Artificial intelligence is helping us explore the universe, diagnose diseases, and program autonomous cars, among thousands of other use cases across dozens of industries, including, especially, marketing. Even amidst its tangible applications, AI is still in its infancy – through marketers believe that it's a significant game-changer… and many are doing something about it. A new decade is upon us – as the AI hype begins to dissipate and the proverbial clouds start to clear, which trends do retail marketers need to watch for in 2020? Whether you're looking to get started with AI, expand your results from it, or fine-tune existing use cases, we scoured the net, talked to experts, and did our own research to give you the top AI trends to keep in mind over the next year. Our 2017 research showed that 26% of marketers planned to implement RTM more than 12 months ahead – so, around now.
In December 2018, a man driving an authorized Uber vehicle picked up an intoxicated woman leaving a Christmas party -- and then brought her to his home and raped her. But the man, who The Age reports was sentenced to five and a half years in prison on Wednesday, was not an authorized Uber driver. Rather, he was able to easily fool Uber's verification system by holding up a photo of a real driver. In other words, the AI technology that Uber uses to verify that its drivers are who they claim to be -- like Amazon delivery drivers, Uber contractors take a selfie when signing on -- wasn't sophisticated enough to spot a printed headshot. It's a horrifying story that illustrates the perils of big tech offloading security to dodgy AI systems.
Advances in Artificial Intelligence (AI) and Machine Learning (ML) is arguably the biggest technical innovation of the last decade. Although the algorithms for AI have been in existence for many years, the recent explosion of both data as well as faster compute made it possible to apply those algorithms to solve many real life use cases. One of the most prominent of these use cases is fully automated driverless cars. The neural networks, which is a special subfield of AI, play a key role in achieving full autonomous drive. But to drive without human intervention requires a sophisticated framework of sensors to capture not only the vehicle data but also that of the surroundings.
Recent years have seen a rising interest in developing AI algorithms for real world big data domains ranging from autonomous cars to personalized assistants. At the core of these algorithms are architectures that combine deep neural networks, for approximating the underlying multidimensional state-spaces, with reinforcement learning, for controlling agents that learn to operate in said state-spaces towards achieving a given objective. The talk will first outline notable past and future efforts in deep reinforcement learning as well as identify fundamental problems that this technology has been struggling to overcome. Towards mitigating these problems (and open up an alternative path to general artificial intelligence), I will then summarize a brain computing model of intelligence, rooted in the latest findings in neuroscience. The talk will conclude with an overview of the recent research efforts in the field of multi-agent systems, to provide the future teams of humans and agents with the necessary tools that allow them to safely co-exist.
As we navigate into the 21st century, great innovations promised by Star Trek and Marty McFly are starting to become reality. Transporters and self-tying shoes aside, ask any daily commuter what they want, and they will say autonomous cars. Imagine heading into the office sipping your coffee and reading the paper at 65 miles per hour while Alexa or Google drives your car. Well, that future could still be a little further away than people think. The Washington Post just released a very interesting online simulator showcasing how difficult a problem full Level 5 Autonomy truly is.
Despite common misconceptions, the cruise industry is at the forefront of the travel tech revolution. Here's our pick of the most ground-breaking cruise ship technology developments that are revolutionising the industry. Much has been made of efforts to reduce emissions and improve environmental performance in the cruise sector, but few have gone as far as Hurtigruten. The line recently unveiled Roald Amundsen, the first cruise ship to sail on battery power. Estimates say the ship's hybrid propulsion will reduce CO2 emissions by about 20 per cent.
This is a preview of a research report from Business Insider Intelligence. To learn more about Business Insider Intelligence, click here. Current subscribers can log in and read the report here. New technology is disrupting legacy automakers' business models and dampening consumer demand for purchasing vehicles. Tech-mediated models of transportation -- like ride-hailing, for instance -- are presenting would-be car owners with alternatives to purchasing vehicles.
Modern cars have some amazing driver-assistance features. Even the humble Toyota Corolla has cruise control that can automatically keep you the correct distance from the car in front, right down to a standstill, and give you a nudge if you start straying out of your motorway lane. Cars from high-end brands like Mercedes-Benz and Tesla can do much more. Even make a lane change: simply click the indicator and if traffic conditions are suitable, the car handles steering and throttle to shift you across. It's almost like these cars are driving themselves.