AI Capabilities

Long descriptions
The AI Strategy identifies capabilities that can be achieved through AI to better support operations and to solve key business problems.
Computer vision
- Document digitization
- Image classification and analysis
- Object tracking
Robotics and autonomous systems
- Remotely piloted system ISR capabilities
- Path planning for bomb disposal robots
- Cybersecurity threat detection and response
Planning, scheduling and optimisation
- Virtual assistants
- Supply chain optimization
Control systems
- Predictive control systems
- Industrial process optimization
Speech processing
- Voice and speech recognition
- Automated translation from speech
- Voice-controlled assistants
Knowledge representation and reasoning
- Semantic processing
- Computer-aided diagnosis
Biometrics
- Facial recognition
- Gait analysis for injury prevention or diagnosis
- Intrusion detection
Predictive analytics
- Troop and fleet movement prediction
- Predictive vehicle maintenance
- Prescriptive analytics to recommend courses of action based on past and current performance
Distributed AI
- Parallel processing for large data sets
- Edge applications
Natural language processing
- Chatbots
- Sentiment analysis
- Information extraction (search engines)
Training and simulation
- Virtual wargaming
- Digital twins
- Virtual reality (VR) training
Many AI applications use more than one technique. For example:
Speech processing + Natural language processing + Knowledge representation and reasoning = Voice-controlled virtual assistant
Page details
- Date modified: