There are millions of unplugged oil wells in the United States, which pose a serious threat to the environment. Using drones, researchers from Binghamton University, State University of New York have developed a new method to locate these hard-to-locate and dangerous wells.
DHS S&T SVIP announces $199,950 in Phase 1 funding to Lauretta AI, LLC, a start-up based in Arlington, Massachusetts, to adapt their video analytic solution to meet TSA’s needs.
The prodigious amount of data produced at the Large Hadron Collider presents a major challenge for data analysis. Coffea, a Python package developed by Fermilab researchers, speeds up computation and helps scientists work more efficiently. Around a dozen international LHC research groups now use Coffea, which draws on big data techniques used outside physics.
Mike Kirka, a researcher and group leader in Deposition Science and Technology at Oak Ridge National Laboratory, has been recognized by The Minerals, Metals & Materials Society, or TMS, with the Young Innovator in the Materials Science of Additive Manufacturing Award.
Researchers at the Stowers Institute for Medical Research, in collaboration with colleagues at Stanford University and Technical University of Munich have developed advanced explainable artificial intelligence (AI) in a technical tour de force to decipher regulatory instructions encoded in DNA. In a report published online February 18, 2021, in Nature Genetics, the team found that a neural network trained on high-resolution maps of protein-DNA interactions can uncover subtle DNA sequence patterns throughout the genome and provide a deeper understanding of how these sequences are organized to regulate genes.
Based on input from the fusion and plasma research community, the Fusion Energy Sciences Advisory Committee has put forth a new vision and goal. Based on decades of advances in fusion research, they propose working to launch an economically-viable pilot fusion power plant by the 2040s.
The Cedars-Sinai Accelerator has selected and welcomed seven startup health-tech companies from across the United States to its newest class.
A new study published in Economic Inquiry is the first to assess the willingness of consumers to adopt advisory services in the banking sector that are based on artificial intelligence (AI).
"The Queen's Gambit," the recent TV mini-series about a chess master, may have stirred increased interest in chess, but a word to the wise: social media talk about game-piece colors could lead to misunderstandings, at least for hate-speech detection software.
A physicist making great advances in particle detector technology, Estrada is recognized by the American Physical Society Division of Particles and Fields for his creation and development of novel applications for CCD technology that probe wide-ranging areas of particle physics, including cosmology, dark matter searches, neutrino detection and quantum imaging.
Quantum technologies for computers open up new concepts of preserving the privacy of input and output data of a computation. Scientists from the University of Vienna, the Singapore University of Technology and Design and the Polytechnic University of Milan have shown that optical quantum systems are not only particularly suitable for some quantum computations, but can also effectively encrypt the associated input and output data.
Samer Hamdar, an associate professor of civil and environmental engineering at the George Washington University, is partnering with Moment AI to launch a project aimed at developing AI systems that could one day prevent health-induced traffic accidents, including those linked to stress.
Dr. Heather Ross launches a clinical study, with Apple to test if remote monitoring with Apple Watch can help with early identification of worsening heart failure. Data collected using an Apple Watch will be compared to data routinely collected from rigorous physical tests patients normally undergo.
Digital mental health apps and internet-based treatments could overcome both access problems and provider shortages. But these apps have yet to be adopted in the U.S. healthcare system. One reason is that these apps need payment and reimbursement models that would enable broad adoption. Researchers at the University of Washington School of Medicine recently published results to help propel policymakers to create these payment models. They proved that an app to help people with serious mental illness was just as effective as a clinic-based group intervention for half the cost.
A new paper by authors from Los Alamos and Argonne national laboratories sums up the recent progress in colloidal-quantum-dot research and highlights the remaining challenges and opportunities in the rapidly developing field, which is poised to enable a wide array of new laser-based and LED-based technology applications.
University of Miami Miller School of Medicine researchers are recruiting health care workers to study whether a wearable device, a wristwatch, can capture real time data that can be used to alert wearers of subtle physiological changes that may indicate they have become infected with COVID-19.
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