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Articles tagged with "Robotics and AI"

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Municipalities tap AI for permitting
Municipalities tap AI for permitting

Los Angeles and Austin are employing artificial intelligence to reduce wait times for municipal permits. Additionally, Honolulu is planning to make significant improvements and offer faster responses. This marks a shift towards using technology to enhance efficiency in the permitting process.

Fleet managers turning to AI for safety insights
Fleet managers turning to AI for safety insights

Fleet managers are increasingly using AI, specifically Geotab's Generative AI assistant, to gain insights into driver safety and performance. The most used prompts focus on identifying safe drivers and tracking safety improvements rather than penalizing poor performance. A majority of drivers support the use of technology to enhance driving performance, and over 1,500 companies now use this AI solution. This approach reflects a shift towards a supportive and coaching mindset in fleet management.

How AI and smart systems can secure Canada’s energy sovereignty
How AI and smart systems can secure Canada’s energy sovereignty

The article discusses the need for Canada to modernize its outdated energy infrastructure, highlighting the potential role of artificial intelligence (AI) and smart systems in enhancing energy security. By implementing AI-powered digital twins and using advanced analytics, Canada can enhance energy production, optimize storage, and improve infrastructure planning. These advancements in intelligent systems aim to address inefficiencies, integrate renewable sources, and solidify Canada's leadership in the global energy market.

How the Texas DOT uses AI
How the Texas DOT uses AI

The Texas Department of Transportation is leveraging artificial intelligence in 22 areas of its operations. These include predictive analysis of traffic data and crash detection. The use of AI is also being explored for prioritizing infrastructure projects.

German Bionic unveils ‘AI augmented’ exoskeleton
German Bionic unveils ‘AI augmented’ exoskeleton

German Bionic has launched a new exoskeleton enhanced with artificial intelligence, designed specifically to ensure worker safety. This wearable technology uses digital twins and AI to provide real-time monitoring and coaching for users. The integration aims to improve workplace safety and efficiency by offering supportive feedback to workers.

Amazon planning $10B investment in North Carolina for data center and AI campus
Amazon planning $10B investment in North Carolina for data center and AI campus

Amazon is planning a $10 billion investment in North Carolina to develop a data center and artificial intelligence campus. This project will significantly bolster the region’s economy, which has struggled since the decline of textile and apparel industries. The new campus will focus on expanding Amazon's capabilities in cloud computing and AI infrastructure.

Brookfield Asset Management to Invest US$10B in Swedish Data Centre Project
Brookfield Asset Management to Invest US$10B in Swedish Data Centre Project

Brookfield Asset Management plans to invest US$10 billion in developing an artificial-intelligence data-centre project in Sweden, marking one of its largest European AI ventures. The facility in Strängnäs will expand its capacity from 300MW to 750MW and is expected to create over 3,000 jobs, including 2,000 construction-related positions. This project is part of Sweden's national AI strategy and aims to build critical infrastructure beyond data centres. Brookfield is a significant investor in the AI value chain, having recently announced a large AI infrastructure initiative in France.

Time for construction to accept the inevitable growth of AI
Time for construction to accept the inevitable growth of AI

The construction industry is being urged to embrace the growing influence of artificial intelligence (AI), as early adopters and software firms highlight its transformative potential. AI is not only enhancing efficiencies but also changing the fundamental ways in which buildings are constructed, projects are managed, and challenges are addressed. Industry experts advocate that AI will be a revolutionary force, reshaping collaboration and construction problem-solving.

Contractors tout tech as AI arms race continues
Contractors tout tech as AI arms race continues

Construction companies are increasingly turning to artificial intelligence technologies to enhance training for employees and address various business challenges. The use of AI is becoming a key strategy in the industry to improve efficiency and problem-solving capabilities. This trend highlights the competitive drive among large builders to integrate advanced tech solutions. The emphasis on AI underscores its transformative potential in reshaping construction practices.

Building designers can now AI predict embodied carbon in real time
Building designers can now AI predict embodied carbon in real time

The article discusses a new AI tool that allows building designers to predict embodied carbon levels in real time during the design stage of a project. Embodied carbon is a significant component of a building's total CO2 emissions throughout its lifecycle. Accurately assessing this carbon footprint has been challenging without the right technology, but this innovation aims to provide more precision and usability in design assessments. Anna Beckett from Buro Happold highlights the potential impact of this tool in achieving more sustainable building practices.

For AI, data is king: FutureTech presenters
For AI, data is king: FutureTech presenters

Experts at FutureTech emphasize that the effectiveness of AI applications is heavily dependent on the quality and volume of data they process. Despite numerous AI tools emerging in the market, their value hinges on the data inputs. High-quality data is crucial for reliable AI results, making data management a key focus for success in AI technology.

What is holding up AI adoption for businesses?
What is holding up AI adoption for businesses?

EPAM Systems' report highlights challenges in AI adoption for businesses, including a disconnect between perception and reality in AI implementation. Despite many companies rating themselves as advanced in AI, only a fraction have successfully launched AI use cases. AI investments are increasing, but the transition from experimentation to enterprise-wide deployment remains difficult. Success relies on aligning technology with business goals, and cultivating strong governance, talent, and security frameworks.

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