Illustrating Microservices in Action: A Closer Look at the Task Manager Application
In today’s rapidly evolving technological landscape, software development approaches have undergone a paradigm shift. One of the most influential trends that has emerged is the adoption of microservices architecture. Microservices architecture is a modern software design pattern that aims to build large, complex applications as a collection of small, independent, and loosely coupled services. Within […]
From Novice to Dual Roles in Just One Month: Immersive Internship Experience in Both Product and Engineering Positions
Infodemic PM: I began my internship journey at AI Labs within the Infodemic department as a Product Manager intern. I spent the initial days understanding our target clients and the specific services AILabs and the Infodemic team wanted to deliver with this product. After gaining a baseline understanding of our product, I conducted a comprehensive […]
For Exploring Medical Frontiers: Deep Learning for ICU Tabular Data and Image Registration
Tabular data learning Introduction Artificial intelligence(AI) has significantly transformed the landscape of medicine. AI has proven its effectiveness in aiding clinicians by facilitating diagnoses, finding new treatment regimes, and even predicting disease prognosis. However, while AI models have been successful in interpreting medical images, the realm of medical tabular data, which is routinely collected for […]
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.