An interdisciplinary team of researchers led by the University of Massachusetts Amherst recently published work in the prestigious journal Science calling into question the conclusions of a widely reported study — published in Science in 2023 and funded by Meta — finding the social platform’s algorithms successfully filtered out untrustworthy news surrounding the 2020 election and were not major drivers of misinformation.
Team Led by UMass Amherst Debunks Research Showing Facebook’s News-Feed Algorithm Curbs Election Misinformation
October 2, 2024 by
Meta in Launch of Energy Storage Solutions Consortium for Carbon Reduction
September 16, 2022 by
Meta has joined the Energy Storage Solutions Consortium, whose mission is to cut greenhouse gas (GHG) emissions via adoption of electricity storage technologies — i.e., batteries. The goal is to create an open-source, third-party-verified methodology to quantify grid-connected energy storage projects and “to help add a tool for organizations to create credible progress toward their […]
Meta Picks AWS as Strategic AI Cloud Provider
December 6, 2021 by
Amazon Web Services has announced that Meta (formerly Facebook) has deepened its relationship with AWS as a strategic cloud provider, using AWS’s cloud infrastructure to complement its on-premises infrastructure, and will broaden its use of AWS compute, storage, databases, and security services for scale in the cloud. Meta said it will run third-party collaborations in […]
Facebook and the Power of Big Data and Greedy Algorithms
April 23, 2021 by
In this contributed article, Dr. Chirag Shah, associate professor in the Information School at the University of Washington, highlights how experts say Facebook has the power to squash its competition, steer American politics, and even influence users’ free will. Is Facebook violating the ethical constraints of data collection? Is the algorithm taking on a life of its own?
MLPerf Releases Over 500 Inference Benchmarks
November 6, 2019 by
Today the MLPerf consortium released over 500 inference benchmark results from 14 organizations. “Having independent benchmarks help customers understand and evaluate hardware products in a comparable light. MLPerf is helping drive transparency and oversight into machine learning performance that will enable vendors to mature and build out the AI ecosystem. Intel is excited to be part of the MLPerf effort to realize the vision of AI Everywhere,” stated Dr Naveen Rao, Corp VP Intel, GM AI Products.
Podcast: Modernizing the Electric Grid with HPC
February 15, 2019 by
In this podcast, the Radio Free HPC team looks at how Lawrence Livermore National Lab is working to simulate and help modernize the electric grid. They discuss how the ‘new grid’ will need to be two-way, both delivering and accepting electricity. The new grid will also have to communicate with smart homes and other buildings in order to predict demand and adjust real time pricing.
Radio Free Noodles on Remarkable in Growth in the HPC Server Market
October 1, 2018 by
In this podcast, the Radio Free HPC team looks at remarkable growth in the HPC Server Market reported by Hyperion Research. “Hyperion Research reports that worldwide factory revenue for the HPC technical server market jumped 27.6% to $3.7 billion in the second quarter of 2018 (2Q18), up from $2.9 billion in the same period of 2017, according to the newly released Hyperion Research Worldwide High-Performance Technical Server QView.”
Radio Free HPC Looks at how How Blockchain Could Prevent Fake News
October 16, 2017 by
In this podcast, the Radio Free HPC team looks at Henry Newman’s recent proposal to use Blockchain as a way to combat Fake News. Henry shares that this rant result from what he saw as an egregious story that was going around that could have been easily quashed.
