Machine Learning Systems
Deep learning, reinforcement learning, model evaluation, and production machine learning.
University of Future MindsUNIVERSITY OF FUTURE MINDSAI / Department overview
Artificial Intelligence
Learning, perception, language, and action systems are placed inside a safe, transparent, auditable engineering framework.
Department codeAI
Study levelsBSc · MSc · PhD
Learning modelCourses · labs · real projects
AI / 01
Computer vision, NLP, robotics, agents, and trustworthy AI.
Specialist pathways
Choose your disciplinary depth
Each pathway shares the department foundation, then develops clear professional capability through studios, laboratories, and research.
Language & Multimodal Intelligence
Natural language, vision, speech, and cross-modal understanding.
Robotics & Autonomous Agents
Perception, planning, control, and human–robot collaboration with edge-case safety.
Core curriculum
A sequence from foundations to integrated practice
Computer vision, NLP, robotics, agents, and trustworthy AI.
- 01CourseIntroduction to Artificial Intelligence
- 02CourseMachine Learning
- 03CourseDeep Learning
- 04CoursePattern Recognition
- 05CourseNatural Language Processing
- 06CourseComputer Vision
- 07CourseKnowledge Representation
- 08CourseIntelligent Agents
- 09CourseRobotics
- 10CourseReinforcement Learning
- 11CourseTrustworthy AI
- 12CourseAI Capstone
Teaching & research platform
Trustworthy Intelligence & Robotics Laboratory
Learning, perception, language, and action systems are placed inside a safe, transparent, auditable engineering framework.
Academic leadership
Anna Beck
安娜·贝克Head of Artificial Intelligence · Professor
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