Artificial Intelligence
Machine intelligence manifests itself in different ways, ranging from being merely analytical to even “humanized”. They represent the different extents to which machines are simulating the key attributes of humans’ natural intelligence—namely cognitive, emotional and even social abilities.
Given the stratospheric growth of computer power over recent decades and the availability of large pools of data as well as the methodologies to harness them, AI-powered techniques have been helping to solve many challenges in fields such as computer science and software engineering.
Here at SENG, a significant portion of our AI-related research encompasses technologies such as artificial neural network and their implementation, machine learning, language technologies and text mining, computer vision and image processing, as well as knowledge representation and reasoning—all of which are integral to the multifaceted process of human perception. Our studies also look into the important knowledge of game theory that exists to understand the interplay between multiple agents, since AI systems are usually governed by different interaction patterns between their multiple constituents. This science is therefore pivotal to the deciphering of behavioral and interaction patterns of us humans.
Meanwhile, our research also delves into the design and analysis of algorithms, studies coding theory and carries out stochastic modeling analysis. These are all highly intricate fields in computer science that set out to systematically and methodically unleash the potential embedded in a labyrinth of random variables and probabilities that are inherent in the world that we live in.
The continuous and foreseeably ambitious development of AI may further usher in functions or tools we may not even have dreamt of. While the merits of AI are ours for the taking, concerns have also been expressed over the possibility of AI rivaling or even encroaching on humans. Therefore, we feel prompted to also look into the ethical concerns of this technology. How far AI can and should go, remains a question to be answered.
Relevant Faculty Members
Relevant Research Infrastructure
- AI Chip Center for Emerging Smart Systems (ACCESS)
- Big Data Bio-Intelligence Laboratory
- Big Data Institute (BDI)
- Center for Artificial Intelligence Research (CAiRE)
- Cheng Kar-Shun Robotics Institute (CKSRI)
- HKUST-Bright Dream Robotics Joint Research Institute
- HKUST-China Unicom Joint Laboratory on Smart Society
- HKUST-Deutsche Telekom (DT) System and Media Laboratory
- HKUST-DiDi Joint Research Laboratory
- HKUST-DJI Joint Innovation Laboratory
- HKUST-HKPC Joint Research Lab for Industrial AI and Robotics
- HKUST-Huawei Joint Laboratory
- HKUST-Kaisa Joint Research Institute
- HKUST-NAVER / LINE AI Laboratory
- HKUST-WeBank Joint Laboratory
- HKUST-Xiao-i Joint Laboratory on Machine Learning and Cognitive Reasoning
- Hong Kong Center for Construction Robotics
- Intelligent Autonomous Driving Center (IADC)
- MOE/MSRA Information Technology Key Laboratory
- WeChat-HKUST Joint Lab on Artificial Intelligence Technology (WHAT LAB)