Our mission is to define the future of AI experiences.

Areas of Interest

We leverage Taiwan’s comprehensive medical data and work with doctors and top scientists to solve complex human health problems.

We collaborate with local and central governments to bring machine intelligence to city aspects including environment and transportation.

We’re exploring new user experiences for the age of AI. We work on social natural conversations, Image recognition, text and AI music.

Founder

Ethan Tu

Former principal development manager at US-based tech giant Microsoft Corp, Ethan is well-known as the founder of PTT, which has grown into one of Taiwan’s most influential online forums since its launch in 1995.

Leadership

Alphabetical order by first name

Human Interaction

李宏毅 Hung-Yi Lee

陳縕儂 Yun-Nung Chen

楊奕軒 Yi-Hsuan Yang

Health Care

陳倩瑜 Chien-Yu Chen

阮雪芬 Hsueh-Fen Juan

蔡懷寬 Huai-Kuang Ysai

林澤 Che Lin

Smart City

莊永裕 Yung-Yu Chuang

Recent Blogs

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.

Taiwan AI Labs Partners With Shin-Kong Hospital for Ensuring Quality in Clinical Application of NGS

Medical care in cancer treatment planning and inherited disease diagnosis have increasingly adopted genetic-based examination as part of standard medical care. At the beginning of 2021, the Taiwan Food and Drug Administration(TFDA) modified…

Columbia University and Taiwan AI Labs sign MOU to accelerate AI application for sustainable development

Responding to the UN's "2030 Sustainable Development Goals," Taiwan AI Labs and the Center for Sustainable Development (CSD) at Columbia University signed a Memorandum of Understanding (MOU) focusing on key collaborations in artificial intelligence (AI) and data governance. The move aims at enhancing academic cooperation and developing human-centered AI solutions to achieve the global sustainable development goals.
Donation

Name        :財團法人台灣人工智慧發展基金會
Account    :153-018-0006262-9
Bank No     : 807
Swift Code : SINOTWTP

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