This might include deciding to switch a source of power from solar to electrical or preemptively adjust heating and cooling temperature based on weather conditions, occupancy, cost or efficiency goals.” According to the US Department of Energy, buildings are responsible for 40% of global energy consumption and roughly one-third of that is wasted at a cost of $150 billion annually.2 The VERSES exhibit, entitled EcoNet: a Multi-Agent Active Inference System for Urban Energy Optimisation, is a joint effort between VERSES researchers and University College London (UCL), that addresses a key aspect of the environment and sustainability objectives of Turing Grand Challenge, which seeks to develop AI systems that can reduce the impacts of climate change by managing energy use effectively.
Exhibition Showcases Multi-Agent Smart Grid Automation and Efficiency ManagementVANCOUVER, British Columbia, March 18, 2025 (GLOBE NEWSWIRE) -- VERSES AI Inc.(CBOE:VERS) (OTCQB:VRSSF) ("VERSES'' or the "Company”) a cognitive computing company specializing in next-generation intelligent software systems, announces the completion and exhibition of its work on sustainable building management, or smart homes, for the invite-only Turing Grand Challenge at AI UK 20251 on March 17th and 18th.
"We believe the challenge with today’s rule-based energy control systems, such as smart homes, is that they are reactive and don’t take into account other variables like hyper-local weather, multiple energy sources (grid, solar, battery), carbon emissions or room occupancy, and therefore they really aren't smart’,” said VERSES CEO, Gabriel René.
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