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
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
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
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
Apple iPhone 17 Pro
Apple iPhone 17 Pro delivers top performance and advanced cameras for field documentation, data collection, and secure research communications.
A new computer model of a human lung is being used to simulate the interaction of radiation with lung tissue at a cellular level. This could lead to more targeted treatments for cancer and reduce damage caused by radiotherapy.
SourceUniversity of Surrey·JournalCommunications Medicine·TypeComputational simulation/modeling
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
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
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
GoPro HERO13 Black
GoPro HERO13 Black records stabilized 5.3K video for instrument deployments, field notes, and outreach, even in harsh weather and underwater conditions.
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
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
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
Researchers at George Mason University are exploring security concerns around prompts for large language models (LLMs), focusing on attack and defense strategies with explainable AI and human involvement.
SourceGeorge Mason University
Researchers at University of Virginia Health System developed a new approach to machine learning that identifies drugs minimizing harmful scarring after heart attacks. The tool predicts and explains drug effects for other diseases as well.
SourceUniversity of Virginia Health System·JournalProceedings of the National Academy of Sciences
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.
Researchers created an AI-enabled model to help mitigate global ammonia emissions from agriculture. By optimizing fertilizer management, the model can effectively reduce emissions by up to 38%, with Asia having the highest potential for reduction.
SourceHong Kong University of Science and Technology·JournalNature·TypeComputational simulation/modeling
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
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
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
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
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.
Researchers found that more extreme and frequent droughts could lead to a nearly five-fold increase in total area burned, from 231 sq mi in 2016 to over 17,000 sq mi by 2100. Fires would also become more frequent, returning to certain forest points every five years.
SourceNorth Carolina State University·JournalFire Ecology·TypeComputational simulation/modeling
Researchers developed an AI-driven algorithm that accurately predicts death and complications after percutaneous coronary intervention (PCI). The tool uses patient feedback to provide a patient-centered, individualized risk prediction score.
SourceMichigan Medicine - University of Michigan·JournalEuropean Heart Journal·TypeComputational simulation/modeling
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
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
A new European research project, SMARTS, aims to improve air travel efficiency by redesigning flexible airspace sectors using artificial intelligence. The €2million project will create accurate predictive models and develop innovative sector configuration plans to reduce passenger delays, increase productivity, and lower emissions.
SourceLancaster University
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.
The METEOR Expedition M197 is a research project studying the Eastern Mediterranean Sea's future changes in response to climate change and human activities. The project investigates nutrient supply, marine ecosystems, and carbon export from surface to deep waters.
SourceHelmholtz Centre for Ocean Research Kiel (GEOMAR)
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
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
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
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
Apple Watch Series 11 (GPS, 46mm)
Apple Watch Series 11 (GPS, 46mm) tracks health metrics and safety alerts during long observing sessions, fieldwork, and remote expeditions.
Researchers used a fiber optic cable to study the Arctic seafloor's seismic structure and temperature. They identified areas with large amounts of ice and detected changes in temperature over seasons, which will help understand global climate change.
SourceDOE/Sandia National Laboratories
A NSF-funded project, MABLE, is developing a digital app using crowdsensing, AI, and robotics to empower individuals with responsive maps and turn-by-turn instructions. The app aims to improve accessibility and navigation for persons with visual or mobility impairments, such as those with low vision and wheelchair users.
Klick Applied Sciences unveils LOVENet, an AI framework that rapidly identifies new therapeutic indications for existing drugs. The algorithm integrates large language model and structured knowledge graph technology to offer a fresh perspective on new potential applications.
SourceKlick Applied Sciences·TypeComputational simulation/modeling
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
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.
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
Researchers found that aging can accelerate evolution, favoring faster adaptation to changing worlds. This means senescence becomes an advantageous characteristic under natural selection.
SourceHun-Ren Ökológiai Kutatóközpont·JournalBMC Biology·TypeComputational simulation/modeling
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
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.
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
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
The University of Texas at Arlington is awarded a $1.1 million grant to train and mentor researchers in mathematical techniques for addressing cancer biology, neurology, and vector-borne diseases. The program aims to increase diversity in science research by recruiting underrepresented scholars.
SourceUniversity of Texas at Arlington
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.
Researchers at West Virginia University are using artificial intelligence to analyze habanero peppers and develop new methods for predicting genetic traits. The goal is to improve crop yields and prevent genetic diseases, with potential applications in human health.
SourceWest Virginia University
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.
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
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
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
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.
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
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
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
A computer simulation by Nagoya University researchers found that human behavior, such as lockdowns and isolation measures, influenced the evolution of new COVID-19 strains. The study discovered that SARS-CoV-2 variants with higher peak viral loads were more successful at spreading, but also had shorter infection durations.
SourceNagoya University·JournalNature Communications
The new AI system can reliably recognize symbols on cuneiform tablets, allowing for the search and comparison of multiple tablets. This breakthrough enables new research questions and access to ancient texts.
SourceMartin-Luther-Universität Halle-Wittenberg
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.
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
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
A new tool called Facemap uses deep neural networks to relate mouse facial movements to neural activity in the brain. This allows researchers to track and quantify movements and correlate them with brain activity, bringing them one step closer to understanding how the brain uses persistent, widespread signals.
SourceHoward Hughes Medical Institute·JournalNature Neuroscience
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.
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
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
A novel robotic system developed by USC researchers can help clinicians accurately assess a patient's rehabilitation progress. The method generates an 'arm nonuse' metric using machine learning and a socially assistive robot to track how much a patient is using their weaker arm spontaneously.
SourceUniversity of Southern California·JournalScience Robotics
The UTSA MATRIX AI Consortium has received a $2 million grant to create new AI models that rapidly learn, adapt, and operate in uncertain conditions. The team aims to bridge the gap between human brain processing efficiency and current AI limitations, enabling more efficient and adaptive AI systems.
SourceUniversity of Texas at San Antonio
Yu Yang's NSF-funded research aims to reduce vehicle emissions and promote the use of electric bikes and scooters by developing socially informed traffic signal control systems. The project involves a three-pronged method that uses low-cost mobile air-quality sensing, spatial-temporal graph diffusion learning, and reinforcement learnin...
Rigol DP832 Triple-Output Bench Power Supply
Rigol DP832 Triple-Output Bench Power Supply powers sensors, microcontrollers, and test circuits with programmable rails and stable outputs.
Researchers at Oak Ridge National Laboratory used quantum biology and artificial intelligence to sharpen the CRISPR Cas9 genome editing tool, improving its efficiency on microbes. The new model revealed key features about nucleotides that enable better guide RNA selection.
SourceDOE/Oak Ridge National Laboratory·JournalNucleic Acids Research·TypeComputational simulation/modeling
Researchers at UC Berkeley introduce prediction-powered inference (PPI), a method to correct machine learning model output and provide valid confidence intervals. PPI allows scientists to incorporate AI predictions into their work without making assumptions about the model's limitations or data biases.
SourceUniversity of California - Berkeley·JournalScience·TypeData/statistical analysis
Researchers used computer modeling to analyze cancer incidence and mortality rates among diverse populations, confirming the validity of the approach. The studies aimed to address critical public health issues by identifying leverage points to increase equity in cancer burden among Black populations.
SourceGeorgetown University Medical Center·JournalJNCI Journal of the National Cancer Institute·TypeComputational simulation/modeling
Researchers redesigned IVF needles to reduce fluid flow damage to eggs, improving oocyte collection and IVF success rates. The study uses computer models and mathematical simulations to optimize the design, which has been successfully tested in cattle, with plans for human trials.
SourceUniversity of Warwick·JournalJournal of Biomechanics