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First atom-level structure of packaged viral genome reveals new properties, dynamics

A computational model of the more than 26 million atoms in a DNA-packed viral capsid has expanded our understanding of virus structure and DNA dynamics. The study found that the DNA formed switchback loops as it was pushed into the capsid, similar to how DNA is organized in eukaryotic cells.

SourceUniversity of Illinois at Urbana-Champaign, News Bureau·JournalNature·TypeComputational simulation/modeling·DateMar 6, 2024
Apple iPad Pro 11-inch (M4)

Apple iPad Pro 11-inch (M4) runs demanding GIS, imaging, and annotation workflows on the go for surveys, briefings, and lab notebooks.

University of Paderborn researchers use Hawk supercomputer and lean into imperfection to improve solar cell efficiency

A team led by Prof. Wolf Gero Schmidt used Hawk supercomputer to study how strategic impurities in solar cells can improve performance. They discovered that certain defects can improve exciton transfer, leading to more energy captured. This breakthrough could lead to more efficient and climate-friendly energy production.

SourceGauss Centre for Supercomputing·JournalPhysical Review Letters·TypeComputational simulation/modeling·DateFeb 27, 2024

Psychological science professor receives prestigious CAREER Award

Grant Shields, a psychologist at the University of Arkansas, has received an NSF CAREER Award to investigate how stress affects cognitive control. His research aims to identify the underlying processes that influence inhibitory control and develop a publicly available course to disseminate his findings.

SourceUniversity of Arkansas·DateFeb 27, 2024
Celestron NexStar 8SE Computerized Telescope

Celestron NexStar 8SE Computerized Telescope combines portable Schmidt-Cassegrain optics with GoTo pointing for outreach nights and field campaigns.

Predicting optimal medical interventions

A recent study by Singapore Management University researchers used machine learning to develop a personalized decision support tool for ICU patients. The analysis indicates that incorporating predictive information can reduce ICU length of stay and extubation failure rates, leading to improved patient outcomes.

SourceSingapore Management University·DateFeb 23, 2024

AI aids efforts to cut nuisance alerts for health care teams: Study

A new study from Vanderbilt University Medical Center demonstrates the potential of AI to help target computerized alerts intended for healthcare teams. The approach uses machine learning to analyze user interactions with alerts, predicting when specific alerts will be dismissed by users. The model's suggestions were found to align wit...

SourceVanderbilt University Medical Center·JournalJournal of the American Medical Informatics Association·DateFeb 22, 2024

Automated method helps researchers quantify uncertainty in their predictions

Researchers have introduced an optimization technique that accelerates Bayesian inference without requiring extensive user effort. This new automated method achieves more accurate results faster than another popular approach and offers reliable uncertainty estimates to help scientists understand when to trust their predictions.

SourceMassachusetts Institute of Technology·JournalJournal of Machine Learning Research·DateFeb 21, 2024

Can’t stand gossip? New research suggests that gabbing about others is ‘not always a bad thing’

Gossiping provides a social benefit by disseminating information about people's reputations, helping recipients connect with cooperative individuals while avoiding selfish ones. This allows gossipers to gain an evolutionary advantage as their actions influence others' behavior and encourage cooperation.

SourceUniversity of Maryland·JournalProceedings of the National Academy of Sciences·TypeComputational simulation/modeling·DateFeb 21, 2024

Modeling tree masting

Researchers at Hokkaido University developed new computer-based models of masting to understand its effects on ecosystems and food webs. The models predict that masting can affect tree mortality, population dynamics, and animal-forest interactions, with implications for mitigating negative impacts of climate change.

SourceHokkaido University·JournalEcological Modelling·TypeComputational simulation/modeling·DateFeb 21, 2024
Apple MacBook Pro 14-inch (M4 Pro)

Apple MacBook Pro 14-inch (M4 Pro) powers local ML workloads, large datasets, and multi-display analysis for field and lab teams.

Widely used machine learning models reproduce dataset bias in Rice study

Researchers found that widely used machine learning tools produce biased results for immunotherapy research, as they rely heavily on datasets from higher-income communities. This can lead to ineffective treatments for lower-income populations. The study highlights the need for accurate and unbiased data in machine learning models.

SourceRice University·JournaliScience·TypeData/statistical analysis·DateFeb 16, 2024

AI tool predicts function of unknown proteins

A new AI tool, DeepGO-SE, successfully predicts the molecular functions of unknown proteins with high accuracy. This breakthrough enables researchers to analyze uncharacterized proteins, facilitating tasks such as drug discovery, metabolic pathway analysis, and disease associations.

SourceKing Abdullah University of Science & Technology (KAUST)·JournalNature Machine Intelligence·DateFeb 14, 2024

Argonne scientists use AI to identify new materials for carbon capture

Researchers from Argonne National Laboratory and the University of Illinois Urbana-Champaign used generative AI to quickly assemble over 120,000 new MOF candidates for carbon capture. The approach combines AI with high-throughput screening, molecular dynamics simulations and theory-based design to identify optimal materials.

SourceDOE/Argonne National Laboratory·JournalNature·DateFeb 14, 2024
Sky-Watcher EQ6-R Pro Equatorial Mount

Sky-Watcher EQ6-R Pro Equatorial Mount provides precise tracking capacity for deep-sky imaging rigs during long astrophotography sessions.

Machine learning promises to accelerate metabolism research

Researchers use machine learning to combine mismatched datasets and reduce variation by over 95%, retaining meaningful differences. The approach has potential to provide deeper understanding of normal metabolism and identify biomarkers for disease.

SourceUniversity of Washington School of Medicine/UW Medicine·JournalProceedings of the National Academy of Sciences·TypeComputational simulation/modeling·DateFeb 12, 2024

Powerful answers to energy questions may be blowing in the wind

Researchers at UBC Okanagan have developed a new modeling framework called TOSCA, which helps improve wind energy forecasts and productivity. The framework can capture the interaction between large wind farms and the oncoming wind, leading to more accurate estimates of power output.

SourceUniversity of British Columbia Okanagan campus·JournalWind Energy Science·TypeMeta-analysis·DateFeb 6, 2024

Direct view of tantalum oxidation that impedes qubit coherence

Researchers use advanced electron microscopy and computational modeling to understand tantalum oxide formation, which can impede qubit performance. The study reveals a 'suboxide' layer at the interface between tantalum and oxide, with ordered crystalline lattice features.

SourceDOE/Brookhaven National Laboratory·JournalACS Nano·DateFeb 5, 2024
SAMSUNG T9 Portable SSD 2TB

SAMSUNG T9 Portable SSD 2TB transfers large imagery and model outputs quickly between field laptops, lab workstations, and secure archives.

Getting esophageal cancer patients the right treatments faster

A multidisciplinary team created a new algorithm to provide optimal personalized treatment options for individuals with esophageal cancer. The framework uses various heterogeneous factors that facilitate the progression of the disease and demonstrated high accuracy in controlling esophageal cancer.

SourceUniversity of Texas at Arlington·JournalJournal of Mathematical Biology·TypeData/statistical analysis·DateJan 31, 2024

New AI technique significantly boosts Medicare fraud detection

Researchers developed a novel AI technique to detect Medicare fraud in big data, using Random Undersampling and supervised feature selection. The method improved classification performance, especially when reducing features, and outperformed models with all available features.

SourceFlorida Atlantic University·JournalJournal Of Big Data·TypeData/statistical analysis·DateJan 31, 2024

Utilizing active microparticles for artificial intelligence

Physicists at Leipzig University have developed a neural network that uses active colloidal particles for artificial intelligence. The system reduces noise and increases efficiency in calculations by utilizing past states of the reservoir.

SourceUniversität Leipzig·JournalNature Communications·TypeExperimental study·DateJan 29, 2024

When lab-trained AI meets the real world, ‘mistakes can happen’

A new study by Northwestern University found that lab-trained AI models are easily misled by tissue contaminants, resulting in errors in diagnoses and vessel damage detection. The researchers suggest improving the problem of quantifying and addressing biological impurities in AI models to enhance accuracy.

SourceNorthwestern University·JournalModern Pathology·DateJan 23, 2024
Davis Instruments Vantage Pro2 Weather Station

Davis Instruments Vantage Pro2 Weather Station offers research-grade local weather data for networked stations, campuses, and community observatories.

Synapses brought to the point

Researchers at ISTA investigated the crucial set of synapses between neurons within the cerebellum, uncovering details of their function and development. The study used advanced techniques to look at the inhibitory synapses in great detail, revealing how they delicately influence the cell's signal output.

SourceInstitute of Science and Technology Austria·JournalNeuron·TypeImaging analysis·DateJan 11, 2024

Close encounters of the supermassive black hole kind: tidal disruption events and what they can reveal about black holes and stars in distant galaxies

Researchers analyze tidal disruption events (TDEs) to estimate the properties of supermassive black holes and stars. The CN22 model, proposed by Syracuse University researchers, provides a new way forward for understanding TDEs and their implications for galaxy evolution.

SourceSyracuse University·JournalThe Astrophysical Journal Letters·DateJan 11, 2024
Apple iPhone 17 Pro

Apple iPhone 17 Pro delivers top performance and advanced cameras for field documentation, data collection, and secure research communications.

More lives can be saved if ambulance staff receive AI-support

Researchers developed mathematical models based on real events data from the Swedish Trauma Registry, showing that AI models outperformed clinical outcomes. The study highlights the potential of AI-powered decision support to improve ambulance staff's ability to assess injury severity and potentially save more lives.

SourceChalmers University of Technology·JournalBMC Medical Informatics and Decision Making·TypeComputational simulation/modeling·DateJan 4, 2024

New research harnesses AI and satellite imagery to reveal the expanding footprint of human activity at sea

A new study uses machine learning and satellite imagery to create the first global map of large vessel traffic and offshore infrastructure, finding a remarkable amount of activity previously unknown. The analysis reveals that industrial fishing and transport activities are concentrated around Africa and south Asia.

SourceGlobal Fishing Watch·JournalNature·TypeData/statistical analysis·DateJan 3, 2024

ASU research reveals regions in U.S. where heat adaptation and mitigation efforts can most benefit future populations

New ASU research models the benefits of combining heat adaptation strategies with mitigation efforts to lessen extreme heat exposure in major US cities. The study finds that Northeast and Midwest regions can expect greater benefits, while Sun Belt cities face limited reductions.

SourceArizona State University·JournalNature Cities·TypeComputational simulation/modeling·DateDec 18, 2023

Artificial intelligence can predict events in people's lives

A recent study using AI to analyze registry data on people's residence, education, income, health, and working conditions can predict life events such as personality and time of death. The model outperforms other advanced neural networks and provides precise answers despite ethical concerns about sensitive data and bias.

SourceTechnical University of Denmark·JournalNature Computational Science·DateDec 18, 2023
Creality K1 Max 3D Printer

Creality K1 Max 3D Printer rapidly prototypes brackets, adapters, and fixtures for instruments and classroom demonstrations at large build volume.

Deep neural networks show promise as models of human hearing

A new study from MIT shows that computational models trained on auditory tasks display an internal organization similar to the human auditory cortex. Models trained on diverse tasks and background noise more closely mimic brain activation patterns.

SourceMassachusetts Institute of Technology·JournalPLOS Biology·DateDec 13, 2023
DJI Air 3 (RC-N2)

DJI Air 3 (RC-N2) captures 4K mapping passes and environmental surveys with dual cameras, long flight time, and omnidirectional obstacle sensing.

US DOT enlists UVA for key roadway safety research

The US Department of Transportation has awarded the University of Virginia's Center for Applied Biomechanics eight competitive research contracts totaling $4.1 million to further automotive safety research. The center will study demographic variations in injury risk, vehicle impact, and pedestrian fatalities.

SourceUniversity of Virginia School of Engineering and Applied Science·DateDec 13, 2023

Predictive models augur that at the end of the century fields will need more water than today

Researchers from the University of Córdoba used machine learning models to predict reference evapotranspiration in Southern Spain until 2100. The projections indicate a significant increase in water needs, with air temperature being the key factor in calculating this parameter.

SourceUniversity of Córdoba·JournalComputers and Electronics in Agriculture·TypeData/statistical analysis·DateDec 11, 2023

Rail industry urged to consider safety risks of space weather

Researchers found that space weather events can trigger 'wrong side' failures in rail signalling systems, which are more hazardous than 'right side' failures. This study highlights the need for the industry to consider the risks of space weather and explore mitigation strategies.

SourceLancaster University·JournalSpace Weather·TypeComputational simulation/modeling·DateDec 11, 2023
AmScope B120C-5M Compound Microscope

AmScope B120C-5M Compound Microscope supports teaching labs and QA checks with LED illumination, mechanical stage, and included 5MP camera.

North Korea and beyond: AI-powered satellite analysis reveals the unseen economic landscape of underdeveloped nations​

A new AI-powered satellite analysis technique reveals the economic conditions of regions with limited data, such as North Korea. The approach combines human input with machine learning to provide detailed economic maps and monitor progress towards Sustainable Development Goals.

SourceThe Korea Advanced Institute of Science and Technology (KAIST)·JournalNature Communications·TypeMeta-analysis·DateDec 7, 2023

AI opens a path to a better understanding of changes in the brain

Researchers use AI to develop dynamic modeling of brain graphs, capturing dynamics in continuous time for more accurate predictions and personalized treatment of brain diseases. The project aims to track disease development in individual patients and identify biomarkers associated with brain disorders.

SourceLehigh University·DateDec 6, 2023
Garmin GPSMAP 67i with inReach

Garmin GPSMAP 67i with inReach provides rugged GNSS navigation, satellite messaging, and SOS for backcountry geology and climate field teams.

Researchers have taught an algorithm to 'taste'

Researchers have developed an AI algorithm that uses people's flavor impressions to make accurate predictions of individual wine preferences. The algorithm combines data from wine labels, user reviews, and sensory tastings to provide personalized recommendations.

SourceUniversity of Copenhagen - Faculty of Science·DateDec 1, 2023

Social media posts that promote tobacco are increasing, AI detection technology finds

A study led by Keck School of Medicine of USC used AI detection technology to analyze influencer content on TikTok between 2019 and 2022, finding an increase in posts that promote e-cigarettes. The prevalence of pod devices, e-juice flavor names, and nicotine warning labels increased significantly over time.

SourceKeck School of Medicine of USC·JournalNicotine & Tobacco Research·TypeContent analysis·DateNov 29, 2023

Defending your voice against deepfakes

Dr. Ning Zhang's AntiFake tool uses adversarial techniques to make it difficult for AI tools to read voice recordings, preventing synthesis of deceptive speech. The tool has achieved over 95% protection rate against state-of-the-art speech synthesizers and is accessible to diverse populations.

SourceWashington University in St. Louis·DateNov 27, 2023

A computer model of the ear developed at IOCB Prague may help to improve cochlear implants

Researchers from IOCB Prague and MED-EL have created a complete computer model of the ear, allowing for detailed simulation of sound conversion and hearing processes. This model may help improve cochlear implants and better compensate hearing impairments.

SourceInstitute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences (IOCB Prague)·JournalHearing Research·TypeComputational simulation/modeling·DateNov 22, 2023
Apple AirPods Pro (2nd Generation, USB-C)

Apple AirPods Pro (2nd Generation, USB-C) provide clear calls and strong noise reduction for interviews, conferences, and noisy field environments.

More is not always better

A new framework demonstrates that proportionately more multi-homing consumers lead to significant efficiency gains when integrating two business platforms. However, this trend also creates higher barriers to entry for new platform firms and may require policy guidance to mitigate potential harms of platform mergers.

SourceKyoto University·JournalJournal of Industrial Economics·TypeComputational simulation/modeling·DateNov 22, 2023

Germany: Sugar tax could save as much as 16 billion euros

A simulation study suggests that a soft drink tax in Germany would reduce sugar consumption and illness rates, including type 2 diabetes, resulting in significant financial savings. The estimated economic benefits of introducing such a tax range from 9.5 billion to 16 billion euros over the next two decades.

SourceTechnical University of Munich (TUM)·JournalPLOS Medicine·TypeComputational simulation/modeling·DateNov 21, 2023
Kestrel 3000 Pocket Weather Meter

Kestrel 3000 Pocket Weather Meter measures wind, temperature, and humidity in real time for site assessments, aviation checks, and safety briefings.

AI can 'lie and BS' like its maker, but still not intelligent like humans

A paper by Anthony Chemero explains how AI thinking differs from human thinking, highlighting the limitations of large language models trained on biased data. Despite generating impressive text, these models can make up facts and produce biased outputs due to their lack of embodiment and understanding of context.

SourceUniversity of Cincinnati·JournalNature Human Behaviour·TypeCommentary/editorial·DateNov 20, 2023

AI finds formula on how to predict monster waves

Scientists at the University of Copenhagen and University of Victoria have developed an AI formula to predict rogue waves, which can split apart ships and damage oil rigs. The new knowledge can make shipping safer by identifying the likelihood of being struck by a monster wave at sea.

SourceUniversity of Copenhagen - Faculty of Science·JournalProceedings of the National Academy of Sciences·DateNov 20, 2023

Epidemic-economic model provides answers to key pandemic policy questions

A new economic-pandemic model predicts that lockdowns and spontaneous risk reduction lead to similar trade-offs between health and the economy. The model, developed by an international team of researchers, accurately predicted death rates and economic impact in New York City during the first wave of the pandemic.

SourceUniversity of Oxford·JournalNature Human Behaviour·TypeData/statistical analysis·DateNov 16, 2023
CalDigit TS4 Thunderbolt 4 Dock

CalDigit TS4 Thunderbolt 4 Dock simplifies serious desks with 18 ports for high-speed storage, monitors, and instruments across Mac and PC setups.

2023 Canadian wildfires impacted air quality as far away as Europe, China

A study published in Advances in Atmospheric Sciences found that record-setting Canadian wildfires had a significant impact on air quality across the Northern Hemisphere. The research used numerical air quality models to simulate the dispersal of pollutants from the fires, revealing widespread effects beyond Canada and the US.

SourceInstitute of Atmospheric Physics, Chinese Academy of Sciences·JournalAdvances in Atmospheric Sciences·DateNov 16, 2023