MIT News: New tools are available to help reduce the energy that AI models devour

MIT News: New tools are available to help reduce the energy that AI models devour. “The MIT Lincoln Laboratory Supercomputing Center (LLSC) is developing techniques to help data centers reel in energy use. Their techniques range from simple but effective changes, like power-capping hardware, to adopting novel tools that can stop AI training early on. Crucially, they have found that these techniques have a minimal impact on model performance.”

Meredith College: New Historical Marker to Recognize Work of Human Computers

Meredith College: New Historical Marker to Recognize Work of Human Computers. “An event celebrating a new historical marker in downtown Raleigh commemorating the women who worked as ‘human computers’ for the U.S. space program and military will be held on Friday, Sept. 22, 2023, at 10:30 a.m. at the North Carolina Museum of Natural Sciences. Meredith College alumnae are among the women whose work is recognized with this new marker.”

Florida State University: FSU’s ‘Art in STEM’ returns for ninth year with in-person and virtual exhibitions

Florida State University: FSU’s ‘Art in STEM’ returns for ninth year with in-person and virtual exhibitions. “The nearly two dozen works depict topics ranging from crystal growth to nanotechnology and chemical compounds and were created by students from the FSU departments of biological science, biomedical sciences, chemistry and biochemistry, mathematics, molecular biophysics, nutrition and integrative physiology, and scientific computing.”

Ars Technica: The mounting human and environmental costs of generative AI

Ars Technica: The mounting human and environmental costs of generative AI. “Over the past few months, the field of artificial intelligence has seen rapid growth, with wave after wave of new models like Dall-E and GPT-4 emerging one after another. Every week brings the promise of new and exciting models, products, and tools. It’s easy to get swept up in the waves of hype, but these shiny capabilities come at a real cost to society and the planet. Downsides include the environmental toll of mining rare minerals, the human costs of the labor-intensive process of data annotation, and the escalating financial investment required to train AI models as they incorporate more parameters.”

Tech Xplore: New algorithm based on the behavior of gulls improves edge computing

Tech Xplore: New algorithm based on the behavior of gulls improves edge computing. “The seagull algorithm encodes the migratory and attack behavior of gulls in such a way that it can be used to solve problems such as the assigning and routing of computational resources. The use of the simulated annealing algorithm in conjunction with the seagull algorithm will help the system avoid the local maximum and premature convergence problems, which are often the bane of other approaches to similar problems.” Not clear on edge computing? IBM has an overview.

MIT Sloan School of Management: The promise of edge computing comes down to data

MIT Sloan School of Management: The promise of edge computing comes down to data. “Cloud adoption has rocketed as companies seek computing and storage resources that can be scaled up and down in response to changing business needs. But even given the cost and agility upsides to cloud, there’s rising interest in yet another deployment model — edge computing, which is computing that’s done at or near the source of the data. It can empower new use cases, especially the innovative artificial intelligence and machine learning applications that are critical to modern business success.”

World’s Largest Computing Society Makes Thousands of Research Articles Freely Available; Opens First 50 Years Backfile (Association for Computing Machinery)

This launched in early April, and where was I? Off somewhere eating bon-bons, apparently. Anyway, from ACM: World’s Largest Computing Society Makes Thousands of Research Articles Freely Available; Opens First 50 Years Backfile. “ACM, the Association for Computing Machinery, today announced that its first 50 years of publications, from 1951 through the end of 2000, are now open and freely available to view and download via the ACM Digital Library. ACM’s first 50 years backfile contains more than 117,500 articles on a wide range of computing topics. In addition to articles published between 1951 and 2000, ACM has also opened related and supplemental materials including data sets, software, slides, audio recordings, and videos.”