Taiwan AI Labs and Turing College Sign Memorandum of Cooperation to Foster Collaboration in the Field of Artificial Intelligence
Taiwan AI Labs, a leading artificial intelligence research institution, has announced a significant milestone in its global expansion efforts with the signing of a memorandum of cooperation with Turing College, a pioneering educational institution based in Lithuania. The collaboration aims to facilitate intensive exchanges in areas such as federated learning and will also encompass internship […]
Call to Action: confirm leading edge medical AI technology improves radiosurgery clinical workflow
To distinguished medical professionals, We would like to request your assistance with an AI project designed to make radiosurgery more precise and accessible. Participants will have access to leading edge AI technology which seeks to revolutionize radiosurgery procedures for patients, clinicians, and institutions. This project is initiated by Taiwan AI Federated Learning Alliance (TAIFA) and […]
Removing Objects from 360° “Stationary” Videos
Introduction In recent years, 360° videos have become increasingly popular in providing viewers with an immersive experience where they can explore and interact with the scene. Taiwan AILabs is developing technology for the processing and streaming of 360° videos. Among the applications of our technology is Taiwan Traveler, an online tourism platform that allows visitors […]
Speaker Verification and Speaker Retrieval
Speaker verification is the task that given two segments of audio signal, we are supposed to verify whether both signals came from the same identity of the speaker or not. While inferencing, we first transform the audio signal into the corresponding speaker embedding, then calculate the similarity between two embeddings which is used to compare with the certain threshold later.
Extracting The Most Significant and Relevant Relational Facts From Large-Scale Biomedical Literature
pubmedKB is “a novel literature search engine that combines a large number of state-of-the-art text-mining tools optimized to automatically identify the complex relationships between biomedical entities—variants, genes, diseases, and chemicals—in PubMed abstracts” (Li et al.).
The Third-Party Federated Learning Model Interfacing
Federated learning(FL) is a deep learning approach that trains a model across multi-center without data circulation. Without the local training dataset exchangement in each center, the data can be well protected and more private.
Hovering Around a Large Scene with Neural Radiance Field
Neural Radiance Field (NeRF) has been a popular topic in computer vision since 2020. By modeling the volumetric scene function with a neural network, NeRF achieves state-of-the-art results for novel view synthesis.
Enhance MIDI Generation with Harmonic and Rhythmic Features
Music generation at Taiwan AI Labs is based on the generation of note sequences. This approach preserves most details of a piece of music, but to the human ear, music is not only a set of notes, but the patterns that are formed by them. This is exactly what chorder and groover aim to achieve; […]
Investigating the Impact of Facebook Polarization on the 2021 Taiwanese Referendum
Taiwan has four important upcoming referendums on December 18, 2021. “Pork Imports”, “Referendum Dates”, “Nuclear Plant”, “Algae Reef Protection.” According to previous research, disinformation and manipulation of the media could influence public opinion on topics like these referendums. This study will examine how Facebook has affected the polarization of public opinion on these topics over the previous eleven months. The phenomenon of public opinion polarization and the factors affecting policy support and political attitudes will be analyzed using artificial intelligence technology. The polarization impact of pages that demonstrated evidence of potential media manipulation through coordinated behavior were considered. Within these pages, those that were shared most often are referred to as “amplifiers.”
Exploring Atypical Online Coincidental Behavior on PTT
This study focuses on atypical coincidental behavior on the Taiwan social media, PTT1, to discover attempts to manipulate public opinion during the outbreak of the COVID-19 in Taiwan from May through August 2021.