Researchers have proposed an innovative quantum algorithm that effectively solves combinatorial optimization problems with constraints in a short time. The pVSQA algorithm uses a quantum device to generate a variational quantum state and transform infeasible solutions into feasible ones, achieving near-optimal performance.
SourceWaseda University·JournalIEEE Transactions on Quantum Engineering·TypeComputational simulation/modeling·DateMar 25, 2024
A recent study published in JAMA found that Black patients are less likely to receive a heart transplant than white patients, with odds of acceptance being higher for white candidates. The study also revealed that the intersection of race and gender often worsens access for Black women.
SourceIndiana University School of Medicine·JournalJAMA·DateMar 25, 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.
A new algorithm combines deep learning and transfer learning to retrieve advanced geosynchronous radiation imager (AGRI) aerosol optical depth with high accuracy. The approach facilitates feature selection and offers applicability to other multispectral sensors.
Researchers at Klick Labs developed an algorithm to detect deepfakes with 80% accuracy by analyzing speech pause patterns, offering a solution to the growing problem of AI-generated content. The study's findings suggest that vocal biomarkers can distinguish between real and fake voices, providing a novel approach to flagging deepfakes.
SourceKlick Applied Sciences·JournalJMIR Biomedical Engineering·TypeData/statistical analysis·DateMar 21, 2024
A recent study analyzed data from multiple social media platforms over three decades, finding that toxic interactions are a persistent aspect of online discussions. The study suggests user resilience to negativity and highlights the importance of understanding human behavior in digital environments.
SourceCity St George’s, University of London·JournalNature·TypeData/statistical analysis·DateMar 20, 2024
A recent study integrates domain knowledge into data-driven machine learning models for well logging reservoir parameter prediction. The model, PINN, uses petrophysics constraints to guide training and improve accuracy, especially in cases with small sample sizes.
SourceKeAi Communications Co., Ltd.·JournalArtificial Intelligence in Geosciences·TypeCase study·DateMar 18, 2024
Researchers developed a new training tool to help AI programs account for human dishonesty, especially in mortgage and insurance applications. The modified AI was better able to detect inaccurate information from users.
SourceNorth Carolina State University·JournalJournal of Business and Economic Statistics·TypeComputational simulation/modeling·DateMar 18, 2024
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.
A review published in Intelligent Computing outlines the strengths of automatic approaches to designing metaheuristics, which can lead to more successful outcomes and reduce redundant, metaphor-based algorithms. The authors encourage research that relies on automatic design, utilizing modular software frameworks and configuration tools.
SourceIntelligent Computing·JournalIntelligent Computing·TypeLiterature review·DateMar 14, 2024
Researchers at Bar-Ilan University discovered that each filter recognizes small clusters of images, with sharpened recognition as layers progress. This breakthrough can improve AI performance by reducing latency and memory usage while maintaining accuracy.
SourceBar-Ilan University·JournalScientific Reports·DateMar 12, 2024
A 20-year analysis found that calcium and vitamin D supplements reduced cancer mortality by 7%, but increased cardiovascular disease mortality by 6% in postmenopausal women. The study suggested that cancer incidence depends on pre-supplementation status, while CVD mortality is higher among supplement users.
SourceAmerican College of Physicians·JournalAnnals of Internal Medicine·TypeNews article·DateMar 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.
Researchers aim to address LVAD shortcomings, reducing blood damage and clotting risk through innovative designs and coatings. A novel flexible stented blood inlet and slippery hydrophilic coatings will be used to prevent flow stasis and clot formation.
Researchers found counterexamples to ADOPT's termination and optimality properties, potentially leading to suboptimal solutions or failure to terminate. They proposed a modified version that corrects these issues, ensuring the algorithm's termination and optimality.
SourceUniversity of Tsukuba·JournalArtificial Intelligence·DateMar 5, 2024
Researchers developed a deep learning algorithm to remove probe effects from AFM images, enabling the resolution of material features smaller than the probe's tip. This breakthrough allows for accurate three-dimensional surface profiles, crucial for nanoelectronics development and scientific studies.
SourceUniversity of Illinois Grainger College of Engineering·JournalNano Letters·DateFeb 28, 2024
A study compared traditional logistic regression models and machine learning algorithms to predict the best surgical technique for patients with submucosal tumors. The traditional regression approach was found to outperform ML algorithms, with morphology ranking as the highest contributor to prediction accuracy.
SourceKeAi Communications Co., Ltd.·JournalGastroenterology & Endoscopy·TypeData/statistical analysis·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.
Explainable AI methods have been developed to make audio models more interpretable and transparent. Researchers categorize existing audio XAI methods into two groups: general methods and audio-specific methods, offering new possibilities for improving the trustworthiness of AI decision-making in audio tasks.
SourceIntelligent Computing·JournalIntelligent Computing·DateFeb 26, 2024
Researchers at the University of South Florida have created an algorithm that can reconstruct a hidden scene in 3D using an ordinary digital camera, enabling users to see around obstacles. The technology has broad applications in various fields, including car safety, law enforcement, and military efforts.
SourceUniversity of South Florida·JournalNature Communications·TypeImaging analysis·DateFeb 20, 2024
Researchers have defined what a premature aging disease is and developed tools to diagnose progeria patients, allowing them to identify new syndromes. The study also identified correlations between progeroid syndromes and other conditions, providing a significant step forward in understanding premature aging.
SourceImpact Journals LLC·JournalAging-US·TypeObservational study·DateFeb 20, 2024
A new study from the Computational Social Science Lab at the University of Pennsylvania found that YouTube's recommendation system has a moderating effect on user behavior. Contrary to popular narratives, users' own political interests and preferences play the primary role in what they choose to watch.
SourceUniversity of Pennsylvania·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateFeb 19, 2024
Researchers at North Carolina State University are developing a suite of performance metrics to standardize the evaluation of self-driving labs in chemistry and materials science. These metrics aim to compare different lab technologies and identify areas for improvement, ultimately advancing the field and accelerating discovery.
SourceNorth Carolina State University·JournalNature Communications·TypeCommentary/editorial·DateFeb 15, 2024
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.
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
Researchers at UC Santa Cruz find that popular link prediction metrics are flawed and do not accurately measure algorithm performance. They recommend using a new metric, VCMPR, to benchmark link prediction tasks and highlight the importance of accurate metrics in machine learning decision-making.
SourceUniversity of California - Santa Cruz·JournalProceedings of the National Academy of Sciences·DateFeb 12, 2024
A comprehensive online tool, Metrics Reloaded, has been developed to select suitable metrics for AI-assisted image analysis. The tool helps physicians and scientists identify relevant variables for their specific task, increasing understanding of key problems in AI-assisted image analysis.
SourceGerman Cancer Research Center (Deutsches Krebsforschungszentrum, DKFZ)·JournalNature Methods·DateFeb 12, 2024
Sony Alpha a7 IV (Body Only)
Sony Alpha a7 IV (Body Only) delivers reliable low-light performance and rugged build for astrophotography, lab documentation, and field expeditions.
A new study from MIT researchers found that doctors are less accurate in diagnosing skin diseases based on images of patients with darker skin. The researchers also discovered that an artificial intelligence algorithm can assist doctors in improving their diagnosis, although the improvements were more pronounced for lighter skin tones.
SourceMassachusetts Institute of Technology·JournalNature Medicine·DateFeb 6, 2024
Researchers from the University of Cambridge have developed a robotic sensor that reads Braille at twice the speed of humans, achieving 87% accuracy. The breakthrough uses machine learning algorithms to 'deblur' images and recognize letters, paving the way for potential applications in robotics and prosthetics.
SourceUniversity of Cambridge·JournalIEEE Robotics and Automation Letters·DateJan 29, 2024
Researchers at UTSA's Department of Physics and Astronomy have used deconvolution algorithms to enhance images of galaxy NGC 5728 obtained by the James Webb Space Telescope. The study reveals a faint extended feature that could be part of an outflow from a supermassive black hole interacting with the host galaxy.
SourceUniversity of Texas at San Antonio·JournalThe Astronomical Journal·DateJan 25, 2024
Researchers have developed a novel optical neural network architecture that achieves nonlinear optical computation by precisely controlling ultrashort pulse propagation in multimode fibers. This approach streamlines the need for energy-intensive digital processes, achieving comparable accuracy with significantly reduced parameters.
SourceSPIE--International Society for Optics and Photonics·JournalAdvanced Photonics·DateJan 25, 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.
Researchers have invented a simple yet effective algorithm called SIEVE to optimize cache management. By labeling objects as 'zero' or 'one', the system efficiently evicts the least recently used items, reducing computational complexity and bugs.
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·DateJan 17, 2024
The Lehigh University Plasma Control Group is working on advanced controls and machine learning to improve plasma dynamics simulation capabilities and stabilize superheated gases in future reactors. The goal is to address technological issues with ITER and FPP, ensuring safe and controllable operation.
Researchers at UB have developed a new deepfake detection algorithm that reduces biases in facial recognition, with one method classifying videos based on demographics and the other relying on features not visible to the human eye. The algorithms improved fairness metrics and reduced disparities in accuracy across races and genders.
SourceUniversity at Buffalo·TypeData/statistical analysis·DateJan 16, 2024
GQ GMC-500Plus Geiger Counter
GQ GMC-500Plus Geiger Counter logs beta, gamma, and X-ray levels for environmental monitoring, training labs, and safety demonstrations.
Researchers from Bar-Ilan University discover a possible mechanism underlying the brain's efficient shallow learning, enabling it to perform complex classification tasks with similar accuracy as deep learning. The study proposes a wider and higher architecture as a complementary mechanism to deep architectures.
SourceBar-Ilan University·JournalPhysica A Statistical Mechanics and its Applications·DateJan 11, 2024
Gurdip Singh's project aims to develop a unified model to study cyber-physical systems and design distributed algorithms for fundamental problems in pervasive systems. The proposed model will be integrated into existing simulation tools to evaluate scenarios involving different types of physical entities and phenomena.
Boleslaw Szymanski and his team developed a clustering method called SpeakEasy2: Champagne to group molecular data, which showed consistent performance across diverse applications. The method was tested on bulk gene expression, single-cell data, protein interaction networks, and large-scale human networks data, revealing its effectiven...
SourceRensselaer Polytechnic Institute·JournalGenome Biology·TypeComputational simulation/modeling·DateJan 8, 2024
Aranet4 Home CO2 Monitor
Aranet4 Home CO2 Monitor tracks ventilation quality in labs, classrooms, and conference rooms with long battery life and clear e-ink readouts.
A computer vision system developed by University of Malaga engineers estimates vehicle speeds in real time using a single camera, reducing complexity and costs. The algorithm, published in Neurocomputing, aims to improve vehicle safety and has potential applications in autonomous driving and driver assistance.
SourceUniversity of Malaga·JournalNeurocomputing·TypeComputational simulation/modeling·DateDec 20, 2023
Researchers developed a new solver algorithm for the MPAS-Ocean ocean circulation model, reducing run time by 45% and enabling semi-implicit stability. This allows for faster climate predictions and energy efficiency, as well as reduced computational power consumption.
SourceDOE/Oak Ridge National Laboratory·JournalThe International Journal of High Performance Computing Applications·TypeComputational simulation/modeling·DateDec 14, 2023
A new commentary in JAMA Pediatrics recommends improving adolescents' media information literacy skills and promoting inclusive content to combat health misinformation spread on social media. This approach aims to harness the potential of social media as a tool for positive connections and mental well-being.
SourceBoston University School of Public Health·JournalJAMA Pediatrics·TypeCommentary/editorial·DateDec 11, 2023
New research from the Max Planck Institute challenges previous claims of giant exomoons around Kepler-1625b and Kepler-1708b. The study uses a computer algorithm to analyze observations, finding that 'planet-only' interpretations are more conclusive than initially thought.
SourceMax-Planck-Gesellschaft·JournalNature Astronomy·TypeData/statistical analysis·DateDec 7, 2023
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.
A new software algorithm intelligently combines vocals and instrumentals from different songs, mimicking professional music composition techniques. The result is a unique blend of pleasing lyrics and exciting instrumentals that appeal to listeners, particularly hip-hop fans.
Researchers developed an adaptable machine learning algorithm to measure driver 'workload' using driving performance signals, enabling real-time adjustments to in-vehicle systems for enhanced safety and user experience. The system can respond to changes in the driver's behavior, status, road conditions, or characteristics.
SourceUniversity of Cambridge·JournalIEEE Transactions on Intelligent Vehicles·DateDec 7, 2023
Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, decreasing energy consumption and eliminating the need for a digital twin. This approach is more biologically plausible and shows improved speed, robustness, and reduced power consumption compared to other methods.
SourceEcole Polytechnique Fédérale de Lausanne·JournalScience·TypeExperimental study·DateDec 7, 2023
Researchers from MIT and ETH Zurich developed a filtering technique to simplify a key intermediate step in MILP solvers, speeding up the process by 30-70% without compromising accuracy. A machine-learning model is then used to pick the best combination of algorithms for a specific optimization problem.
SourceMassachusetts Institute of Technology·DateDec 5, 2023
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
Fluke 87V Industrial Digital Multimeter
Fluke 87V Industrial Digital Multimeter is a trusted meter for precise measurements during instrument integration, repairs, and field diagnostics.
A team of researchers at North Carolina State University has developed a new experiment to better understand human moral judgments in traffic scenarios. The study aims to collect data for training autonomous vehicles to make
SourceNorth Carolina State University·JournalAI & Society·TypeExperimental study·DateDec 1, 2023
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
A new composite material, engineered using computer algorithms and 3D printing, can change its behavior in response to temperature changes. The material is designed to perform specific tasks depending on the environment, enabling future generations of autonomous robotics.
SourceUniversity of Illinois at Urbana-Champaign, News Bureau·JournalScience Advances·TypeExperimental study·DateNov 28, 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.
Researchers at ETH Zurich developed an autonomous excavator called HEAP to construct a 6-meter-high and 65-meter-long dry-stone wall. The excavator uses sensors, machine vision, and algorithms to place stones in the desired location, achieving a high level of precision and speed.
SourceETH Zurich·JournalScience Robotics·TypeExperimental study·DateNov 22, 2023
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
A new theoretical framework evaluates the utilization efficiency of mobile power sources in power grids, considering various failure scenarios and structural resilience. The study emphasizes deploying mobile power sources to improve grid survivability and rapid recovery capabilities during disasters.
SourceKeAi Communications Co., Ltd.·JournalJournal of Economy and Technology·TypeComputational simulation/modeling·DateNov 19, 2023
Researchers developed a novel method to model market regime dynamics using efficient frontiers. The approach outperforms benchmarks and provides interpretable results, allowing for better understanding of portfolio optimization.
SourceKeAi Communications Co., Ltd.·JournalThe Journal of Finance and Data Science·TypeData/statistical analysis·DateNov 19, 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.
A new study published in The Journal of Finance and Data Science introduces the topological tail dependence theory, a methodology for predicting stock market volatility. The approach incorporates persistent homology information, enhancing the accuracy of models and detecting complex correlations.
SourceKeAi Communications Co., Ltd.·JournalThe Journal of Finance and Data Science·TypeExperimental study·DateNov 13, 2023
Scientists have developed an AI system that accurately maps the surface area and outline of giant icebergs in one-hundredth of a second. This technology surpasses manual interpretation methods, which can take several minutes to delineate an iceberg's outline, and offers insights into their impact on the polar environment.
SourceUniversity of Leeds·JournalThe Cryosphere·TypeData/statistical analysis·DateNov 8, 2023
A new smartphone app using the APRI+ALBI score increases the safety of liver surgery by providing an individualized risk assessment for patients prior to resection. The score offers a cheaper and less invasive option with comparable predictive power compared to standard preoperative tests.
SourceMedical University of Vienna·JournalAnnals of Surgery·DateNov 2, 2023
A new deblurring algorithm has been developed to improve the resolution of microscopy images without amplifying noise. This breakthrough technique, called 'deblurring by pixel reassignment,' uses local gradients to sharpen images while preserving larger structures.
SourceSPIE--International Society for Optics and Photonics·JournalAdvanced Photonics·DateOct 31, 2023
A team of researchers at Tampere University and Eastern Washington University used weather records to validate the effectiveness of musical characteristics in enhancing data interpretation. The study found that musical sounds can be a powerful complement to traditional data visualization methods.
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.
A new AI-driven mapping study from the University of Copenhagen has discovered a billion tons of hidden biomass in Europe, including trees outside forested areas. The research found that countries like Denmark, Netherlands, and UK have significant tree cover outside forests, which can impact biodiversity and climate models.
SourceUniversity of Copenhagen - Faculty of Science·JournalScience Advances·DateOct 25, 2023
A brain-computer interface (BCI) has been successfully used to restore control of home devices for a patient with ALS, allowing the individual to navigate a communication board and smart devices without recalibration. The BCI device was implanted on the surface of the brain areas responsible for speech and upper limb function, enabling...
SourceJohns Hopkins Medicine·JournalAdvanced Science·DateOct 25, 2023
A new study published in the University of East Anglia shows that automated insulin delivery technology can help pregnant women with type 1 diabetes better manage their blood sugars. The technology, known as Hybrid Closed-Loop or Artificial Pancreas, helps to substantially reduce maternal blood sugars throughout pregnancy.
SourceUniversity of East Anglia·JournalNew England Journal of Medicine·TypeRandomized controlled/clinical trial·DateOct 24, 2023
A new asynchronous distributed PEV charging protocol has been developed to manage the charging patterns of scattered electric vehicles, ensuring network reliability and seamless user experience. The protocol preserves user privacy by not disclosing individual user-state information, addressing concerns in previous studies.
SourceKeAi Communications Co., Ltd.·JournalJournal of Economy and Technology·TypeComputational simulation/modeling·DateOct 18, 2023
Lerrel Pinto aims to create robots that can perform a variety of tasks using algorithms and data collection methods. He seeks to address the trade-off between dexterity and generality in robotics.
Meta Quest 3 512GB
Meta Quest 3 512GB enables immersive mission planning, terrain rehearsal, and interactive STEM demos with high-resolution mixed-reality experiences.
A team of Japanese researchers created a big data-driven model that accurately forecasts key economic indicators in real time, eliminating the need for aggregated semi-macroeconomic data. The approach leverages search engine query data to identify highly correlated queries and provides timely insights into economic trends.
SourceKeAi Communications Co., Ltd.·JournalThe Journal of Finance and Data Science·TypeComputational simulation/modeling·DateOct 16, 2023