Computer scientists from the University of Bonn have developed software that can look a few minutes into the future: The program first learns the typical sequence of actions, such as cooking, from video sequences. Based on this knowledge, it can then accurately predict in new situations what the chef will do at which point in…
A System Purely for Developing High-performance, Big Data Codes
Computer scientists from Rice University’s DARPA-funded Pliny Project believe they have the answer for every stressed-out systems programmer who has struggled to implement complex objects and workflows on ‘big data’ platforms like Spark and thought: “Isn’t there a better way?” Rice’s PlinyCompute will be unveiled here Thursday at the 2018 ACM SIGMOD conference. In a…
NSF Supports Development of New Nationwide Data Storage Network
The National Science Foundation (NSF) is announcing a $1.8 million grant for the initial development of a data storage network over the next two years. A collaborative team will combine their expertise, facilities and research challenges to develop the Open Storage Network (OSN). OSN will enable academic researchers across the nation to work with and share their…
Virtual Brain Gives Insights into Memory Deficits in Depression
During a depressive episode the ability of the brain to form new brain cells is reduced. Scientists of the Ruhr-Universität Bochum examined how this affects the memory with a computational model. It was previously known that people in an acute depressive episode were less likely to remember current events. The computational model however suggests that…
Powerful New Tools for Exploring and Healing the Human Brain
Today’s most widely used medical imaging technologies have significant limitations when applied to the human brain. Traditional CT and MRI scans, for example, provide useful information about the bones and the blood vessels in the brain, but very little about neurons and other soft tissues. As a result, the most complex and important interactions within…
Device Allows a Personal Computer to Process Huge Graphs
In data-science parlance, graphs are structures of nodes and connecting lines that are used to map scores of complex data relationships. Analyzing graphs is useful for a broad range of applications, such as ranking webpages, analyzing social networks for political insights, or plotting neuron structures in the brain. Consisting of billions of nodes and lines,…
Supercomputer Technology is Helping Unlock the Mystery of Medieval Graffiti
Visitors to San Marco Basilica in Venice, Italy are likely to feel a sense of awe: the sheer mass of the thousand-year-old structure and the details of its ostentatious decoration are undeniably impressive. But Mia Trentin, a postdoctoral fellow with the Cyprus Institute, an international partner of the National Center for Supercomputing Applications (NCSA) at Illinois, hasn’t…
Time Crystals May Hold Secret to Coherence in Quantum Computing
An Aalto University study has provided new evidence that time crystals can physically exist – a claim currently under hot debate. A time crystal is a structure that does not repeat in space, like normal three-dimensional crystals such as snowflakes or diamonds, but in time. In practice this means that crystals constantly undergo spontaneous change,…
Tunable Diamond String may Hold Key to Quantum Memory
A quantum internet promises completely secure communication. But using quantum bits or qubits to carry information requires a radically new piece of hardware – a quantum memory. This atomic-scale device needs to store quantum information and convert it into light to transmit across the network. A major challenge to this vision is that qubits are…
Apollo Hospitals Adopts IBM Watson to Help Physicians Make Data-Driven Cancer Care Decisions
IBM (NYSE: IBM) and Apollo Hospitals – India’s largest specialty healthcare systems – today announced that Apollo will adopt Watson for Oncology and Watson for Genomics. The two IBM cognitive computing platforms will help physicians provide patients with personalized, evidence-based cancer care. This agreement is the first-of-its kind Watson for Oncology & Watson for Genomics deployment…
New Algorithm More Accurately Predicts Life Expectancy After Heart Failure
A new algorithm developed by UCLA researchers more accurately predicts which people will survive heart failure, and for how long, whether or not they receive a heart transplant. The algorithm would allow doctors to make more personalized assessments of people who are awaiting heart transplants, which in turn could enable health care providers to make…
Supercomputing the Emergence of Material Behavior
What makes kevlar stop a bullet, at the atomic level? The properties of materials emerge from their molecular or atomic structure, yet many details between the micro and the macro remain a mystery to science. Scientists are actively researching the rational design of targeted supramolecular architectures, with the goal of engineering their structural dynamics and…
Extending High Accuracy Quantum Chemistry Calculations with HPC
Researchers at the Argonne National Laboratory recently performed the largest, and most accurate calculation of a metal organic framework system that was ever done. What made this possible was the Theta supercomputer at the Argonne Leadership Computing Facility (ALCF) with the latest generation processors that incorporated extra memory on the chip to aid in memory…
Deeper Understanding of Quantum Chaos may be the Key to Quantum Computers
New research gives insight into a recent experiment that was able to manipulate an unprecedented number of atoms through a quantum simulator. This new theory could provide another step on the path to creating the elusive quantum computers. An international team of researchers, led by the University of Leeds and in cooperation with the Institute…
TACC Builds Seamless Software for Scientific Innovation
Big, impactful science requires a whole technological ecosystem to progress. This includes cutting-edge computing systems, high-capacity storage, high-speed networks, power, cooling… the list goes on and on. Critically, it also requires state-of-the-art software: programs that work together seamlessly to allow scientists and engineers to answer tough questions, share their solutions, and conduct research with the…
Integrating Optical Components into Existing Chip Designs
Two and a half years ago, a team of researchers led by groups at MIT, the University of California at Berkeley, and Boston University announced a milestone: the fabrication of a working microprocessor, built using only existing manufacturing processes, that integrated electronic and optical components on the same chip. The researchers’ approach, however, required that the…
Researchers Find Combination For Small Data Storage and Tinier Computers
Researchers Develop Nanoparticle Films for High-density Data Storage
As we generate more and more data, the need for high-density data storage that remains stable over time is becoming critical. New nanoparticle-based films that are more than 80 times thinner than a human hair may help to fill this need by providing materials that can holographically archive more than 1000 times more data than…
Satellites, Supercomputers and Machine Learning Provide Real-time Crop Type Data
Corn and soybean fields look similar from space – at least they used to. But now, scientists have proven a new technique for distinguishing the two crops using satellite data and the processing power of supercomputers. “If we want to predict corn or soybean production for Illinois or the entire United States, we have to…
Photonic Communication Comes to Computer Chips
With novel optoelectronic chips and a new partnership with a top silicon-chip manufacturer, MIT spinout Ayar Labs aims to increase speed and reduce energy consumption in computing, starting with data centers. Backed by years of research at MIT and elsewhere, Ayar has developed chips that move data around with light but compute electronically. The unique…
Satellites, Supercomputers, and Machine Learning Provide Real-Time Crop Type Data
Corn and soybean fields look similar from space – at least they used to. But now, scientists have proven a new technique for distinguishing the two crops using satellite data and the processing power of supercomputers. “If we want to predict corn or soybean production for Illinois or the entire United States, we have to…
Supercomputer Simulations Shed Light on the Heliospheric Interface
Dr. Nikolai Pogorelov is a professor in UAH’s Department of Space Science and a researcher with UAH’s Center for Space Plasma and Aeronomic Research. His co-authored paper shows that the disruption of the heliopause can be attributed to magnetohydrodynamic instability, possibly accompanied by magnetic reconnection. “Three-dimensional Features of the Outer Heliosphere Due to Coupling between…
Computer Searches Telescope Data for Evidence of Distant Planets
As part of an effort to identify distant planets hospitable to life, NASA has established a crowdsourcing project in which volunteers search telescopic images for evidence of debris disks around stars, which are good indicators of exoplanets. Using the results of that project, researchers at MIT have now trained a machine-learning system to search for…
Golden Touch: Next-gen Optical Disk to Solve Data Storage Challenge
Scientists from Australia and China have drawn on the durable power of gold to demonstrate a new type of high-capacity optical disk that can hold data securely for more than 600 years. The technology could offer a more cost-efficient and sustainable solution to the global data storage problem while enabling the critical pivot from Big…
Los Alamos Releases File Index Product to Software Community
Resolving the supercomputer challenge of searching and retrieving files could now be far simpler, with a tool developed by Los Alamos National Laboratory and released to the GitHub open-source software site. The Grand Unified File Index (GUFI) is designed using a new, heirarchical approach to storing file metada, allowing rapid parallel searches across many internal…