In a groundbreaking initiative, SingularityNET (AGIX), a prominent AI platform developer, and AL’MA Action Logement have joined forces to innovate the construction sector using artificial intelligence (AI) and Knowledge Graphs. This collaboration is part of the “Better Homes 4 All” digital twin ecosystem project for AL’MA Home Flower Village, which aims to set a new standard for smart building.

Innovative Collaboration for Smart Building

According to SingularityNET, the partnership integrates SingularityNET’s Knowledge Layer with Building Information Modeling (BIM) data. The project includes contributions from various partners such as I AM HOME 1.618, Saint Gobain, and Leonard, the innovation platform of Vinci Group.

AL’MA Action Logement is spearheading the construction of sustainable homes, focusing on eco-friendly practices in Mayotte. The pilot project, AL’MA Home Flower Village, features 240 homes designed to leverage AI and digital tools to enhance sustainable urban development.

Addressing Sustainable Housing Challenges

The Better Homes 4 All initiative targets the affordable and sustainable housing value chain, employing a “productization” approach through AL’MA HOME. The project utilizes a variety of low-carbon building systems, including prefabricated wood, compressed earth bricks, low-carbon steel and fiberglass, and low-carbon concrete precast and brick.

SingularityNET’s mission to create decentralized and beneficial Artificial General Intelligence (AGI) aligns with the project’s sustainability goals. The collaboration aims to address significant issues like the construction sector’s contribution to European greenhouse gas emissions, supporting the European Union’s objective of zero-emission new buildings by 2030.

Overcoming Data Interoperability Challenges

One of the major hurdles in the construction industry is data interoperability due to proprietary data schemas and heterogeneous data sources. BIM data audits require considerable human effort, and the object-oriented and parametric nature of BIM information complicates the understanding of relationships between materials and objects.

SingularityNET proposes a Knowledge Layer for Smart Buildings, utilizing a Metagraph (graph of graphs) to enable more intelligent querying and analysis of building information. This consistent Knowledge Graph of materials aims to provide transparent data provenance and potentially enable generative building design.

Integrating AI for Enhanced Efficiency

The collaboration between SingularityNET and AL’MA Action Logement aims to reconfigure and strengthen the entire value chain using AI, blockchain, and tokenization. This approach promises to bring new innovations to affordable and sustainable housing, addressing the climate and social emergency by enhancing collective efficiency and project impact.

Janet Adams, COO of SingularityNET, stated, “SingularityNET is committed to a positive impact as it aims to foster intelligent systems in various industries such as the construction sector. With Better Homes 4 All and AL’MA HOME, we tackle the challenges of affordable smart homes delivery.”

Dr. Delphine Sangodeyi, CEO of AL’MA, added, “The partnership with SingularityNET is an important milestone, reinforcing our ecosystem of partners, working together on innovative solutions as AL’MA HOME, using AI and metaverse for large-scale production of affordable sustainable homes and better cities.”

About SingularityNET and Action Logement

Founded by Dr. Ben Goertzel, SingularityNET aims to create a decentralized, democratic, and beneficial AGI. The team comprises engineers, scientists, researchers, and entrepreneurs dedicated to various application areas, including finance, robotics, biomedical AI, media, arts, and entertainment.

Action Logement, a major player in affordable housing in Europe, established AL’MA Action Logement in 2022 to build 5,000 homes over ten years in Mayotte. The organization is responsible for producing one in three affordable housing units in France and provides over 790,000 aids and services to employees annually.

Image source: Shutterstock