Consumers now experience AI mostly through image recognition to help categorize digital photographs and speech recognition that helps power digital voice assistants such as Apple Inc's Siri or Amazon.com But at a press briefing in San Francisco two days before Ng's Landing.ai In many factories, workers look over parts coming off an assembly line for defects. Ng showed a video in which a worker instead put a circuit board beneath a digital camera connected to a computer and the computer identified a defect in the part. Ng said that while typical computer vision systems might require thousands of sample images to become "trained," Landing.ai's
Amazon's voice assistant Alexa can order an Uber, check your credit card balance and even arrange for a Domino's pizza to be delivered to your doorstep. Next up, it will be able to lock your door, thanks to an integration with August, a startup that makes Internet-connected door locks. Embedded in Amazon's voice-controlled Echo smart speakers, as well as its Fire TV video streaming device, Alexa answers questions and lets users order items like diapers from Amazon.com. Over the past year, a number of home automation and smart device companies have built their own skills (the Amazon name for Alexa's apps) for Alexa, letting users turn their lights on or off, or control their thermostats with the voice assistant. Launched in 2014, August's smart lock lets homeowners essentially connect their lock to their smartphone, turning their phones into virtual keys.
Computers may not wear tennis shoes (yet), but thanks to developing artificial intelligence technologies, they're smarter than ever before. Along with those technologies has come a relatively new category of computer science called machine learning, or ML. Similar to statistics, ML involves computer systems that utilize algorithms to automatically learn about data, recognize patterns, and make decisions, all without outside intervention or explicit directions from human beings. In the real world, you can find it being used in smart assistants like Siri and the Amazon Echo, in online fraud detection services, in the facial recognition feature that identifies photos of you on Facebook, and more recently, in Tesla's self-driving car. ML is distinctive in the world of AI in that it can be used to process vast amounts of data quickly, making it a desirable tech skill among job applicants not only in the fields of computer science and engineering, but also marketing, health care, finance, social media, and beyond.
Apple Inc. will allow its artificial intelligence teams to publish research papers for the first time, marking a significant change in strategy that could help accelerate the iPhone maker's advances in deep learning. When Apple introduced its Siri virtual assistant in 2011, the company appeared to have a head start over many of its nearest competitors. But it has lost ground since then to the likes of Alphabet Inc.'s Google Assistant and Amazon.com Researchers say among the reasons Apple has failed to keep pace is its unwillingness to allow its AI engineers to publish scientific papers, stymieing its ability to feed off wider advances in the field. So you can sleep an extra five minutes.
At the beginning of last year we announced an Amazon Polly plugin for WordPress. This plugin allows blog and website creators who are using WordPress to quickly and easily create audio versions of their posts, articles and websites. A few months later, we updated the plugin with the ability to quickly translate the content of websites to other languages using the Amazon Translate service. This functionality, together with the ability to create audio versions, allows you to voice the content of sites in translated languages. We want to allow creators and authors to reach more readers/listeners around the world using the latest AI services offered by AWS.