Engineering Reliable Deep Learning Systems

Understand

Recent progress in artificial intelligence (AI) using deep learning techniques has triggered its wide-scale use across a broad range of applications.

• These systems can already perform tasks such as natural language processing of voice and text, visual recognition, question-answering, recommendations and decision support.
• However, at the current level of maturity, the use of an AI component in mission-critical or safety-critical applications can have unexpected consequences.
• Consequently, serious concerns about reliability, repeatability, trust, and maintainability of AI applications remain.