THE ORIGINAL COLLECTION · SINCE 2010

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Technology

New high-tech microscope using AI successfully detects malaria in returning travelers

Each year, more than 200 million people fall sick with malaria and more than half a million of these infections lead to death. The World Health Organization recommends parasite-based diagnosis before starting treatment for the disease caused by Plasmodium parasites. There are various diagnostic methods, including conventional light microscopy, rapid diagnostic tests and PCR. The standard for malaria diagnosis, however, remains manual light microscopy, during which a specialist examines blood films with a microscope to confirm the presence of malaria parasites. ...

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A platform for integrated spectrometers based on solution-processable semiconductors
Technology

A platform for integrated spectrometers based on solution-processable semiconductors

Acquiring real-time spectral information in point-of-care diagnosis, internet-of-thing, and other lab-on-chip applications require spectrometers with hetero-integration capability and miniaturized feature. Compared to conventional semiconductors integrated by heteroepitaxy, solution-processable semiconductors provide a much-flexible integration platform due to their solution-processability, and, therefore, more suitable for the multi-material integrated system. However, solution-processable semiconductors are usually incompatible with the micro-fabrication processes, making them far from practical use in various lab-on-chip applications. In a new paper published ...

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Technology

How sure is sure? Incorporating human error into machine learning

Researchers are developing a way to incorporate one of the most human of characteristics – uncertainty – into machine learning systems. Human error and uncertainty are concepts that many artificial intelligence systems fail to grasp, particularly in systems where a human provides feedback to a machine learning model. Many of these systems are programmed to assume that humans are always certain and correct, but real-world decision-making includes occasional mistakes and uncertainty. Researchers from the University of Cambridge, along with The Alan Turing Institute, Princeton, and Google DeepMind, have been attempting ...

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ChatGPT-authored Japanese writing can be stylistically distinguished with up to 100% accuracy from human-authored text by machine learning algorithms
Technology

ChatGPT-authored Japanese writing can be stylistically distinguished with up to 100% accuracy from human-authored text by machine learning algorithms

ChatGPT-authored Japanese writing can be stylistically distinguished with up to 100% accuracy from human-authored text by machine learning algorithms ### Article URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0288453 Article Title: Distinguishing ChatGPT(-3.5, -4)-generated and human-written papers through Japanese stylometric analysis Author Countries: Japan Funding: This work was partly supported by JSPS KAKENHI Grant Number JP22K12726. The funders did not participate in this study design, data collection, analysis, or decision to publish, except their role in paying the English proofreading and Publication Fee. ...

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Technology

Engineered probiotic developed to treat multiple sclerosis

Brigham researchers are working on a new approach to target autoimmunity in the brain leverages designer bacteria to make treatment safer and more effective Researchers from Brigham and Women’s Hospital, a founding member of the Mass General Brigham healthcare system, have designed a probiotic to suppress autoimmunity in the brain, which occurs when the immune system attacks the cells of the central nervous system. Autoimmunity in the brain is at the core of several diseases, including multiple sclerosis. In a new study, researchers demonstrated the treatment’s potential using preclinical models of these diseases, finding that the technique offered a more precise ...

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CAREER Award: Fixing AI’s blind spot in image analysis
Technology

CAREER Award: Fixing AI’s blind spot in image analysis

For all the astonishing things artificial intelligence can do, it has a particular blind spot that one University of Virginia researcher seeks to remedy. It can’t recognize all shapes. “Current machine-learning models lack the capability to analyze and quantify the shape of objects presented in images with complex structures and large variations, especially in the context of medical imaging,” said Miaomiao Zhang, an assistant professor in the UVA School of Engineering and Applied Science. The models are biased toward “seeing” image textures and have limited ability ...

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Technology

Human scent receptors could help ‘sniff out’ nerve gases in new sensor

By some estimates, the human nose can detect up to a trillion different smells with its hundreds of scent receptors. But even just catching a quick whiff of certain chemicals known as nerve agents can be lethal, even in tiny amounts. Researchers now reporting in ACS Sensors have developed a sensitive and selective nerve gas sensor using these human scent receptors. It reliably detected a substitute for deadly sarin gas in simulated tests. Nerve gases are often very potent, requiring highly sensitive sensors to detect them ...

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Technology

Particulate air pollution a growing risk for premature CVD death and disability worldwide

Research Highlights: Between 1990 and 2019, the total annual number of premature CVD deaths and years of disability attributable to particulate matter air pollution rose by 31% worldwide. The increase in deaths was unevenly distributed by sex, with a 43% increase in deaths among men compared to a 28.2% increase among women. During the nearly 30 years of data reviewed, deaths and disability attributed to outdoor particulate matter pollution rose, while deaths associated with indoor use of solid fuels declined. Regions ...

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Cybersecurity project plans to connect researchers across the country
Technology

Cybersecurity project plans to connect researchers across the country

From building fighter jets to automobiles, the manufacturing world is increasingly adapting digital instruction as technology advances. Mechanical parts can be designed on a computer and shipped over the network to a manufacturing machine that follows digital instructions to produce a specific part. The move into the digital world makes securing online information a national interest. Dr. Narasimha Reddy, a professor in the Department of Electrical and Computer Engineering at Texas A&M University, recently received a National Science Foundation grant to research cybersecurity ...

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Researchers use SPAD detector to achieve 3D quantum ghost imaging
Technology

Researchers use SPAD detector to achieve 3D quantum ghost imaging

WASHINGTON — Researchers have reported the first 3D measurements acquired with quantum ghost imaging. The new technique enables 3D imaging on a single photon level, yielding the lowest photon dose possible for any measurement. “3D imaging with single photons could be used for various biomedical applications, such as eye care diagnostics,” said researcher Carsten Pitsch from the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation and Karlsruhe Institute of Technology, both in Germany. “It can be applied to image materials and tissues that are sensitive to light or drugs that become toxic when exposed ...

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Overlooked CO2 emissions induced by air pollution control devices in China's coal-fired power plants
Technology

Overlooked CO2 emissions induced by air pollution control devices in China's coal-fired power plants

To combat this issue, China has implemented various environmental regulations, including the widespread use of air pollution control devices (APCDs) in CFPPs. While APCDs have successfully reduced air pollutants, their electricity consumption has led to indirect carbon dioxide (CO2) emissions. The extent of these CO2 emissions has remained uncertain, prompting researchers to delve deeper into this overlooked environmental concern. In a new study published in Volume 17 of the journal Environmental Science and Ecotechnology, researchers from Shandong University conducted a study revealing that the proportion of APCD CO2 emissions in total ...

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SwRI launches Engine for Automatic Biomechanical Evaluation (ENABLE™) markerless analysis tool
Technology

SwRI launches Engine for Automatic Biomechanical Evaluation (ENABLE™) markerless analysis tool

SAN ANTONIO — August 8, 2023 – Southwest Research Institute is launching its new Engine for Automatic Biomechanical Evaluation (ENABLE™) markerless biomechanics system during the American Society of Biomechanics (ABS) Annual Conference, August 8-11, in Knoxville, Tennessee. ABS attendees can see a demonstration by visiting Booth No. 11. ENABLE is a user-friendly markerless motion capture system that leverages artificial intelligence, computer vision algorithms and biomechanical modeling. The key advantage of ENABLE is it efficiently captures ...

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Parenting a 3-year-old robot
Technology

Parenting a 3-year-old robot

Humans are social creatures and learn from each other, even from a young age. Infants keenly observe their parents, siblings or caregivers. They watch, imitate and replay what they see to learn skills and behaviors. The way babies learn and explore their surroundings inspired researchers at Carnegie Mellon University and Meta to develop a new way to teach robots how to simultaneously learn multiple skills and leverage them to tackle unseen, everyday tasks. The researchers set out to develop a robotic AI agent with manipulation abilities equivalent to a 3-year-old child. The team has announced RoboAgent, an artificial intelligence agent that leverages passive observations and active ...

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Technology

New model reduces bias and enhances trust in AI decision-making and knowledge organization

University of Waterloo researchers have developed a new explainable artificial intelligence (AI) model to reduce bias and enhance trust and accuracy in machine learning-generated decision-making and knowledge organization. Traditional machine learning models often yield biased results, favouring groups with large populations or being influenced by unknown factors, and take extensive effort to identify from instances containing patterns and sub-patterns coming from different classes or primary sources. The medical field is one area where there are severe implications for biased machine learning results. Hospital staff and medical ...

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Technology

Department of Energy announces $4.7 million for research on integrative computational tools for systems biology research

WASHINGTON, D.C. - Today, the U.S. Department of Energy (DOE) announced $4.7 million in funding for five new research projects in computational biology. These projects will develop new software and analytical tools to manage the growing quantities of genomics and other data stemming from the study of microbes and other biological systems. “The Biological and Environmental Research (BER) Genomic Science program is at the forefront of using genome-enabled approaches to identify the basic principles that drive biological systems underlying functional processes of organisms,” said Todd Anderson, DOE Acting Associate Director for BER. “To gain ...

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Technology

Midwest Integrated Center for Computational Materials renewed by U.S. Department of Energy

The U.S. Department of Energy (DOE) has announced the renewal of the Midwest Integrated Center for Computational Materials (MICCoM) for another three years at $3 million per year. Founded in 2015, the Center is headquartered at DOE’s Argonne National Laboratory. Partnering universities include the University of Chicago, University of Notre Dame and University of California, Davis. “The MICCoM team has been at the forefront of developing simulation methods and codes and solving cutting-edge materials science problems,” said Center director Giulia Galli. She is also a senior scientist in Argonne’s Materials Science division and professor in the ...

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Technology

Shehu conducting collaborative research on deep learning & experimentation for property-controlled molecule generation

Amarda Shehu, Associate Vice President of Research, Institute for Digital Innovation (IDIA); Associate Dean for AI Innovation (CEC); Professor, Computer Science, received funding for the project: "Collaborative Research: IIBR: Innovation: Bioinformatics: Linking Chemical and Biological Space: Deep Learning and Experimentation for Property-Controlled Molecule Generation." This project advances property-controlled molecule generation. A key insight propelling property-controlled molecule generation is that machine learning models need to be situated in biological data and knowledge. The research activities for this project ...

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Technology

Anastasopoulos facilitating language technologies for crisis response

Antonios Anastasopoulos, Assistant Professor, Computer Science, received funding from the National Science Foundation for: "CCRI: Planning-C: Facilitating Language Technologies for Crisis Response." This CISE Computing Research Infrastructure (CCRI) planning grant will lay out a concrete path for using language technologies for crisis/disaster response that will be useful for everyone. This requires developing crucial infrastructure to support research toward technological solutions that enable and support communications ...

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Self-supervised AI learns physics to reconstruct microscopic images from holograms
Technology

Self-supervised AI learns physics to reconstruct microscopic images from holograms

Researchers from the UCLA Samueli School of Engineering have unveiled an artificial intelligence-based model for computational imaging and microscopy without training with experimental objects or real data. In a recent paper published in Nature Machine Intelligence, UCLA’s Volgenau Professor for Engineering Innovation Aydogan Ozcan and his research team introduced a self-supervised AI model nicknamed GedankenNet that learns from physics laws and thought experiments. Artificial intelligence has revolutionized the imaging process across ...

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Discovery in nanomachines within living organisms - cytochromes P450 (CYP450s) unleashed as living soft robots
Technology

Discovery in nanomachines within living organisms - cytochromes P450 (CYP450s) unleashed as living soft robots

[Jerusalem, Israel] Study reveals an important discovery in the realm of nanomachines within living systems. Prof. Sason Shaik from the Hebrew University of Jerusalem and Dr. Kshatresh Dutta Dubey from Shiv Nadar University, conducted molecular-dynamics simulations of Cytochromes P450 (CYP450s) enzymes, revealing that these enzymes exhibit unique soft-robotic properties. Cytochromes P450 (CYP450s) are enzymes found in living organisms and play a crucial role in various biological processes, particularly in the metabolism of drugs and xenobiotics. The researchers' simulations demonstrated that CYP450s possess a fourth dimension - the ability to sense and respond to ...

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Technology

CEHD researchers receive funding for project on quantum teaching & learning in elementary classrooms

Nancy Holincheck, Assistant Professor, Advanced Studies in Teaching and Learning, School of Education; Jessica Rosenberg, Associate Professor, Physics and Astronomy; Stephanie Dodman, Associate Professor, School of Education; and Benjamin Dreyfus, Associate Professor, Physics and Astronomy, received funding from the National Science Foundation for the project: "EAGER: Quantum is Elementary: Quantum Teaching & Learning in Elementary Classrooms." The researchers will study learning associated with elementary teachers' engagement in professional learning and elementary students' learning related to quantum science, quantum thinking, and careers. The ...

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SwRI helps create open-source software to assist rail industry decarbonization efforts
Technology

SwRI helps create open-source software to assist rail industry decarbonization efforts

SAN ANTONIO — August 7, 2023 —Southwest Research Institute is helping the freight rail industry assess potential pathways to decarbonization with a new open-source modeling and simulation software known as ALTRIOS. ALTRIOS, the Advanced Locomotive Technology and Rail Infrastructure Optimization System, can simulate the real-world impacts and expenses related to adopting alternative energy locomotive technologies and expanding associated infrastructure. Now publicly available for download, ALTRIOS supports several simulation modes to provide rail industry stakeholders with optimal strategies for implementing ...

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Technology

National Science Foundation funds NYU Tandon School of Engineering project to safeguard U.S. laws and legal information against cyberattacks and malicious actors

NYU Tandon School of Engineering researchers will develop new technologies to secure the “digital legal supply chain” — the processes by which official laws and legal information are recorded, stored, updated and distributed electronically — thanks to a $1.2 million grant just awarded by the National Science Foundation (NSF). Justin Cappos, associate professor in the Computer Science and Engineering department at NYU Tandon, heads up the four-year NSF project, “Defending the Supply Chain of Democracy: Towards a Cryptographically ...

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Researchers design algorithm to monitor two-photon lithography nanoscale fabrication
Technology

Researchers design algorithm to monitor two-photon lithography nanoscale fabrication

BOSTON - A new way to monitor two-photon lithography nanoscale fabrication could help improve the accuracy and efficiency of creating 3D engineered tissue scaffolds, according to a new study. Tissue scaffolds mimic the natural extracellular matrices found in the body, which creates a 3D environment ideal for tissue formation. Jieliyue Sun, an engineering Ph.D. student from the lab of Kimani Toussaint, Brown University will present this research at the Optica Imaging Congress. The hybrid meeting will take place 14 – 17 August 2023 in Boston. “Tissue scaffolds are three-dimensional structures that can support the growth and development of cells or tissues for biomedical ...

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Study aims to assess impact of physical activity intervention on cognitive development of young children in low socioeconomic areas
Technology

Study aims to assess impact of physical activity intervention on cognitive development of young children in low socioeconomic areas

In an effort to address health disparities linked to low socioeconomic environments, a University of Massachusetts Amherst kinesiologist is partnering with Western Massachusetts preschools to implement a physical activity program for young children. Sofiya Alhassan, professor of kinesiology in the School of Public Health and Health Sciences, will measure the impact of a gross motor skills-based physical activity program on the cognitive development of 3- to 5-year-olds enrolled in preschools in communities with low socioeconomic ...

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