“Sociable” is the latest commentary on important social media developments and trends from industry expert Andrew Hutchinson of Social Media Today.
Meta has explained how it is the latest advances in artificial intelligence for the development of cement and concrete are helping to drive industry-wide efficiencies and profits in the US-based construction sector.
In a March 30 post on the Meta Engineering blog, Meta provided an overview of the projects it is undertaking to bring AI to concrete development, through new approaches such as adaptive experimentation, which, as Meta explains, “uses Bayesian optimization to intelligently navigate the vast space of possible concrete formulations.”
According to Meta, the US imports nearly a quarter of its cement for construction projects, which Meta wants to address with AI to reduce costs and improve efficiency.
Meta said its “AI for the Concrete” project is part of a broader commitment to apply machine learning where it can make a measurable and real impact.
According to Meta: “Over the next few years, Meta plans to further collaborate with the construction industry to develop new AI tools. As more platforms like Quadrel build on BOxCrete, AI-optimized mix design becomes accessible to producers without requiring them to change their existing workflows. The team is also planning an ongoing academic collaboration with Illinois Urbana University, but not only to address material substitution challenges domestic, but not only to address specific national sustainability and performance challenges.
Meta said these projects will help U.S. producers compete on costs, reduce emissions and build supply chain resilience.
These projects highlight another way Meta’s evolving AI tools can impact business in a variety of ways, which is another reason the company has been so dedicated to AI development.
Meta has committed spend $600 billion on AI-related developments in the US just for the next three years as it continues to reshape its business around the latest AI push.
The concern, then, is that AI tools will have a big hill to climb to reach profitability. Meta and other AI providers face an uphill task to demonstrate the practical value to generate business interest and justify that expense.
Meta’s cement and concrete reforming projects show that there are likely more applications in this context, as these advanced processing models enable new discoveries in a range of industries.
But will this be a path to more money for Meta? Will these tools be able to win over traditionalists and reform entire industries around new approaches?
Meta still has a ways to go on this front, but if it can create tools that lead to entirely new, undeniably beneficial approaches, there may be gold in Meta’s growing mountains of AI.
