An overview of the robotics industry in Europe: definitions, typologies and differences between industrial and service robots.

This report proposes an example-based methodology to categorise and assess several AI technologies, by mapping them onto Technology Readiness Levels (TRL).

This report provides the analysis of multiple indicators related to the development of artificial intelligence from several perspectives.

Addressing by design the AI safety and cybersecurity challenges is key to securing the many benefits that automated driving can bring to society.

The widespread use of experimental benchmarks in AI research has created competition and collaboration dynamics that are still poorly understood. This paper provides an innovative methodology to explore these dynamics and analyse the way different entrants in these challenges behave and react.

This report summarizes the evolution of AI, it introduces the “seasons” of AI development (i.e. winters for the decline and springs for the growth), describes the current rise of interest in AI, and concludes with the uncertainty on the future of AI.

This document describes an exemplar-based methodology to categorise and assess several AI research and development technologies, by mapping them into Technology Readiness Levels (TRL) (e.g., maturity and availability levels).