semantics

Knowledge Representation and Semantic Interoperability with IEML

This is the text of my keynote speech at the Knowledge Graph Conference, 8th of May 2024 If you want to watch the video : https://www.youtube.com/watch?v=TM-WB5kNv_A Today, the whole world is rushing toward statistical AI, Neural Models and/or Generative AI. But we know that, though these models are useful, we still need symbolic models or,Lire la suite « Knowledge Representation and Semantic Interoperability with IEML »

Artificial Intelligence at the Service of Collective Intelligence

My wish is for a digital memory that will enable us to cultivate diverse and fertile ecosystems of ideas and reap the maximum benefits for human development.

Semantics, artificial intelligence and collective intelligence

How does language work? On the receiving end, we hear a sequence of sounds that we translate into a network of concepts. This is what we call « understanding the meaning » of a statement we hear. On the transmit side, we have in mind a network of concepts – a meaning to be conveyed – that we translate into a sequence of sounds.

IEML: Towards a Paradigm Shift in Artificial Intelligence

IEML has the expressive power of a natural language and the syntax of a regular language. Its semantics are unambiguous and computable because they are an explicit function of its syntax. A neuro-semantic architecture based on IEML combines the strengths of neural AI and classical symbolic AI while enabling integration of knowledge through an interoperable computing of semantics.

Towards a Data-centric Organization

The transition to a data-centric organization implies a change of culture and an evolution of management. All of a sudden, words and concepts become important, not only in communication and marketing, but also in production, which is no less digitized than the other functions of the company. In addition, the cultural change calls for more openness and communication between departments, branches, services and businesses. No good management without data management, and no data management without good metadata management. We thought that interest in semantics was reserved for cultural studis departments in American universities, but now it is a condition of business productivity!