In a groundbreaking initiative, SingularityNET (AGIX), a distinguished AI platform developer, and AL’MA Motion Logement have joined forces to innovate the development sector utilizing synthetic intelligence (AI) and Data Graphs. This collaboration is a part of the “Higher Properties 4 All” digital twin ecosystem undertaking for AL’MA Dwelling Flower Village, which goals to set a brand new commonplace for sensible constructing.
Modern Collaboration for Good Constructing
In line with SingularityNET, the partnership integrates SingularityNET’s Data Layer with Constructing Data Modeling (BIM) knowledge. The undertaking consists of contributions from varied companions equivalent to I AM HOME 1.618, Saint Gobain, and Leonard, the innovation platform of Vinci Group.
AL’MA Motion Logement is spearheading the development of sustainable properties, specializing in eco-friendly practices in Mayotte. The pilot undertaking, AL’MA Dwelling Flower Village, options 240 properties designed to leverage AI and digital instruments to boost sustainable city improvement.
Addressing Sustainable Housing Challenges
The Higher Properties 4 All initiative targets the inexpensive and sustainable housing worth chain, using a “productization” method by AL’MA HOME. The undertaking makes use of quite a lot of low-carbon constructing methods, together with prefabricated wooden, compressed earth bricks, low-carbon metal and fiberglass, and low-carbon concrete precast and brick.
SingularityNET’s mission to create decentralized and useful Synthetic Common Intelligence (AGI) aligns with the undertaking’s sustainability targets. The collaboration goals to handle important points like the development sector’s contribution to European greenhouse fuel emissions, supporting the European Union’s goal of zero-emission new buildings by 2030.
Overcoming Knowledge Interoperability Challenges
One of many main hurdles within the building business is knowledge interoperability attributable to proprietary knowledge schemas and heterogeneous knowledge sources. BIM knowledge audits require appreciable human effort, and the object-oriented and parametric nature of BIM data complicates the understanding of relationships between supplies and objects.
SingularityNET proposes a Data Layer for Good Buildings, using a Metagraph (graph of graphs) to allow extra clever querying and evaluation of constructing data. This constant Data Graph of supplies goals to supply clear knowledge provenance and doubtlessly allow generative constructing design.
Integrating AI for Enhanced Effectivity
The collaboration between SingularityNET and AL’MA Motion Logement goals to reconfigure and strengthen your complete worth chain utilizing AI, blockchain, and tokenization. This method guarantees to carry new improvements to inexpensive and sustainable housing, addressing the local weather and social emergency by enhancing collective effectivity and undertaking impression.
Janet Adams, COO of SingularityNET, said, “SingularityNET is dedicated to a constructive impression because it goals to foster clever methods in varied industries equivalent to the development sector. With Higher Properties 4 All and AL’MA HOME, we sort out the challenges of inexpensive sensible properties supply.”
Dr. Delphine Sangodeyi, CEO of AL’MA, added, “The partnership with SingularityNET is a vital milestone, reinforcing our ecosystem of companions, working collectively on modern options as AL’MA HOME, utilizing AI and metaverse for large-scale manufacturing of inexpensive sustainable properties and higher cities.”
About SingularityNET and Motion Logement
Based by Dr. Ben Goertzel, SingularityNET goals to create a decentralized, democratic, and useful AGI. The group contains engineers, scientists, researchers, and entrepreneurs devoted to numerous utility areas, together with finance, robotics, biomedical AI, media, arts, and leisure.
Motion Logement, a significant participant in inexpensive housing in Europe, established AL’MA Motion Logement in 2022 to construct 5,000 properties over ten years in Mayotte. The group is accountable for producing one in three inexpensive housing models in France and offers over 790,000 aids and providers to workers yearly.
Picture supply: Shutterstock