Researchers Propose New Solution to Quantum Internet Transmission Problem

July 22, 2024

Getting intact qubits from here-to-there is the basic challenge for any quantum internet scheme. Now, scientists from the University of Chicago, Stanford Univer Read more…

Fermilab, UChicago Develop Low-cost, Fast Quantum Computer Control Kit

May 3, 2022

Control of quantum computers has always required fast, precise coordination between a traditional computer and the quantum computer. Mostly, these are custom sy Read more…

University of Chicago Researchers Generate First Computational Model of Entire SARS-CoV-2 Virus

January 15, 2021

Over the course of the last year, many detailed computational models of SARS-CoV-2 have been produced with the help of supercomputers, but those models have lar Read more…

ALCF and U Chicago Researchers Advance ‘Lithium Air’ Battery Technology

March 27, 2018

The lithium ion battery, which essentially transformed portable electronics, has been a tough act to follow. Last week, researchers from Argonne National Labora Read more…

NSF Awards $10M to Extend Chameleon Cloud Testbed Project

September 19, 2017

The National Science Foundation has awarded a second phase, $10 million grant to the Chameleon cloud computing testbed project led by University of Chicago with Read more…

Chameleon: Why Computer Scientists Need a Cloud of Their Own

May 5, 2016

Chameleon, the NSF-funded cloud testbed co-located at the University of Chicago and the Texas Advanced Computing Center, has been operating less than one year, Read more…

Is the City of the Future Finally Here?

October 21, 2014

Grid computing pioneer and big data visionary Charlie Catlett recently delivered a presentation on “Big Data and the Future of Cities” as part of the Argonn Read more…

NSF Rolls Out Innovative Cloud Testbeds

August 21, 2014

The National Science Foundation (NSF) announced funding for two cloud testbeds, named "Chameleon" and "CloudLab.” A total award of $20 million to be split eve Read more…

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From Hallucination to Reality

As Federal agencies navigate an increasingly complex and data-driven world, learning how to get the most out of high-performance computing (HPC), artificial intelligence (AI), and machine learning (ML) technologies is imperative to their mission. These technologies can significantly improve efficiency and effectiveness and drive innovation to serve citizens' needs better. Implementing HPC and AI solutions in government can bring challenges and pain points like fragmented datasets, computational hurdles when training ML models, and ethical implications of AI-driven decision-making. Still, CTG Federal, Dell Technologies, and NVIDIA unite to unlock new possibilities and seamlessly integrate HPC capabilities into existing enterprise architectures. This integration empowers organizations to glean actionable insights, improve decision-making, and gain a competitive edge across various domains, from supply chain optimization to financial modeling and beyond.

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Why IT Must Have an Influential Role in Strategic Decisions About Sustainability

Data centers are experiencing increasing power consumption, space constraints and cooling demands due to the unprecedented computing power required by today’s chips and servers. HVAC cooling systems consume approximately 40% of a data center’s electricity. These systems traditionally use air conditioning, air handling and fans to cool the data center facility and IT equipment, ultimately resulting in high energy consumption and high carbon emissions. Data centers are moving to direct liquid cooled (DLC) systems to improve cooling efficiency thus lowering their PUE, operating expenses (OPEX) and carbon footprint.

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