OpenAI Releases Infrastructure Blueprint for the U.S.
Stating that infrastructure is destiny, OpenAI has published a blueprint for infrastructure development in the U.S. "Nations succeed when they harness their resources to gain technological competitive advantage. For AI, those resources are advanced chips, data, and energy" needed to generate computing. The blueprint proposes several ambitious initiatives toward building an AI infrastructure in the U.S. and with partners and allies. The initiatives include AI Economic Zones, A "National Transmission Highway" akin to the Interstate highway system, “government backstops for high-value AI public works,” a “North American Compact,” and tapping the nuclear power expertise of the U.S. Navy. OpenAI
The Construction Industry Has A CO2 Problem And Concrete.ai Aims To Fix It
Mathieu Bauchy, cofounder of Concrete.AI, knows there are areas of improvement within the construction industry, especially when it comes to the very precarious material called concrete. However, with carefully applied AI models, Bauchy and his team have created a product for concrete producers that can help reduce CO2 emissions and cut production costs. Forbes
How the AI Revolution is Changing Data Center Construction
Even as uncertainty swirls about just how many of AI's promises it can fulfill in business, the construction industry responsible for building the facilities where AI processing takes place is charging full steam ahead and evolving rapidly to support this transformative technology. These new data centers are fundamentally different from the ones we were building just a few years ago, requiring different skills, materials, equipment, and plans. Engineered Systems News
Bridging the Talent Gap: Harnessing AI to Transform the Construction Industry
A skilled and knowledgeable workforce is vital, so construction professionals must be trained in tech, data analysis, and many systems to use them on their projects effectively. "This requires a commitment to ongoing education and upskilling within the industry. The closer people are to understanding the benefits and risks of AI, the less inclined they'll be to think that it will replace what they do, rather seeing its potential to augment and enhance our work." – Amit Puri MSN
Benefits Of Using AI In Construction
As AI adoption grows, it remains critical for companies to address data management, regulatory compliance, and ethical considerations. There are five levels of AI integration. Level one is at the individual level, where you start to tackle prompt engineering. Level two is at the organizational level, with a plan to upskill the organization. Level three infuses AI within applications. In level four, AI operates with little human monitoring or intervention. Level five occurs when there is full trust in the AI, and the resulting impact is monumental. While the level of AI integration varies across organizations in the construction industry, the technology is already impacting the industry in various ways. JDSupra
Building The Future: How AI Is Revolutionizing Construction
Having places to live, work, shop, and otherwise conduct our daily lives is critical. However, someone has to build those structures and account for all the various aspects and needs of the construction. Technology has always been a significant component of the evolution of the construction industry over the many millennia, and now construction is seeing substantial benefits from the use of AI. Forbes
What is retrieval-augmented generation (RAG)?
Retrieval-augmented generation, or RAG, is a process applied to LLMs to make their outputs more relevant in specific contexts. RAG allows LLMs to access and reference information outside the LLM's own training data, such as an organization's specific knowledge base, before generating a response—crucially, with citations included. This capability enables LLMs to produce precise outputs without extensive fine-tuning or training, delivering some of the benefits of a custom LLM at less expense. Issues include data quality, multimodal data, and data access and licensing. However, RAG generates much better outcomes by referencing a specific data library rather than an LLM’s general training data alone. McKinsey
Document Crunch Raises $21.5M Series B to Ensure Construction Stays Compliant During Project Execution
ATLANTA – Document Crunch, an AI-powered construction document compliance platform, announced that it has raised $21.5M in Series B funding. BUSINESS WIRE
Books
AI in Construction and Real Estate, by Dinis Guarda
The research publication has been released as a book, ebook, audiobook and website. It is a comprehensive guide to look at the disruptive powers of artificial intelligence (AI) in one of the world's most complex and evolving sectors, the construction and real estate industries, paving the way for innovation and advancements in efficiency, safety, and sustainability. “From blockchain smart contracts, digital twins, BBIM (Business Building Information Model), construction tenders, to smart project management, legal management of documentation, and predictive maintenance to risk mitigation and property valuation, the Fourth Industrial Revolution 4IR and special AI is redefining every facet of construction and real estate.” PR Newswire