Navigating the complexities of scientific research often involves juggling large data sets, multiple tools, and specialized software–especially in the realm of high performance computing (HPC). In an environment where the lack of reproducibility in scientific studies is a growing concern, tools that enhance accuracy and consistency are invaluable. In the Ebbert Lab, a part of […]
Predicting extreme weather events allows governments to issue safety announcements and warnings and arrange evacuations. As a result, thousands of lives can be saved. Thankfully, extreme weather events don’t happen very often, although the US is one of the most affected countries in the world. As severe weather can be so dangerous, various technologies can be […]
Here are five papers from the Quantum Science Center (ORNL), Intel, the University of Science and Technology of China, the Quantum Information Sciences Section (ORNL) and University College Dublin that tackle the topics above. All were posted to arXiv in July. The steady flow of papers tackling quantum computing, even through the summer, is impressive. […]
The data centers and high-performance computers that run artificial intelligence programs, such as large language models, aren’t limited by the sheer computational power of their individual nodes. It’s another problem — the amount of data they can transfer among the nodes — that underlies the “bandwidth bottleneck” that currently limits the performance and scaling of […]
New research revealing how honeybees can make fast and accurate decisions, which could help to design more efficient robots and autonomous machines, has been published by scientists at the University of Sheffield. The post Honeybees Make Rapid, Accurate Decisions and Could Inspire Future of AI, Study Suggests appeared first on HPCwire.
Transcription factor IIH, or TFIIH, pronounced “TF two H,” is a veritable workhorse among the protein complexes that control human cell activity. It plays critical roles both in transcription — the highly regulated enzymatic synthesis of RNA from a DNA template — and in the repair of damaged DNA. But how can one protein assembly […]
A research team from the University of California, Santa Cruz, have used the Oak Ridge Leadership Computing Facility’s Summit supercomputer to run one of the most complete cosmological models yet to probe the properties of dark matter — the hypothetical cosmic web of the universe that largely remains a mystery some 90 years after its existence […]
New theoretical research proves that machine learning on quantum computers requires far simpler data than previously believed. The finding paves a path to maximizing the usability of today’s noisy, intermediate-scale quantum computers for simulating quantum systems and other tasks better than classical digital computers, while also offering promise for optimizing quantum sensors. The post LANL […]
As artificial intelligence (AI), machine learning (ML), and simulation revolutionize the way humans process and predict information, Ansys Chief Technology Officer Dr. Prith Banerjee explains how better, faster decisions are made possible when these transformational sciences align. The post How Artificial Intelligence, Machine Learning, and Simulation Work Together appeared first on HPCwire.
A new theoretical study provides a framework for understanding nonlocality, a feature that quantum networks must possess to perform operations inaccessible to standard communications technology. By clarifying the concept, researchers determined the conditions necessary to create systems with strong, quantum correlations. The post UIUC Researchers Establish Criterion for Nonlocal Quantum Behavior in Networks appeared first […]
