The research conducted by Taiwan AI Labs has consistently maintained a leading position in the global research arena. We have assembled top AI experts, scholars, consultants, and talents from within the country, each possessing extensive experience and expertise in their respective fields.
Our team members regularly contribute to highly influential academic journals, publishing the latest research findings. Additionally, we actively participate in significant domestic and international seminars and academic exchange activities to facilitate scholarly communication and collaboration.
We are committed to continuous innovation in the field of artificial intelligence, driving technological advancement, and making positive contributions to the country’s scientific and technological development.
Blog
Analysis of cognitive warfare and information manipulation in the Israel-Hamas war 2023
Introduction
Cognitive warfare, information warfare, and disinformation are increasingly being used to undermine democratic societies. These tactics can sow discord, weaken public trust in institutions, and influence public opinion. This article…
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…
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…
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…
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…
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…
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…
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.