![]() ![]() And it allows states to use related funding to help provide high-performance computing resources to small and medium businesses. It calls for the Department of Energy to include manufacturing tech that employs AI, network operation automation and monitoring of the energy used by buildings in its industrial research and training programs. There's also a nod to "smart manufacturing" in relation to industrial energy efficiency in the law. And AI models built using IoT sensor data from companies like Samsara promise to make factories more efficient or traffic smoother or safer. Google Cloud and even former Google AI alums are finding ways to serve the manufacturing sector with industry-specific tools that detect parts defects. ![]() Autodesk's software is a ubiquitous foundation of cloud-based construction design. Promising to make construction work faster, safer and more accurate, it allocates $20 million each year from 2022 through 2026 to fund the use of digital systems on construction sites such as automated and connected machinery.Ĭloud data and software vendors are already building the underpinnings of a manufacturing industry and transportation infrastructure fueled by data and automated technologies in the cloud. The law carves out funding that could have a direct effect on the day-to-day lives of the people building or repairing roads, bridges or other physical infrastructure. They do, however, show up in relation to climate change and advanced energy manufacturing. ![]() Though automated systems are mentioned many times in the language of the law, the terms "artificial intelligence" and "machine learning" make few appearances. AI for construction work, manufacturing and climate ![]() Still, despite some disappointment that the law does not direct more funds toward AI specifically, there are plenty of ways it will spur investment for emerging and sometimes unproven and controversial AI technologies. Effectively planning, designing and constructing these initiatives will indubitably require intelligent technologies at every step of the way." "Billions of dollars were allocated towards the rebuilding and repair of roads, bridges, public transit, rail, airports and wastewater facilities. "We would have liked to see more money being directed towards mandating the adoption of new technologies for capital infrastructure owners," said Balaji Sreenivasan, CEO of Aurigo Software Technologies, a company that provides enterprise software products used in large infrastructure projects. But overall, the legislation "is not a concerted push for AI," he said. "Nowadays you wouldn't be able to make a significant investment anywhere without touching on machine learning, AI and automated systems," he said. However, even though AI isn't core to the law, today's technology landscape demands that AI play a role, said Anton Korinek, a Brookings Institution fellow and professor in the Department of Economics and the Darden School of Business at the University of Virginia who studies the implications of AI for labor markets. At this stage, exactly how much of the law's $1.2 trillion will be used to invest in systems that employ automated decision making or AI cannot be known. The law could have a profound effect on how people drive and how they work, as it fuels all sorts of automated technology. And though they are not spotlighted, automated and artificial intelligence technologies are sprinkled throughout the highly-debated 2,700-page document. Now that the Infrastructure Investment and Jobs Act has been signed into law, billions of dollars will flow toward an array of technologies intended to upgrade the country's infrastructure, from automated construction machinery to AI to detect lithium for clean energy development. ![]()
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |