Sustainable AI - Standards, Current Practices and Recommendations

Banipal, Indervir Singh; Asthana, Shubhi; Mazumder, Sourav

doi:10.1007/978-3-031-47454-5_21

Cited by 2 publications

(1 citation statement)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To overcome this drawback and pave the way for environmentally friendly real-time computer vision (CV) systems, we are using the insights of Sustainable IT 1 and green artificial intelligence (Green AI), 2 to create more sustainable and environmentally sound real-time computer vision systems. 3 In this paper, we explore the intersection of Sustainable IT, Green AI, and real-time computer vision by examining whether the use of single-board computers (SBCs) could replace an industry-standard computer vision computing setup. Despite their limitations, SBCs, together with optimization of algorithms and data, can achieve high-quality results with less computational effort, improve energy efficiency, and reduce dependence on a permanent power supply.…”

Section: Introductionmentioning

confidence: 99%

Advancing green computer vision: principles and practices for sustainable development for real-time computer vision applications

Kramer,

Roth

2024

Real-Time Processing of Image, Depth, and Video Information 2024

View full text Add to dashboard Cite

Recent algorithmic developments, specifically in deep learning, have propelled computer vision forward for practical applications. However, the high computational complexity and the resulting power consumption are often overlooked issues. This is not only a problem if the systems need to be installed in the wild, where often only a limited electricity supply is available, but also in the context of high energy consumption. To address both aspects, we explore the intersection of green artificial intelligence and real-time computer vision, focusing on the use of single-board computers. To this end, we need to take into account the limitations of single-board computers, including limited processing power and storage capacity, and demonstrate how the algorithm and data optimization ensure high-quality results, however, at a drastically reduced computational effort. Energy efficiency can be increased, aligning with the goals of Green AI and making such systems less dependent on a permanent electrical power supply.

show abstract

Section: Introductionmentioning

confidence: 99%

Advancing green computer vision: principles and practices for sustainable development for real-time computer vision applications

Kramer,

Roth

2024

Real-Time Processing of Image, Depth, and Video Information 2024

View full text Add to dashboard Cite

show abstract

Implementing Artificial Intelligence and Virtual Experiences in Hospitality

Talukder

2024

Advances in Hospitality, Tourism, and the Services Industry

View full text Add to dashboard Cite

AI and virtual experiences have revolutionized the hotel and tourism business, offering new opportunities to improve visitor experiences, speed up processes, and increase customer satisfaction. Technology is transforming hospitality to boost efficiency and innovation in this fast-paced environment. Hotel websites and mobile apps need chatbots and virtual assistants to handle bookings, inquiries, and personalized advice efficiently. Virtual tours show hotels, facilities, and neighborhood activities to assist travelers in their choices. Travel businesses highlight destinations and provide customers with virtual tours before leaving. AI algorithms use demand, seasonality, and local events to improve hotel prices and revenue management. AI concierges offer real-time help and individualized recommendations. AI and virtual experiences are revolutionizing hotel administration and tourism, improving efficiency, guest satisfaction, and hospitality. Businesses that adopt these technologies stay ahead of the hotel industry and satisfy modern customers.

show abstract

Sustainable AI - Standards, Current Practices and Recommendations

Cited by 2 publications

References 22 publications

Advancing green computer vision: principles and practices for sustainable development for real-time computer vision applications

Advancing green computer vision: principles and practices for sustainable development for real-time computer vision applications

Implementing Artificial Intelligence and Virtual Experiences in Hospitality

Contact Info

Product

Resources

About