Dec. 2, 20224 — For applicants and recipients of Department of Energy (DOE) financial assistance and loan funding, a newly published “Research Technology and Economic Security Framework” highlights DOE’s goals, process, high-level risk factors, and commitment to mitigation when assessing RTES risk. This framework codifies a harmonized approach across all DOE/NNSA funding offices, while also […]
Research Highlights: Pen and Paper Exercises in Machine Learning
October 8, 2022 by
In this regular column we take a look at highlights for breaking research topics of the day in the areas of big data, data science, machine learning, AI and deep learning. For data scientists, it’s important to keep connected with the research arm of the field in order to understand where the technology is headed. Enjoy!
Best of arXiv.org for AI, Machine Learning, and Deep Learning – November 2021
December 17, 2021 by
In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.
Best of arXiv.org for AI, Machine Learning, and Deep Learning – July 2021
August 16, 2021 by
In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.
QPM Address Medical Life Sciences Challenges
December 23, 2020 by
In this sponsored post from our friends over at Quanta Cloud Technology (QCT), review how QCT brings out the concept called QCT Platform on Demand (QCT POD), which is a converged framework with a flexible infrastructure for customers running different workloads. Under this concept, QCT develops the QCT POD for Medical (QPM) that is an on-premise rack-level system with common building blocks designed to provide greater flexibility and scalability, aimed to meet different medical workload demands using HPC and DL technologies, including Next Generation Sequencing (NGS), Molecular Dynamics (MD), and Medical Image Recognition.
Research Highlights: Attention Condensers
August 27, 2020 by
A group of AI researchers from DarwinAI and out of the University of Waterloo, announced an important theoretical development in deep learning around “attention condensers.” The paper describing this important advancement is: “TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices,” by Alexander Wong, et al. Wong is DarwinAI’s CTO.
Research for New Technology Using Supercomputers
August 31, 2016 by Leave a Comment
This paper presents our approach to research and development in relation to four applications in which utilization of simulations in super-large-scale computation systems is expected to serve useful purposes.
Dell HPC General Research Computing
August 31, 2016 by Leave a Comment
This white paper provides information on the latest Dell HPC General Research Computing Solution based on the Dell 13th Generation servers. The solution supports new generation Intel Xeon E5-2600 v3 based PowerEdge servers targeted to provide optimal performance and dense compute power.
insideBIGDATA Guide to Scientific Research
June 25, 2015 by
Daniel Gutierrez, Managing Editor, of insideBIGDATA has put together a terrific Guide to Scientific Research. The goal of this paper is to provide a road map for scientific researchers wishing to capitalize on the rapid growth of big data technology for collecting, transforming, analyzing, and visualizing large scientific data sets.
How HPC is increasing speed and accuracy
May 14, 2015 by
The overwhelming task of high performance computing today is the processing of huge amounts of data quickly and accurately. Just adding greater numbers of more intensive, sophisticated servers only partially solves the problem.
