Exasol, a leading high performance analytics database company, launched the findings of its new study into the attitudes and understanding that young people currently in higher education or just entering the world of work have towards data. The study of 3,000 16- to 21-year-olds (coined D/NATIVES by Exasol because of their everyday digital skills) finds that despite over half of respondents believing that their ability to understand data will be as vital to their future as their ability to read and write — only 43% actually consider themselves to be data literate.
New Research Suggests Young Digital Natives Lack the Data Literacy Employers Crave — But Is It All a Big Misunderstanding?
March 28, 2021 by
ACM Issues Computing Competencies for Undergraduate Data Science Curricula
March 21, 2021 by
Recognizing the explosive growth of data science as a field, as well as the demand for data science training at the undergraduate level, a Data Science Task Force convened by the Association for Computing Machinery’s Education Board recently released “Computing Competencies for Undergraduate Data Science Curricula.” The ACM report seeks to define what the computing/computational contributions are to this new field, as well as to provide guidance on computing-specific competencies in data science for departments offering such programs of study at the undergraduate level.
Mistakes to Avoid When Starting a Career in Data Science
March 13, 2021 by
In this contributed article, IT and digital marketing specialist Natasha Lane, highlights how the shortage of data science talent is dramatic, but there are still a few mistakes you can make getting your foot in the door. These are the types of mistakes that can slow down your initial career progress, so the article covers them to help you make sure you’ll avoid the pitfalls.
How Third-party Data Can Enable Better Business Insights
February 25, 2021 by
Join this virtual event with Stephen Orban, author of Ahead in the Cloud and General Manager of AWS Data Exchange. He will lead a panel discussion with AWS customers to discuss the innovative techniques being used in data pipelines, with data analysis, and for data visualization. You will hear about real-world initiatives and breakthroughs being enabled by third-party data.
MIT Researchers Develop Neural Networks for Computational Chemistry Using SDSC, PSC Supercomputers
February 11, 2021 by
Even though computational chemistry represents a challenging arena for machine learning, a team of researchers from the Massachusetts Institute of Technology (MIT) may have made it easier. Using Comet at the San Diego Supercomputer Center at UC San Diego and Bridges at the Pittsburgh Supercomputing Center, they succeeded in developing an artificial intelligence (AI) approach to detect electron correlation – the interaction between a system’s electrons – which is vital but expensive to calculate in quantum chemistry.
Academia and Industry Meet to Reimagine the AI Graduate
February 4, 2021 by
In this contributed article, Alan Mc Glinchey, VP of Emerging Growth Companies at IDA Ireland, discusses how higher institutions are building out their course rosters as the AI talent gap spans new markets. In this area, Ireland has an innovative approach that has yielded a ready supply of AI talent in recent years.
12th JLESC Workshop to Be Held Feb. 24-26
January 25, 2021 by
The 12th annual Joint Laboratory for Extreme Scale Computing (JLESC) will be held virtually from Wednesday, Feb. 24 to Friday, Feb. 26. It will bring together researchers in high performance computing from the JLESC partners INRIA, the University of Illinois, Argonne National Laboratory, Barcelona Supercomputing Center, Jülich Supercomputing Centre, RIKEN R-CCS and The University of Tennessee to explore […]
Women in HPC: Jan. 20 Online Panel on Data, AI, Bias and Ethics
January 18, 2021 by
The Rocky Mountain Advanced Computing Consortium (RMACC) Women in HPC Chapter will host the second of a two-part program on Wednesday, Jan. 20, 1-2 p.m. ET, on problematic datasets, AI, bias and ethics. The presentation and panel discussion will investigate problematic practices of large-scale vision datasets, examining issues such as consent and justice, discussing the […]
Update from the Frontier of Exascale Software Development
January 5, 2021 by
In advance of the scheduled shipment this year of the U.S.’s first exascale supercomputer, Frontier, at Oak Ridge National Laboratory, an international team of software developers led by a University of Delaware professor is working on a plasma physics application. An article published yesterday in the university’s UDaily by Tracey Bryant details the work underway […]
Atos GPU-Accelerated Quantum System to the Irish Centre for High-End Computing
December 17, 2020 by
Dublin and Paris – 17 December 2020 – Atos today announces it will deliver its first GPU-accelerated Atos Quantum Learning Machine Enhanced (Atos QLM E), the world’s highest-performing commercially available quantum simulator, to the Irish Centre for High-End Computing (ICHEC). The Atos QLM E will be integrated with the Irish national supercomputer ‘Kay’ and equipped with […]
