Machine learning can assess the effectiveness of mathematical tools used to predict the movements of financial markets, according to new Cornell research based on the largest dataset ever used in this area.
As we use resources to power massive computer farms and process digital information, our technological progress is redistributing Earth’s matter from physical atoms to digital information. Eventually, we will reach a point of full saturation, a period in our evolution in which digital bits will outnumber atoms on Earth, a world “mostly computer simulated and dominated by digital bits and computer code,” according to an article published in AIP Advances. It is just a matter of time.
Infection prevention experts at the UNC Medical Center set out to gather evidence on the fitted filtration efficiency of dozens of different types of masks and mask modifications, including masks sterilized for reuse, expired masks, novel masks sourced from domestic and overseas sources, and homemade masks.
A Lawrence Livermore National Laboratory (LLNL) team has published new supercomputer simulations of a magnitude 7.0 earthquake on the Hayward Fault. This work represents the highest ever resolution ground motion simulations from such an event on this scale.
Portable disinfection chambers that use ultraviolet (UV) light to inactivate virus particles could allow emergency medical technicians, police officers, healthcare workers, pharmacy technicians, and others to quickly disinfect their personal protective equipment (PPE) as they need it.
Researchers at the University of Notre Dame are developing a new technique using artificial intelligence (AI) that would improve CT screening to more quickly identify patients with the coronavirus.
Irvine, Calif., Aug. 10, 2020 — Scientists at the University of California, Irvine have unveiled a public website that provides up-to-date statistics on coronavirus infections in Orange County, with comparisons to neighboring and other California counties. The site displays information collected from the California Open Data Portal in an easily comprehended format, giving visitors quick access to the most relevant data on hospitalized patients with COVID-19, intensive care unit patients, new daily cases and new daily deaths caused by the disease.
Building up on their last year’s breakthrough “time reversal” experiment, two researchers from the Moscow Institute of Physics and Technology and Argonne National Laboratory have published a new theoretical study in Communications Physics. While their previous paper dealt with a predefined quantum state, this time the physicists have devised a way to time-reverse the evolution of an object in an arbitrary, unknown state.
NASA has awarded its Exceptional Public Achievement Medal for sustained performance that embodies multiple contributions on NASA projects, programs or initiatives to Dr. Michael S. Briggs, an assistant director of the Center for Space Plasma and Aeronomic Research (CSPAR) at The University of Alabama in Huntsville.
The U.S. Department of Energy (DOE) awarded a five-year, $13 million grant to a nationwide research project to genetically strengthen Thlaspi arvense, commonly known as pennycress, for use in sustainable energy efforts.
Corals in the Ocean are made up of coral polyps, a small soft creature with a stem and tentacles, they are responsible for nourishing the corals, and aid the coral’s survival by generating self-made currents through motion of their soft bodies.
Virginia Institute of Marine Science (VIMS) researchers used supercomputer simulations to examine impacts of both regional and global changes affecting the Chesapeake Bay. They discovered that historical increases in fertilizers and atmospheric carbon dioxide concentrations have forced the bay to behave increasingly like a small sea on a continental shelf rather than a traditional estuary.
This research will focus on the development of efficient electrochemical systems for energy generation and storage. The proposed work will have a significant impact on the development of efficient energy conversion systems.
Researchers at the Stowers Institute for Medical Research in Kansas City, Missouri, and the Andalusian Center of Developmental Biology at Pablo de Olavide University in Seville, Spain, have harnessed the technology to target gene messages (messenger RNA) involved in early vertebrate development.
DHS S&T SVIP and the DHS SBIR program are leveraging their innovative funding mechanisms to further develop a critical cybersecurity technology from CryptoMove, Inc., a start-up based in Oakland, California.
The University of Alabama in Huntsville (UAH) will receive $1.1 million of the $3.3 million in research, education and training grants awarded to universities that comprise the Alliance for System Safety of UAS through Research Excellence (ASSURE).
A new study examines technological, socioeconomic and geopolitical forces altering the marketing industry -- including deepening consumer relationships -- and the implications for marketing managers, educators and researchers.
NASA’s new Perseverance rover, which just started its seven-month journey to Mars, carries on board what is likely the most versatile instrument ever created to understand the planet’s past habitability: SuperCam—and a new podcast will tell listeners all about it.
Horizon31, LLC, of Knoxville, Tenn., has exclusively licensed a novel communication system that allows users to reliably operate unmanned vehicles such as drones from anywhere in the world using only an internet connection.
Researchers at the University of Wisconsin–Madison have developed a method combining sticky nanoparticles with high-precision protein measurement to capture and analyze a common marker of heart disease to reveal details that were previously inaccessible.
Scientists at Berkeley Lab and the Joint Center for Artificial Photosynthesis (JCAP) have gained important new insight into how the performance of a promising semiconducting thin film can be optimized at the nanoscale for renewable energy technologies such as solar fuels.
A team of researchers have developed an algorithm through machine learning that helps predict sites of DNA methylation – a process that can change the activity of DNA without changing its overall structure – and could identify disease-causing mechanisms that would otherwise be missed by conventional screening methods.
Four FAU researchers have received the coveted NSF Early Career (CAREER) award for research to develop a low-cost, disposable point-of-care platform to detect current and emerging infectious diseases; for a cognitive screening tool for the early detection of Alzheimer’s disease using wearables and a smartphone; for mathematical tools and new ways of coding to enhance cybersecurity; and to better understand how marine animals tune, or dynamically adjust their movements using their skin and skeletons.
New research by neuroscientists at the University of Pittsburgh and UC San Francisco (UCSF) revealed that a simple, earbud-like device developed at UCSF that imperceptibly stimulates a key nerve leading to the brain could significantly improve the wearer’s ability to learn sounds of a new language.
The overwhelming ‘Whiteness’ of artificial intelligence – from stock images and cinematic robots to the dialects of virtual assistants – removes people of colour from the way humanity thinks about its technology-enhanced future, according to Cambridge researchers.
Groundbreaking approach in high-resolution electron energy loss spectroscopy has been judged to be one of the 10 best microscopy innovations in the 2020 Microscopy Today Innovation Award competition.
University reports a new electrocatalyst that converts carbon dioxide and water into ethanol with very high energy efficiency, high selectivity for the desired final product and low cost.
Rutgers Cancer Institute of New Jersey Urologic Oncology chief marks a major milestone in completing his 2,000th robotic prostatectomy at Robert Wood Johnson University Hospital, an RWJBarnabas Health facility and one of the few hospitals in the state designated to teach surgeons about this technique.
A media comprised of a sandwich of materials, tested by Sandia National Laboratories, is being manufactured into N95-like respirators that could be used in local medical facilities. The project originated from the urgent need for personal protective equipment when the COVID-19 outbreak began.
NIH has launched an ambitious effort to use artificial intelligence, computation, and medical imaging to enable early disease detection, inform successful treatment strategies, and predict individual disease outcomes of COVID-19.
To meet the current and anticipated demand for offshore wind, we’re going to need marshalling ports, large waterside sites with the acreage and weight-carrying capacity necessary to assemble, house and deploy the huge wind turbines ready to ship out into the ocean. A new study from the University of Delaware has identified two prime east coast locations for marshalling ports on either side of the Delaware bay.
The nation’s largest medical imaging associations are developing the new Medical Imaging and Data Resource Center (MIDRC), an open-source database with medical images from tens of thousands of COVID-19 patients. The MIDRC will help doctors better understand, diagnose and treat COVID-19.
A new center hosted at the University of Chicago — co-led by the largest medical imaging professional organizations in the country — will help tackle the ongoing COVID-19 pandemic by curating a massive database of medical images to help better understand and treat the disease. The work is supported by a $20 million, two-year federal contract that could be renewable to $50 million over five years.
Berkeley Lab bioscientists are part of a nationwide research project, called ENCODE, that has generated a detailed atlas of the molecular elements that regulate our genes. This enormous resource will help all human biology research moving forward.
rookhaven Lab is moving its Summer Sunday program to an online format for 2020. Over three Sundays this summer, the Lab will host a series of live, virtual events for everyone to interact with the Lab in a new way. Each event will feature a guided tour of a Brookhaven Lab facility followed by a live Q&A with a panel comprised of the facility’s scientists.
When a hurricane approaches, providing a few extra hours’ notice can be the difference between life and death. Now, Penn State researchers report that applying a machine learning technique to a group of possible storm paths could help meteorologists provide more accurate medium-term forecasts and issue timely warnings to communities in the path of these potentially deadly storms.
If builders could incorporate solar harvesting into the siding of a building, the amount of energy from the grid that a structure would need may significantly decrease. In research published recently in Renewable Energy, a team of researchers from Rensselaer Polytechnic Institute, led by Diana-Andra Borca-Tasciuc, a professor of mechanical, aerospace, and nuclear engineering, demonstrated the potential of wedge-shaped luminescent solar concentrators (LSCs). These efficient modular solar units could easily be hung on the side of a building.
Geisel Software, a Massachusetts-based custom software development firm, and University of Nevada Las Vegas (UNLV) are pleased to announce they have been awarded a Phase I Small Business Technology Transfer (STTR) grant by the National Aeronautics and Space Administration (NASA).
The University of Miami Health System has launched the UHealth Televigilance program, allowing providers to remotely monitor and care for COVID-19 patients who might otherwise need to continue care in inpatient settings.
Phillip Phan, the Alonzo and Virginia Decker Professor of Strategy and Entrepreneurship at the Johns Hopkins Carey Business School, discusses promising developments in the field of telemedicine – developments that, ironically, may have been sped up by the onset of the coronavirus pandemic.
Researchers at the McKelvey School of Engineering at Washington University in St. Louis have developed a new algorithm for solving a common class of problem -- known as linear inverse problems -- by breaking them down into smaller tasks, each of which can be solved in parallel on standard computers.