EuroHPC JU Awards Its First Industrial Grade Supercomputer to a Consortia Led by CINECA
$1,500.00
Authors: Mark Nossokoff and Bob Sorensen
Publication Date: December 202024
Length: 1 pages
The EuroHPC JU recently issued an award for its first industrial grade supercomputer, resulting from a call it issued in February 2024. With an eye towards meeting the security, confidentiality and data integrity needs of European industrial users, the award was issued to the Innovate consortium, led by CINECA and includes seven Italian industrial partners from a broad range of sectors. The JU will provide up to 35% of the acquisition costs, with the balance provided by consortia members.
Related Products
US Government Consortium Launches Quantum Network Research Project
The US government recently stood up a consortium of six Washington D.C.-based federal agencies to explore a range of quantum technologies necessary to create, demonstrate, and operate DC-QNet, a regional, multi-kilometer quantum network testbed. The six participating agencies span a range of US government mission agencies including the National Security Agency, the US Naval Research Laboratory, the National Institute of Standards and Technology, and the National Aeronautics and Space Administration. The program targets key underlying technologies needed to implement a metro[1]area quantum network that includes high-fidelity quantum memory, single photon devices, and related network metrology as well as mechanisms to support quantum entanglement between network nodes in a quantum computer. Details about project schedule and budget have not yet been made available, but each participating agency will be responsible for funding its research activities.
| HYP_Link
International Collaborators Create Guide for Understanding AI in Healthcare
Tom Sorensen, Alex Norton
During the recent conference held by the Special Interest Group on Knowledge Discovery and Data Mining held in Singapore, three international public science policy advocacy groups presented a guide, Using Artificial Intelligence to Support Healthcare Decisions, aimed at empowering and educating the public on the growing use of AI platforms in the healthcare decision-making process. The guide covers explanations of common applications of artificial intelligence platforms in healthcare and, more importantly, outlines specific questions one can pose to cut to the core of the efficacy and reliability of an AI platform in those applications.
9 202021 | HYP_Link