Artificial Intelligence (AI) is used to perform operations analogous to learning and decision making in humans. Examples may include expert systems, robotics, self learning or programs for the perception and recognition of shapes in computer vision systems.
Typically, technologies should address central problems or goals of AI research include reasoning, knowledge, planning, learning, natural language processing (communication), perception and the ability to move and manipulate objects.
Criteria
| Judging Criteria | Weighting | Attributes and Weighing |
|---|---|---|
| Security | 30% | Solution architecture and/or platform design (60%) Compliance / adherence to security standards (40%) |
| Creativity | 30% | Solving or enhancing processes, capabilities and efficiencies (50%) Methodologies used in producing results, self learning (50%) |
| Scale | 20% | Proof of how solution will scale (50%) Ease of deployment (50%) |
| Openness Integrability | 20% | Demonstrate compliance to industry standards (60%) Integration of third party solutions to enhance and/or monitor (40%) |