Guitar Transformer and Jazz Transformer

At the Yating Music Team of the Taiwan AI Labs, we are developing new music composing AI models extending from our previous Pop Music Transformer model (see the previous blog).  In October 2020, we are going to present two full papers documenting some of our latest result at the International Society for Music Information Retrieval […]

Ensure High Availability for Services: Endpoint Monitoring with AWS

HA and Monitoring Availability is a quality attribute that, in general, refers to the degree to which a system is in an operable state. High availability then describes the set up of infrastructure that prevents a single point of failure and decreases service downtime. In Taiwan AILabs, the Engine team focuses on assuring not only […]

Harmonia: an Open-source Federated Learning Framework

Federated learning is a machine learning method that enables multiple parties (e.g., mobile devices or organization) to collaboratively train a model orchestrated by a trustable central server while keeping data locally. It has gained a lot of attention recently due to the increasing awareness of data privacy. In Taiwan AI Labs, we started an open […]

Missing facts and source classifier of daily news

With the development of the Internet, it is convenient that one can get news from network rapidly. Nonetheless, it is also dangerous since a person might have a preference for a specific news medium over others, and the news medium may have its position to report news while missing some facts that they do not want people to know. For the purpose, we propose a system to detect missing facts from a news report.

Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions

Paper (ACM Multimedia 2020):  https://arxiv.org/abs/2002.00212 (pre-print) Code (GitHub):  https://github.com/YatingMusic/remi   We’ve developed Pop Music Transformer, a deep learning model that can generate pieces of expressive Pop piano music of several minutes.  Unlike existing models for music composition, our model learns to compose music over a metrical structure defined in terms of bars, beats, and sub-beats.  […]

The World’s First 360° AI Aerial Transportation Management

FREEWAY FILMA documentary highlighting locations along Highway No. 61, expected to be completed by the end of next year, uses artificial intelligence (AI) to  create the rest of the footage in Chi Po-Lin’s style. Date: October 28, 2019 Taiwan AI Labs and the Directorate-General of Highways are to release a short film highlighting popular spots and […]

Telling Something from Your Face: Age, Beauty, and Anti-Spoofing

Figure 1. Demonstration of the facial age, beauty, pose estimation. In the last few decades, facial analysis has been thoroughly explored due to its huge commercial potential. For example, learning the semantic meaning of a human face can help us to target potential customers more easily and more efficient. While face recognition is a well-established […]

The Moonscape World Project

Designing an immersive tourism experience, using game elements and aerial cinematography In the beginning of June, Taiwan AI Labs released a demonstration of how aerial footage collected by a drone, combined with artificial intelligence and video processing, can be used to create a flight simulation based on a spontaneous user-defined starting and ending point. While […]

Compete for the NT$20 Million Reward in the AI Chinese Comprehension Championship Challenge – 2020 “Formosa Grand Challenge – Talk to AI” –

2020 “Formosa Grand Challenge – Talk to AI” Date: September 9, 2019 The 2020 “Formosa Grand Challenge – Talk to AI” officially kicks off today (September 9) to accept applications. The Ministry of Science and Technology invites experts to challenge the Band C Level of the Reading Comprehension Test for the “Test of Chinese as […]

Label360: An Implementation of a 360 Segmentation Labelling Tool

The image above shows an example of the segmentation mask overlaying on top of the 360 image we got from our drone. This image is labeled by one of our in-house labelers.    Semantic segmentation is one of the key problems in computer vision. It is important for image analysis tasks, and it paves the […]