Rapid Reads: Increasing the “Findability” of Biomedical Datasets

In a recent Scientific Data paper, a collaboration of systems biology researchers focused on infectious diseases created a metadata schema to improve biomedical data reuse that can also be applied to other research areas.

What the Experts Are Saying About ChatGPT

A PillarQ summary of the insights on ChatGPT and other conversational AI models disrupting our newsfeed

Archaeologists and Data Scientists Team Up to Unearth Ancient Building Practices

At Vanderbilt University, researchers use AI to analyze millions of images from ancient mortar samples from Caesarea, Israel, to understand the methods used by and interactions among local builders from the Roman Empire through the Middle Ages.

Rapid Reads: Resolving Larger Photon Numbers for Quantum Systems

Researchers at the University of Virginia and colleagues developed a method using transition-edge sensors to detect larger numbers of photons than the current standard for quantum systems—at the mesoscopic rather than microscopic scale.

Rapid Reads: New Hardware Technique for Quantum Error Mitigation

Researchers with Oak Ridge National Laboratory and Duke University have developed a scalable quantum error mitigation protocol for noisy-intermediate-scale quantum hardware. In this PIllarQ series, researchers answer three quick questions about their latest results.

AI Tech for Breast Cancer Screening: From Lab to Market with UT Dallas

A UT Dallas team developed AI technology for breast cancer screening to reduce bias, detect cancer features earlier, and assist radiologists.

Ohio Supercomputer Center Celebrates AI Advances as Part of 35-Year Anniversary

In December 2022, the OSC celebrated its 35th anniversary “at the forefront of technology.” Today, the forefront of technology includes emerging fields like AI.

featured categories


Qubits Put New Spin on Magnetism, Boosting Applications of Quantum Computers

Research at Los Alamos National Laboratory using a quantum computer as the physical platform for quantum experiments has found a way to design and characterize tailor-made magnetic objects using quantum bits, or qubits. That opens up a new approach to develop new materials and robust quantum computing.

An Innovative Twist on Quantum Bits

Scientists at Argonne National Laboratory and collaborators have found that a tubular nanomaterial of carbon makes an ideal host to keep quantum bits spinning in place for use in quantum information technologies.

Discovery of the ‘Bubble Phase of Composite Fermions’ Confirms Existence of a New Family of Quantum Matter

Physicists at Purdue University and collaborators have discovered the first in a new family of matter at the quantum scale. Dubbed the bubble phase of composite fermions, these pairs of quasiparticles – particle-like entities arising from the interaction of particles – align in a crystalline pattern, allowing electricity to flow along the edge of the material.

artificial intelligence

Self-Driven Laboratory, AlphaFlow, Speeds Chemical Discovery

A team of chemical engineering researchers led by NC State University has developed a self-driven lab using artificial intelligence that is capable of identifying and optimizing new complex multistep reaction routes for the synthesis of advanced functional materials and molecules.

University of Central Florida Researcher Receives DOE Funding to Advance Human Understanding of AI Reasoning

The project focuses on developing algorithms to create robust multi-modal explanations for foundation, or large, AI models through the exploration of several novel explainable AI methods.

Machine Learning Model Speeds Up Assessing Catalysts for Decarbonization Technology

Researchers at Argonne National Laboratory report developing an artificial intelligence-based model to speed up the process for engineering a low-cost catalyst based on molybdenum carbide.

data science

Underused Satellite, Radar Data May Improve Thunderstorm Forecasts

A new technique combining underused satellite and radar data in weather models may improve thunderstorm predictions, according to a Penn State-led team of scientists.

New Method Accelerates Data Retrieval in Huge Databases

Researchers led by MIT used machine learning to build faster and more efficient hash functions, which are a key component of databases.

DOE Requests Proposals from Office of Science National Laboratories to Lead the High Performance Data Facility

The U.S. Department of Energy announced a call for proposals to lead the High Performance Data Facility, a project to create a new scientific user facility specializing in advanced infrastructure for data-intensive science.

recommended articles

Merging Edge Devices and AI with Supercomputing Climate Simulations

From SC22, an Interview with the NASA Center for Climate Simulation

A Year of Quantum Information Science on NERSC’s Perlmutter

In 2022, Berkeley Lab’s NERSC computing center dedicated time on its new supercomputer to advance the emerging field of QIS. Now, the science results are starting to come in.

Quantum Computing Users Work Alongside Top Classical Supercomputers

A PillarQ interview with Travis Humble, director of the Quantum Computing User Program at Oak Ridge National Lab

sign up for our mailing list to stay in the loop

This field is for validation purposes and should be left unchanged.