Innovation through
disruptive and scalable
AI technology
We practice “Deep Care” in all aspects of our professional lives. Deep Care begins within ourselves and stems from the quality of our work. Deep Care extends to our colleagues, customers, and even society itself. At its core, Deep Care is the professionalism we love and innovation we pursue.
AIC strives for global excellence
Applied Research & Commercial Development
T-Brain
Cutting-edge AI research :
from curiosity-driven research
to goal-oriented research
from curiosity-driven research
to goal-oriented research
Who are T-Brainers?
We are Deep Learning Experts
1.DL algorithms and techniques
2.AI applications : computer vision, natural language, signal processing(speech, image, music)
3.DL software and infra
What do we collectively know well?
1.Learning : { , Semi-, un} supervised learning, {auto, continual, meta, transfer, reinforcement} learning
2.Applications : language understanding (BERT), dialog policy, (visual) question answering, image generation, video action recognition, music source separation, etc.
Applied Research & Commercial Development
Tech Prototyping
Cutting-edge research meets
real-world applications
real-world applications
What is Tech Prototyping Group(TPG)?
1.Quick prototyping to take AI technologies from the lab to the end user
2.Linguistic : dedicated to understanding languages and mediating conversations via smart applications of technology
3.Multimodal Interaction : making interaction with AI technologies more impactful by using multimodal modalities like speech, vision, touch etc.
4.Intelligent User Interface: minimizing cognitive dissonance and improving naturalness in AI interfaces
Our strengths
Self-sufficient group from requirement gathering to delivery
Machine learning, NLP, computer vision, system engineering, embedded systems, user experience, robotics
Applied Research & Commercial Development
Data Machine
Intelligence
Intelligence
From Data to AI,
make them work in real world
make them work in real world
Who are DMIG?
Data scientists: extract knowledge from data using statistical techniques, machine learning and deep learning algorithms
Data engineers: collect, manage and process big data for AI cycle. Build and operate containerized AI infrastructure
AI software engineers: develop an A/B testing platform and APIs to provide AI models to the world
Our responsibility: AI Transformation
Iterative process to achieve company-wide AI based decision making
Automated data pipelines for AI models
AI service platforms for everyone



