A Conversation Explored: "Your Morning"

One of the most important parts of machine learning is how we converse with applications/devices. For example Amazon's Alexa provides a conversational interface to the home, Apple's Siri, Google's Assistant or Facebook M create a method to speak to your phone like an assistant. Each of these all allow for methods to speak and message via an "automated" experience. Facebook created their chatbot messenger framework to produced some interesting "AI" assistants which can schedule meetings or book flights. A challenge for these systems is determining a common framework of language interaction. One method to explore is conversation flows; ask yourself how does a person converse... read more »

How Wearable Tech is Changing How We Manage Health Information [INFOGRAPHIC]

Technology is changing how we manage our lives and track important data. With increasing amounts of wearable technology available, patients are able to monitor and record their own health. This revolutionizes the doctor-patient relationship, providing innovative changes to the health care industry. We found a cool infographic by the University of Chicago that shows how wearables are changing the way we manage health information. Check it out below, or visit their post!... read more »

AI for the Busy Person

Is AI (Artificial Intelligence) the most important topic of our future? Here is a quick opinion on the top five questions that come to mind regarding this topic (without trying to introduce too many acronyms): What is AI all about? Trying to make computers as smart as humans Computers work in computation cycles / second. The human brain works at approximately 10^24 cycles per second while using low power. This allows us to do complex things without even thinking about them: raising an arm, sitting down, recognizing emotions, driving a car, and more. These are incredibly difficult mathematical operations for computers (think about building a self-driving... read more »

Growing your App from 0 to 10,000 Users

Over the last three months, a portion of the Kiwi team has been running an experiment to create an intelligent application. Our app, Pepper, uses our users' happiness levels to: Allow for powerful contextual data Encourage users to become self aware Find insights for self coaching Three product buckets were used to encourage growth: Attract: person to person (personable touch point) Engage: simple value (digital intelligent diary) Retain: monthly new features To do this we first determined the method of interaction; a new medium of communication are chatbots; they allow for a low cost interaction touch point for new users, since they are using an app... read more »

Privacy and Emotional Context in AR/VR

A key aspect to having a heads up display is being able to provide non invasive insight to people around you. So, how can a system deliver value without invading privacy? The focus of content can be limited to what you can see yourself and still provide value by increasing overall awareness of what's in your field of view. One example is demonstrating a guess to whether someone's feeling positive, neutral, or negative. This can be accentuated by having an image notifier pop up in your HUD before disappearing after a fixed time (like three seconds). This is enough time for your mind to register the... read more »