Home   Projects   Research   Teaching   Links   Affiliations  
Contact
Pattern Recognition, Medical Imaging, Machine Intelligence, Computer Vision Hamid R. Tizhoosh
Faculty of Engineering
University of Waterloo

Pattern Recognition, Computer Vision,
Medical Imaging, Machine Intelligence		 Hamid R. Tizhoosh
Teaching
Computer Vision
Machine Intelligence
Data Structures
Research
Pattern Recoginition
Computer Vision
Machine Intelligence
Terahertz Imaging
Health Engineering
Opposition-Based Learning
Students
Current Students
Former Students
Projects
Prostate Cancer
Breast Cancer
Radiation Therapy
Other Projects
Publications
Books & Chapters
Journals
Conferences
Reports etc.
University of Waterloo :: Faculty of Engineering :: Systems Design

Research …
Machine Intelligence

Machine or artificial intelligence is a branch of research with the goal to imitate human (and sometimes animal) abilities to solve problems. As John McCarthy tried to define the machine intelligence in 1956, it is "making a machine behave in ways that would be called intelligent if a human were so behaving."

Machine Intelligence

Fields

  • Supervised and Unsupervised Learning

  • Evaluation- versus Feedback-Based Learning

Methodologies

Applications

  • Data Classification

  • Image/Object Recognition

  • Automated Image Processing

More Information

» See the list of other research activities

 

 

 

» Supporters

» Partners

» Affiliations

» Resume

» Contact

 

MIQ

The machine intelligence quotient (MIQ) is a measure to assess the intelligence of an autonomous system. Any index, numerical or liguistic framework indicating the degree of autonomy of an intelligent agent can be regarded as MIQ quantification.