Mugeetion: Musical Interface Using Facial Gesture and Emotion Artificial Intelligence

People feel emotions when listening to music. However, emotions are not tangible objects that can be exploited in the music composition process as they are difficult to capture and quantify in algorithms. We present a novel musical interface, Mugeetion, designed to capture occurring instances of emotional states from users' facial gestures and relay that data to associated musical features. Mugeetion can translate qualitative data of emotional states into quantitative data, which can be utilized in the sound generation process. We also presented and tested this work in the exhibition of sound installation, Hearing Seascape, using the audiences' facial expressions. Audiences heard changes in the background sound based on their emotional state. The process contributes multiple research areas, such as gesture tracking systems, emotion-sound modeling, and the connection between sound and facial gesture.

Faceshift: Apple buys Star Wars motion-capture company - BBC News

AITopics Original Links

Apple has purchased the company behind motion-capture technology used in the latest Star Wars film. Faceshift, a Zurich based start-up, specialises in software that allows 3D animated characters to mimic the facial expressions of an actor. Apple has now bought the company, though it is not known how much the deal cost the tech giant. It is also unclear what Apple's plans are for the company following its acquisition. A spokesman said: "Apple buys smaller technology companies from time to time, and we generally do not discuss our purpose or plans."

iPhone 8 Rumors: Next Apple Smartphone Release Date Could Feature Face Recognition, 'Wraparound' Screen

International Business Times

The iPhone 8 could include face recognition and a "wraparound" screen design, analyst Timothy Arcuri of Cowen and Company said, according to Business Insider. Arcuri predicts three iPhone models later this year, according to a research note circulated to Cowen and Company clients. The next iPhone 8 is referred to in the note as the "iPhone X." The note says one of the models, the iPhone X, will be a 5.8 inch OLED iPhone 8 with a "wraparound" "fixed flex" screen design with embedded sensors, according to Apple Insider, who also obtained the note. The model is rumored to come with features such as, face recognition.

The Panama Papers- It's all about the data!


The latest buzz about Panama Papers has shaken the world. As we all know the Panama Papers is a set of 2.6 TB of data that includes 11.5 million confidential documents with detailed information about more than 214,000 offshore companies listed by the Panamanian corporate service provider Mossack Fonseca. The Panama Papers has set an excellent example for the world about the importance of data science when it comes to analyzing big data. This leak makes us realize that appropriate approaches are needed to handle the challenges of data management for the present and the future. Let's take a deep dive into the Panama Papers and dig down the secret behind the biggest leak ever This leak contains 4.8 million emails, 3 million database entries, 21.5 million PDFs, around one million images and 320,000 text documents.

5 ways artificial intelligence is transforming document management


Whether you're aware of it or not, artificial intelligence (AI) has a ubiquitous presence in our lives today – think the personalised playlists on Spotify or the'Recommended for you' lists on Netflix, both of which use AI to curate a selection tailored just for you. Now its presence is being felt in the area of document management, with AI and cognitive computing set to revolutionise the ways in which we store, archive, process and extract information. Here are 5 ways AI is transforming document management systems . Automatic classification and processing - While OCR (optical character recognition) technology allows for text recognition, AI takes this a step further by being able to "read" the information on that document, classify it correctly and automate workflows based on that classification – all at a fraction of the speed a human could. While the system is initially guided by a set of rules, its identification and processing capabilities continue to improve using machine learning, meaning it is able to learn from repeated exposure to documents, as well as from the actions taken by employees upon those documents.