy and on individual industries. Whether you're heavily involved within the industry or an outside observer, by examining the different use cases and successes (or failures) that AI has been a part of, you can gain a better understanding of how to implement AI within your own organization, and how to generate the most value from it. Given the lucrative opportunities available, it is unsurprising that both established players in the health care industry (i.e., hospitals, pharmaceutical companies, insurers, etc.) and startups are looking to utilize AI to maximize their impact. A 2018 report revealed that health care-focused AI startups alone have raised $4.3 billion since 2013, more than startups in any other industry.
CES 2020, the world's largest consumer electronics show kicks off on January 7 and runs through to January 10 in Las Vegas. As usual, the world leaders in the development of home, leisure, sports, and travel technology will use the occasion to show off their latest gadgets, gizmos, and devices. Amongst keynote announcements from the likes of Amazon, LG, and Toyota, as well as thousands of other exhibitors, the first CES of the 2020s will offer a glimpse into how we will be spending our spare and leisure time over the next decade. Trends which will be at the forefront are intelligent vehicles, health and fitness technology, 5G networks as well as anything involving data and analytics. Here's my rundown of some of the most interesting, exciting, or innovative products and services that you can expect to see at the show.