The targeted use of ultrasound technology can bring about significant changes in brain function that could pave the way towards treatment of conditions such as depression, addiction, or anxiety, a new study suggests.
Soft inflatable robots have emerged as a promising paradigm for applications that require inherent safety and adaptability. However, the integration of sensing and control systems in these robots has posed significant challenges without compromising their softness, form factor, or capabilities.
The U.S. Department of Energy Office of Science, or DOE-SC, is investing in machine learning, a type of artificial intelligence, to accelerate the speed of research and development in nuclear science. Michigan State University researchers at the Facility for Rare Isotope Beams, or FRIB, are leading five of these new grant projects. These projects aim to enhance the breadth of FRIB’s activities, covering nuclear physics experiments and theory, as well as particle accelerator operations. FRIB is a DOE-SC user facility, meaning that these advances will serve the global research community while preparing students to become the next generation of leaders and innovators in nuclear science.
A social media campaign launched in 2022 helped encourage some Nigerians to roll up their sleeves for a COVID vaccine, according to a study published today in PLOS ONE.
Scientists have proposed an automated algorithm for detecting different stages of sleep based on frequency-time analysis of biophysical signals recorded during night monitoring with the use of a parallel computing technology based on Graphics Processing Units (GPUs)
Top modeling experts detail how to improve energy system models so that they properly account for the technical characteristics of energy storage and how storage interacts with the grid.
Sandia National Laboratories has been working on an autonomy project led by the Air Force Research Laboratory that could improve the nation’s ability to conduct national security missions, including intelligence, surveillance, reconnaissance, climate monitoring and emergency response.
The National Science Foundation (NSF) is investing $3 million over the next five years in the Artificial Intelligence (AI) Advancements and Convergence in Computational, Environmental and Social Sciences (AI-ACCESS) program at Washington University in St. Louis.
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Empa researchers want to accelerate the development of urgently needed new energy storage systems with the help of the Aurora battery robot. The Aurora project is part of the European research initiative Battery2030+, which was recently awarded over 150 million euros in funding by the EU. In addition, the project is part of the ETH Board's "Open Research Data" initiative, which promotes digitization and free access to research data.
Looking at X-ray movies with computer vision gives researchers an incredible new view of how nanoparticles in a lithium-ion battery electrode work during charging and discharging.
Tufts ranks 66 in the Top 100 U.S. Universities Granted Utility Patents in 2022, a list published today by the National Academy of Inventors (NAI). The list celebrates American innovation and showcases universities that play a large role in advancing innovation.
High performance computing resources, advanced epidemiological models, and powerful algorithms will make dealing with future crises much easier, thanks to research led by Argonne National Laboratory.
A Cornell University committee has released recommendations for how faculty can take generative artificial intelligence into account when considering learning objectives for their students.
IIASA is proud to announce the launch of its Flagship Report on Wednesday, 13 September 2023 at an official UN event in the framework of the 78th session of the UN General Assembly and the Sustainable Development Goals mid-term review.
Arizona State University ranked No. 8 for U.S. utility patents issued to U.S. universities in 2022, in a new top 100 ranking released by the National Academy of Inventors.
Indiana University School of Medicine is expanding its training program for point-of-care ultrasound (POCUS) by investing in portable ultrasound systems for all students, residents, and fellows across seven specialties to use in curricula and patient care at the academic health center in Indianapolis.
A machine-learning algorithm demonstrated the capability to process data that exceeds a computer’s available memory by identifying a massive data set’s key features and dividing them into manageable batches that don’t choke computer hardware. Developed at Los Alamos National Laboratory, the algorithm set a world record for factorizing huge data sets during a test run on Oak Ridge National Laboratory’s Summit, the world’s fifth-fastest supercomputer.
Equally efficient on laptops and supercomputers, the highly scalable algorithm solves hardware bottlenecks that prevent processing information from data-rich applications in cancer research, satellite imagery, social media networks, national security science and earthquake research, to name just a few.
Metastasis is the leading cause of death in cancer, occurring when a cell leaves the primary tumour, passes into the bloodstream and lymphatic system and reaches distant organs. Non-invasive collection of these circulating tumour cells is essential for the study of cell biology, the diagnosis and prognosis in cancer research, and drug development.
Today, the U.S. Department of Energy (DOE) announced $73 million in funding for eleven projects which focus on the goal of accelerating the transition from discovery to commercialization of new technologies that will form the basis of future industries.
A University of Arkansas at Little Rock professor and students are part of a university startup that has received a $2.2 million grant to develop an advanced artificial-intelligence automation and rapid-recovery hardware to protect industrial control systems from cybersecurity attacks.
ETH Zurich has chosen Symplectic Grant Tracker from Digital Science’s suite of flagship products to power its internal funding program, to promote world-class research with the potential to result in fundamental new knowledge or technologies and exciting discoveries.
The rapid changes in technologies affect the lives of people all over the world in terms of work, daily life, medicine, education, business, etc., leading to a necessity for proper adaptation to such development. Realizing this need, the Research Unit in Finance and Sustainability in the Disruption Era of Sasin Graduate Institute of Business Administration, Chulalongkorn University, initiated the “Next Leap” research workshop to drive application of technology.
A new invention about the size of a soda can is a potential gamechanger in advanced underwater imaging technology. Because of its small size, it mounts easily on different types of undersea vehicles. Moreover, the invention overcomes issues related to contrast loss and blurring and the dispersal of light that occurs underwater.
Using artificial intelligence applications to help craft a message to a friend is not a good idea – at least if your friend finds out about the use of AI, a new study suggests. Researchers found that people in the study perceived that a fictional friend who used AI assistance to write them a message didn’t put forth as much effort as a friend who wrote a message themselves.
Northwestern University researchers have developed the first electronic device for continuously monitoring the health of transplanted organs in real time.
Oak Ridge National Laboratory has launched a new entrepreneurial start-up program, Safari, as an addition to the Department of Energy Office of Technology Transitions Practices to Accelerate the Commercialization of Technologies, or PACT, program.
Researchers at the Center for Functional Nanomaterials (CFN), a U.S. Department of Energy (DOE) Office of Science User Facility at DOE’s Brookhaven National Laboratory, and Northrop Grumman, a multinational aerospace and defense technology company, have found a way to maintain valley polarization at room temperature using novel materials and techniques.
Researchers at Michigan State University have shown that table salt outperforms other expensive catalysts being explored for the chemical recycling of polyolefin polymers, which account for 60% of plastic waste.
More than 50% of Australians living in residential aged care facilities have a dementia diagnosis, with aged care services around the world preparing for the number of older people aged 65 years and above to double in the next 30 years.
Researchers from the RIKEN Center for Quantum Computing have used machine learning to perform error correction for quantum computers—a crucial step for making these devices practical—using an autonomous correction system that despite being approximate, can efficiently determine how best to make the necessary corrections.
KERI succeeded in transferring the ‘Ion Implantation and its Evaluation Technology for the SiC (silicon carbide) Power Semiconductor’ to a Hungarian company.
Conventional hurricane power-outage prediction models often produce incomplete or incorrect results, hampering companies’ abilities to prepare to restore power as quickly as possible, especially in cities that are susceptible to prolonged hurricane-induced power outages.
UWF students in the Dr. Muhammad Harunur Rashid Department of Electrical and Computer Engineering are working with the Air Force Research Laboratory to improve battlefield intelligence gathering by creating a machine-learning algorithm.
The joint research team led by Principal Researcher Young Choi of the Department of Mobility Power Research of the Korea Institute of Machinery and Materials (KIMM), an institute under the jurisdiction of the Ministry of Science and ICT, and Researcher Hong-gil Baek of the Zero-Carbon Engine Research Lab of Hyundai-Kia Motor Company developed the “direct injection hydrogen engine” that runs entirely on hydrogen fuels, and demonstrated its world-class excellence through performance evaluation.
Russian neurobiologists have created computer software that can automatically analyze and classify the shape of dendritic spines. The program is based on machine learning techniques.
Employees’ concerns about the use of artificial intelligence and monitoring technologies in the workplace may be negatively related to their psychological well-being and lead them to feel less valued, according to a survey from the American Psychological Association.
As the Earth’s human population grows, greenhouse gas emissions from the world’s food system are on track to expand. A new study demonstrates that state-of-the-art agricultural technology and management can not only reduce that growth but eliminate it altogether by generating net negative emissions – reducing more greenhouse gas than food systems add.
A new Columbia Nursing study analyzes the performance of ADscreen, a computerized speech processing algorithm that is being developed to support clinicians in detecting and monitoring the progression of Alzheimer's disease and related dementias early.
When artificial intelligence robots that have been designed to use algorithms to complete source search tasks, such as search and rescue operations during a fire, encounter a disturbance, they are often unable to complete their task.
Novel standards, processes, and tools to redesign guideline development and implementation, pioneered through a multi-partner initiative led by the Centers for Disease Control and Prevention (CDC).
Electrical engineering senior design students at The University of Alabama in Huntsville (UAH) recently designed an automated chlorine dispenser to upgrade the water supply for a village in Sabana Larga, Nicaragua.
Marcus Autism Center, a subsidiary of Children’s Healthcare of Atlanta, has developed the first biomarker-based, eye-tracking diagnostic technology now available to help diagnose autism.