Next 25 Results →
July 2019 — August 2019

Free Data Set Archive Helps Researchers Quickly Find a Needle in a Haystack (Aug 4, 2019)
Let’s say you’re doing research that requires millions of geotagged tweets. Or perhaps you’re a journalist who wants to map murders in Chicago from 2001 to the present. You need to find large spatio-temporal data sets — but where?



Titan: How AI, Simulation, Modeling Cemented Legacy of Former Top US Supercomputer (Aug 3, 2019)
After seven years of groundbreaking service at Oak Ridge National Laboratory in Tennessee, the former fastest supercomputer in the U.S. was decommissioned on August 1. First coming online in 2012, Titan achieved peak performance of 27 petaflops, made possible by its 18,000+ NVIDIA GPUs and NVIDIA’s CUDA software platform. It was supplanted last year by the Summit supercomputer, also located at ORNL, which provides 10x Titan’s simulation performance.



Supercomputing Heat Transfer Between 2D Electronic Components (Aug 3, 2019)
Smaller electronic components offer us more power in our pockets. But thinner and thinner components pose engineering problems. Anisotropic materials—those with properties that vary in direction—hold promise for being unusually versatile. Still, their properties, particularly as they become “two dimensional,” or ultra-thin, are not well understood.



Transforming Biology to Design Next-Generation Computers (Aug 1, 2019)
Moore's law -- which says the number of components that could be etched onto the surface of a silicon wafer would double every two years -- has been the subject of recent debate. The quicker pace of computing advancements in the past decade have led some experts to say Moore's law, the brainchild of Intel co-founder Gordon Moore in the 1960s, no longer applies.



Light for the Nanoworld (Aug 1, 2019)
An international team headed up by Alexander Holleitner and Jonathan Finley, physicists at the Technical University of Munich (TUM), has succeeded in placing light sources in atomically thin material layers with an accuracy of just a few nanometers. The new method allows for a multitude of applications in quantum technologies, from quantum sensors and transistors in smartphones through to new encryption technologies for data transmission.



New Approach Could Sink Floating Point Computation (Jul 20, 2019)
In 1985, the Institute of Electrical and Electronics Engineers (IEEE) established IEEE 754, a standard for floating point formats and arithmetic that would become the model for practically all FP hardware and software for the next 30 years.



The Future of AI in Retail: Fueling Change for the Industry (Jul 19, 2019)
Artificial intelligence (AI) and machine learning (ML) are no longer just buzzwords of tech giants and consulting firms. Many forward-thinking companies have also implemented AI and ML strategies to solve both new and existing business problems brought on by the deluge of data. The Retail industry is now getting in on the action.



Argonne Combines Quantum and Classical Approaches to Overcome Limitations in Current Quantum Computing Hardware (Jul 18, 2019)
In recent years, quantum devices have become available that enable researchers — for the first time — to use real quantum hardware to begin to solve scientific problems. However, in the near term, the number and quality of qubits (the basic unit of quantum information) for quantum computers are expected to remain limited, making it difficult to use these machines for practical applications.



Supercomputing Potential Impacts of a Major Quake by Building Location and Size (Jul 18, 2019)
National lab researchers from Lawrence Livermore and Berkeley Lab are using supercomputers to quantify earthquake hazard and risk across the Bay Area. Their work is focused on the impact of high-frequency ground motion on thousands of representative different-sized buildings spread out across the California region.



Computing Biology’s Future (Jul 17, 2019)
Studying the human genome requires sequencing billions of base pairs. Tracking an epidemic involves elaborate computer simulations with multiple variables that influence how it spreads. One thing this research has in common? None of it would be possible without powerful computers.



IT Pros See a Role for High-Performance Computing in Business (Jul 17, 2019)
Four-fifths of UK IT staff link the practical application of high-performance computing (HPC) with maintaining a competitive advantage in the next five years, according to a survey of 903 IT professionals by Censuswide.



The Citizen Scientists of Hidden America (Jul 16, 2019)
When you read the words ‘citizen scientist’, what do you picture? Maybe backyard astronomers helping to classify distant galaxies, or fifth graders recording soil temperatures to track climate change. Big data is not neutral. Ruby Mendenhall sees citizen science as a way to address health disparities and social inequality.



AI Created a 3D Replica of Our Universe. We Have No Idea How It Works. (Jul 16, 2019)
The first-ever artificial intelligence simulation of the universe seems to work like the real thing — and is almost as mysterious. Researchers reported the new simulation June 24 in the journal Proceedings of the National Academy of Sciences. The goal was to create a virtual version of the cosmos in order to simulate different conditions for the universe's beginning, but the scientists also hope to study their own simulation to understand why it works so well.



How You and Your Friends Can Play a Video Game Together Using Only Your Minds (Jul 15, 2019)
In BrainNet, three people play a Tetris-like game using a brain-to-brain interface. This is the first demonstration of two things: a brain-to-brain network of more than two people, and a person being able to both receive and send information to others using only their brain.



Molecular Thumb Drives: Researchers Store Digital Images in Metabolite Molecules (Jul 15, 2019)
DNA molecules are well known as carriers of huge amounts of biological information, and there is growing interest in using DNA in engineered data storage devices that can hold vastly more data than our current hard drives. But new research shows that DNA isn't the only game in town when it comes to molecular data storage.



With Little Training, Machine-Learning Algorithms Can Uncover Hidden Scientific Knowledge (Jul 14, 2019)
Sure, computers can be used to play grandmaster-level chess (chess_computer), but can they make scientific discoveries? Researchers at the U.S. Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have shown that an algorithm with no training in materials science can scan the text of millions of papers and uncover new scientific knowledge.



A Look Inside Neural Networks (Jul 14, 2019)
Artificial intelligence (AI) is already firmly embedded in our everyday lives and is conquering more and more territory. For example, voice assistants are already an everyday item in many people's smartphones, cars and homes. Progress in the field of AI is based primarily on the use of neural networks.



How to Program Greater Diversity Among Mississippi’s Computer Science Grads (Jul 13, 2019)
Makenzie, Mariah and Makayla are triplets who, by the age of 13, have created websites, programmed a handheld Raspberry Pi computer and given orders to a small, white robot called Sphero.



As California Seeks to Add More Computer Science Courses, Teachers are Answering the Call (Jul 13, 2019)
As California pushes to increase access to computer science education for K-12 students, schools across the state this summer are preparing to ramp up course offerings and equip teachers to lead computer science courses.



Boosting Grad Diversity Key to Maintaining U.S. Upper Hand in Computer Science (Jul 12, 2019)
Amid persistent global demand for professionals in science, technology, engineering and math (STEM), the U.S. is in an enviable spot: It’s the leader in producing highly skilled computer science graduates. But where the nation falls short is in diversity — the number of women, as well as black and Hispanic students, graduating from undergraduate computer science programs.



Will AI Take Over Education Leadership? (Jul 12, 2019)
Real leadership comes from knowing how and when to give power to others. That means letting go and letting others step in. Encouraging your staff to step up doesn’t make you less of a leader; it makes you a much better leader.



Leveraging Data, Blockchain and AI to Help Agriculture Meet Growing Global Demand (Jul 11, 2019)
Given the scale of the world’s food supply, there aren’t many industries that lend themselves to the power of data science and analytics than agriculture. This is the thinking behind a new research paper from a group of data scientists who make a case for finding new ways to use blockchain, AI and API management to enable “smart agriculture.”



Data as a Service in a Hybrid, Multicloud World (Jul 11, 2019)
As it was emerging, cloud computing was seen as a fairly straight-up proposition for enterprises of finding a cloud, putting applications and data into it and running and storing it all on someone else’s infrastructure.



Using Machine Learning Models to Better Predict Bladder Cancer Stages (Jul 10, 2019)
The invasive and expensive diagnosis process of bladder cancer, which is one of the most common and aggressive cancers in the United States, may be soon helped by a novel non-invasive diagnostic method thanks to advances in machine learning research at the San Diego Supercomputer Center (SDSC), Moores Cancer Center, and CureMatch Incorporated.



FPGAs and the Road to Reprogrammable HPC (Jul 10, 2019)
Architectural specialization is one option to continue to improve performance beyond the limits imposed by the slow down in Moore’s Law. Using application-specific hardware to accelerate an application or part of one, allows the use of hardware that can be much more efficient, both in terms of power usage and performance.

©1994-2019   |   Shodor   |   Privacy Policy   |   NSDL   |   XSEDE   |   Blue Waters   |   ACM SIGHPC   |   feedback  |   facebook   |   twitter   |   rss   |   youtube Not Logged In. Login