The Universe is almost inconceivably vast. So is the amount of data astronomers collect when they study it. This is a challenging process for the scientists and engineers at the U.S. National Science Foundation’s National Radio Astronomy Observatory (NRAO). But what if they could do it over 300 times faster?
Scientists from the National University of Singapore (NUS) have developed a novel triple-junction perovskite/Si tandem solar cell that can achieve a certified world-record power conversion efficiency of 27.1 per cent across a solar energy absorption area of 1 sq cm, representing the best-performing triple-junction perovskite/Si tandem solar cell thus far. To achieve this, the team engineered a new cyanate-integrated perovskite solar cell that is stable and energy efficient.
A new partnership between McMaster University and Celesta Capital will cultivate the next generation of deep tech innovations at McMaster and within the broader Canadian research and startup ecosystem.
A new study led by URI scientists Kathleen Melanson and Theodore Walls aims to shed light on real-world eating behaviors, using AI-enabled wearable technology. In collaboration with researchers at the University of Texas and funded by the National Institutes of Health, the team will develop a system to detect detailed information on eating motions.
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Early in Hertz Fellow Alex Siegenfeld’s PhD program, he found himself unmotivated by his research and knew something had to change. His turning point overlapped with the 2016 Hertz Summer Workshop, where he discussed his concerns with other fellows.
In this new video, Eysenbach shares the origins of the Journal of Medical Internet Research and the driving forces that led him to establish an open access digital health journal. His passion for publishing, coupled with a background in medicine and information and computer science, fueled his vision to leverage the internet's transformative power in making medical information accessible to both professionals and consumers.
Scientists have unveiled a groundbreaking sensor that can wirelessly detect chemical warfare agents, marking a significant leap in public safety technology. This innovative device, capable of identifying substances like dimethyl methylphosphonate (DMMP), offers a new level of efficiency and reliability in monitoring and responding to chemical threats, without the need for direct power sources or physical connections.
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Researchers at the Beckman Institute developed an artificial intelligence model that can accurately identify tumors and diseases in medical images. The tool draws a map to explain each diagnosis, helping doctors follow its line of reasoning, check for accuracy, and explain the results to patients.
PNNL scientists have put forth a new approach to protect the electric grid, creating a tool that sorts and prioritizes cyber threats on the fly.
Digital Science is delighted to announce the launch of AI-driven summarization in Dimensions, a new feature to support the user in their discovery process for publications, grants, patents and clinical trials.
Web3, symbolizing the internet's next evolution, embodies a decentralized and user-empowered framework built upon blockchain technology. Researchers has offered an extensive overview of Web3 technology, encompassing its infrastructure, applications, and popularity. This exploration into the decentralized web underscores significant insights into the categorization of Web3 projects and their reception in the digital domain.
Fengqui "Frank" Li is a computational developer at Oak Ridge National Laboratory who uses his background as an architect to expand the landscape of design for his research into building energy modeling and beyond.
Cameras similar to those already on newer model cars, combined with facial recognition tools, could read the "tells" of impairment in the face and upper body of a driver, University of Michigan engineers have shown.
The year-long project seeks to examine the risks to export control that still-developing SMR technology will play for the next several decades.
From televisions to X-ray machines, many modern technologies are enabled by electrons that have been juiced up by a particle accelerator. Now, Jefferson Lab has teamed up with General Atomics and other partners to unlock even more applications. The team has designed, built and successfully tested a prototype of a key component of particle accelerators that could enable novel industrial applications of accelerators.
A University of California, Irvine-led research team has demonstrated the potentially hazardous vulnerabilities associated with the technology called LiDAR, or Light Detection and Ranging, many autonomous vehicles use to navigate streets, roads and highways. Computer scientists and electrical engineers at the UCI and Japan’s Keio University have shown how to use lasers to fool LiDAR into “seeing” objects that are not present and missing those that are – deficiencies that can cause unwarranted and unsafe braking or collisions.
The next generation of programmable quantum devices will require processors built around superior qubits. Researchers developed a blueprint for a novel quantum information processor based on fluxonium qubits. These fluxonium qubits outperform transmons, the most widely used superconducting qubits. The researchers also made practical suggestions on how to adapt and build the cutting-edge hardware for superconducting devices.
Lawrence Livermore National Laboratory's (LLNL) popular lecture series, “Science on Saturday,” will continue its programming into March at the Grand Theatre Center for the Arts in Tracy.
Cleveland Clinic Among First Hospitals to Perform New Tissue-Sparing Ablation Procedure
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