March 22, 2023
Green Intelligence: Why Data And AI Must Become More Sustainable
Forbes Innovation Enterprise Tech Green Intelligence: Why Data And AI Must Become More Sustainable Bernard Marr Contributor Opinions expressed by Forbes Contributors are their own. Following Mar 22, 2023, 03:28am EDT | Press play to listen to this article! Got it! Share to Facebook Share to Twitter Share to Linkedin As big data, machine learning, and Artificial intelligence continue to gain prominence in information technology, experts are raising concerns about the environmental costs of computation — primarily data and AI’s carbon footprint and greenhouse gas emissions. Green Intelligence: Why Data And AI Must Become More Sustainable Adobe Stock The problem is showing no signs of slowing down. As a result of the COVID-19 pandemic, data and AI deployment increased exponentially as the demand for digital transformation increased. MIT reported that the cloud now has a larger carbon footprint than the entire airline industry, and a single data center might consume an amount of electricity equivalent to 50,000 homes. Meanwhile, the datasets used to train AI are increasingly large and take an enormous amount of energy to run. The MIT Technology Review reported that training just one AI model can emit more than 626,00 pounds of carbon dioxide equivalent – which is nearly five times the lifetime emissions of an average American car. Let's take a look at why it's important for enterprises to address how data storage and AI are contributing to greenhouse gas emissions and what we can do to mitigate the impacts of this ongoing problem. Why We Must Address This Problem MORE FOR YOU Meet The Unknown immigrant Billionaire Betting Her Fortune To Take On Musk In Space Arkansas Gov. Signs Law Banning Transgender People From Using Bathrooms Matching Their Gender Identity In Public Schools Four Elements Of Healthcare Industry Leadership: Forbes China Summit Sanjay Podder, managing director and global lead of technology sustainability innovation at Accenture, says that the exponential growth in data and its increased energy demand could actually counteract and impede our global progress on climate change. Right now, the AI community has adopted a “bigger is better” attitude regarding data and artificial intelligence – but that approach threatens to inflict major environmental damage in the future. Tech experts will need to expend greater and greater amounts of energy to build increasingly larger models, with decreasing improvements in performance. For example, the AI that underlies autonomous vehicles must be trained to learn to drive. Once the initial training is complete, the AI model in the autonomous vehicle performs continuous inference so it can navigate its environment. This process happens day after day as long as we are using the vehicle. That's a lot of energy requirements just for one car. We need bold, thoughtful initiatives to set the field of AI on a more sustainable trajectory. Suggestions for Tackling AI’s Sustainability Impact What can enterprise companies do to mitigate the environmental impacts of AI and big data while still driving forward with innovation? Here are a few data sustainability suggestions: Consider how environmental impact is measured. We need to improve carbon accounting by delivering faster, more accurate data on carbon footprints and sustainability impacts. Tools like Salesforce’s Net Zero Cloud, SustainLife, and Microsoft Cloud for Sustainability can help companies visualize and understand their missteps so they can spot opportunities for improvement. Estimate carbon footprints of AI models. The Machine Learning Emissions Calculator can help practitioners run estimations based on factors like cloud provider, geographic region, and hardware. Examine how and where data is stored. Some of the biggest machine learning jobs might be moved to more carbon-friendly regions of the world. For example, Montreal, Canada has a number of data centers that run on hydroelectricity. Increase transparency and measurement. As AI researchers publish their results for new models, they should include measurements of how much energy was emitted in their model, right alongside their performance and accuracy metrics. Follow Google’s “4M” best practices. Google has identified four best practices, known as the "4Ms," that can significantly reduce energy and carbon emissions for anyone using Google Cloud services. These include selecting efficient machine learning model architectures, using processors and systems optimized for ML training, computing in the cloud rather than on-premise, and map optimization to choose locations with the cleanest energy. By following these practices, Google claims, energy can be reduced by 100x and emissions by 1000x. How to Work Toward New AI Paradigms As we continue to see the accelerated adoption of AI and machine learning technologies into our society, we must consider what these tools and systems are doing to our environment. Unless we are willing to reform today’s AI research agenda and increase transparency around this issue, the world of AI could hold us back in the fight to slow down climate change. To stay on top of the latest on new and emerging business and tech trends, make sure to subscribe to my newsletter , follow me on Twitter , LinkedIn , and YouTube , and check out my books ‘ Future Skills: The 20 Skills And Competencies Everyone Needs To Succeed In A Digital World ’ and ‘ Business Trends in Practice , which won the 2022 Business Book of the Year award. Follow me on Twitter or LinkedIn . Check out my website or some of my other work here . Bernard Marr Editorial Standards Print Reprints & Permissions
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SkyPixel 9th Annual Photo & Video Contest Winners Announced
Mar 19, 2024
Competition Receives a Record Number of Submissions that Highlight the Power of Innovation SHENZHEN, China, March 19, 2024 /PRNewswire/ -- SkyPixel, one of the world's most popular online communities for aerial photography and videography, today announces the winners of the SkyPixel 9th Annual Photo & Video Contest. Co-organized with DJI, this year's competition attracted over 130,000 submissions – a 100% increase from the previous year. The contest welcomed submissions from across the creator community, which includes professionals, aerial enthusiasts, and creative newcomers, showcasing their personal histories through the art of visual innovation. A Contest Shaped by You The SkyPixel Annual Photo & Video Contest is a testament to the power of innovation led imagery, honoring stories that shape the art of image capture both on solid ground and amidst the clouds. SkyPixel has cultivated a community-driven platform that reflects the dreams and aspirations of creators worldwide, and the annual competition has been a conduit for people who love image creation to express themselves as it authentically reflects the desires and aspirations of creators worldwide. Industry-Leading Judges The 9th Annual Photo & Video Contest was assessed by a Judging Panel of incredible professionals in the industry. In photography, seasoned experts include Wen Huang, a World Press Photo judge and Senior Editor, and Anne Farrar, Assistant Photography Chief Editor at National Geographic, Nan Li, the Photo Director of Southern Weekly, and Daniel Kordan, a renowned landscape photographer. In the video category, the judges include Michael Fitzmaurice, the Aerial Director of Photography of "Jumanji: Welcome to the Jungle," and Xiaoshi Zhao, known for his award-winning work on "Forever Enthralled." Bing Xi, a prominent figure in the Chinese TVC industry, and celebrated filmmaker Brandon Li round out the panel. After careful deliberation, the panel proudly presents the final winners for the year. 9th Annual Best Work Prize – Video: "Haines Alaska Through the Eyes of Luke Bredar" by Luke Bredar This year's video judging panel, which includes award-winning Cinematographers and Directors of Photography, chose Luke Bredar's video, "Haines Alaska Through the Eyes of Luke Bredar." This short film mixes heart-pounding action shots of a skier racing down a snowy mountaintop landscapes with breathtaking shots of Alaska's mountainous, winter terrain. Luke Bredar details the thought process behind the short film, "The motivation behind creating this video was to evoke themes of otherworldliness, objective risk, the interplay between risk and the essence of human spirit, solitude, impermanence, self-sufficiency, and the journey of incomplete wandering intertwined with heartbreak." This short film is an epic story made in collaboration with Matchstick Productions. Bredar explains how he pursues a better visual presentation through his creative process "I think to myself. How would my child self want to see this filmed? And I almost always get a clear vision in response. There are a myriad of challenges shooting aerial cinematography in mountain environments, but they are all ...Full story available on Benzinga.com
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