Intro
Contents
Google AI Masterclass
23 Aug 2018
AI and Machine Learning are getting more prevalent in our daily life. We hear them over and over again over the media but how do they actually change our life ?
To get a better understanding, Google started the AI masterclass which give the media attendees a better understanding of AI and Machine Learning and how they can be deployed in the real world to create amazing innovations in fields such as healthcare, retail, and other businesses.
Dr. Sergio Hernandez Marin started off explaining the differences between AI and Machine Learning. These two terms are sometimes use interchangeably but in fact, Machine Learning is a subset of AI.
AI as described is the science behind that make things smart. It could be by solving certain issues by teaching it on how to do so. As it’s name implies, it is intelligent but we need to teach it.
Machine Learning is a subset of Artificial Intelligence and probably the most important these days. Simply said, it is to make machines learn to be smarter in decisions. Basically, big data might be provided for it and provide us with predictions accordingly. Instead of following particular set of instructions (like traditional algorithms do), it builds model from example inputs provided in order to make predictions or take decisions. It gives computers the ability to learn and be more and more accurate without being explicitly programmed.
Google Photos is an application which is available on mobile and desktops. If you have used it before, you would have noticed that it is capable of grouping pictures based on location, birthdays, objects and searchable.
Try searching for photos by entering “bridge” without quotes and all the photos with a bridge will be sorted out. This Is done through computer vision. It is able to recognise faces, objects. When it sees a cake with candles, it is classified as a birthday.
Gmail is an application developed by Google for emails. In this application, when you reply an email, it will automatically generate smart responses. It is some what is able to predict from the context of the email what sort of response you will type. For example, an invitation will probably prompt you a few options “I will attend”, “I am not available” etc. This is Google’s Smart Reply which uses Machine Learning to accomplish.
Google Assistant, the linguistic guru that can now even understand Singlish is another example. Google Assistant speech recognition AI uses deep neural networks to learn how to better understand spoken commands and questions.
Try speaking to it in Singlish and see how it reacts. I hope you enjoyed speaking to your Google Home.
