There's no question as to who the real technology star is now: it's you. Your voice is what hundreds of companies are vying to attract, with thousands of new products calling out for you to talk to them. Voice-activated technology has erupted over the last 12 months since Amazon's Alexa was informally crowned breakout technology champion of the CES 2017 consumer tech show. Seemingly by stealth, Amazon had snuck Alexa into a dizzying array of products and everywhere you turned, there she was. Alexa was the name on everyone's lips – literally – and Amazon had achieved this near-ubiquitous name- recognition without even having a stand at the gargantuan annual gadget-fest in Las Vegas.
Finding a car that fits your preferences can be a very time-consuming task and may drive you crazy. On the other hand, with approximately 1.5 million cars on our platform, vehicle descriptions that are constantly changing and users that are still exploring may also drive us as the solution provider crazy. Under these circumstances, matching cars with users' preferences is challenging and by the time you've found a match, your perfect car might be gone.
The adoption of AI in business and society is being spurred on by tech giants with resources to design, build and roll out services affordable and simple enough for everyday use. Microsoft is one of those at the forefront. This year, the words "artificial intelligence" appeared in a vision statement for the first time, reaffirming that smart, learning machines are considered central to everything they do. While it may only just be beginning to shout about it, Microsoft has been building intelligent functionality into many of its products and services for some time. If you regularly use Skype, Office 365, Cortana or Bing, you have probably come across them.
Everyone's favorite creepy Google tool is about to help Google get even creepier. Wired reports that the cameras Google uses to create imagery on its Street View service have gotten their first upgrade in eight years. Now, the vehicles use eight cameras to capture sharper images of the roads, a rig better suited to 2017 than 2009. But perhaps the most important cameras on the vehicles are the two high-definition units facing perpendicular to the direction of travel. Those units record images of stores, road signs, and other objects at the side of the road in incredible detail--and information gleaned from the data will feed Google's ever-hungry machine-learning algorithms.
Forget finding the perfect lighting to snap a selfie, Adobe is using AI and machine learning to create the ultimate portrait. Powered by Adobe Sensei, the app combines perspective effect editing, automatic software-only photo masking and photo style transfer technology. The system transforms a bad image into a flattering selfie by altering the perspective of the person's face, adding depth of field and replicating styles of other photos online. Forget finding the perfect lighting to snap a selfie, Adobe is using AI and machine learning to create the ultimate portrait.Powered by Adobe Sensei, the app combines perspective effect editing, automatic software-only photo masking and photo style transfer technology Adobe's new selfie app uses AI and machine learning to edit photos. The 3D-facial mapping lets users adjust their pose and appearance.
I was at a family event recently and two guests were chatting about the Artificial Intelligence (AI) component of driverless or autonomous vehicles and more specifically, how these vehicles are currently unable to detect human movement at high speed. Form left to right, the diagram depicts a Facebook messenger bot or just as easily an independent purpose build bot placed on the homepage of a website and with the purpose of connecting with customers in a customer service capacity providing and AI-like customer service experience or response to customer enquiries. The NLP component allows the computer to interpret the vast and complicated human language, understand what's being said, process it all, reflect what is being required of it and effectively'talk back', equally like humans do. Cognitive-based systems build knowledge and learn, understand natural language, and reason and interact more naturally with human beings than traditional programmable systems.
Image classification AI within the app compares the customer's photos with thousands of other anonymized crash photos to generate a cost estimate for their repair. At Solaria Labs, the innovation incubator for Liberty Mutual Insurance, a team is developing machine learning tasks to enable safe routing and parking for drivers. Right now, if you were to ask a virtual assistant "Call Brenna, no, call Nora," most virtual assistants will call Brenna first, or ask you to repeat your request. The more natural and seamless the customer's interaction with the technology (think of interacting with a virtual assistant), the less effort it takes them to accomplish a task, and the more likely they are to accomplish that task.
Back in the pre-iPhone era, investors would rally around the word'mobile' as the'next big thing'. It was clear that mobility and doing things on small-screen devices would affect the lives of many for years to come, but what wasn't clear was how. How were applications going to get smart enough to add value on the go? How were web standards going to evolve fast enough to accommodate all the different kinds of devices available in the market? Which platforms across the myriad of non-compatible platforms (Symbian, WinCE, RIM, Java etc), should developers invest their time?