A new study by MIT researchers has found that blind and sighted readers have sharply different takes on what content is most useful to include in a chart caption. The study created a four-level framework for evaluating charts, which could help develop more effective tools for automatically generating captions and alternative text.
SourceMassachusetts Institute of Technology·JournalIEEE Transactions on Visualization and Computer Graphics·DateOct 13, 2021
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.
Researchers developed an algorithm that leverages medical informatics to predict autism spectrum disorder (ASD) diagnoses in young children. The new approach uses diagnostic codes from past doctor's visits to calculate a risk score, identifying which patients are at risk of receiving a confirmed ASD diagnosis.
SourceUniversity of Chicago Medical Center·JournalScience Advances·DateOct 11, 2021
Researchers at Tokyo University of Agriculture and Technology developed a simple and rapid method to detect amyloid protein in bovine livers using fluorescence fingerprint analysis. This approach allows for quick processing and accurate detection of AA amyloidosis, potentially leading to more efficient diagnostic tools for this disease.
SourceTokyo University of Agriculture and Technology·JournalJournal of Veterinary Diagnostic Investigation·TypeExperimental study·DateOct 7, 2021
A blockchain-based system allows leader robots to signal movements and add transactions to a chain, while malicious leaders forfeit tokens when caught in a lie. This limits the spread of incorrect information and enables follower robots to eventually reach their destination.
SourceMassachusetts Institute of Technology·JournalIEEE Transactions on Robotics·DateOct 5, 2021
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 propose a solution using tethered unmanned aerial vehicles (TUAVs) to receive signals while minimizing uplink exposure. The system uses low-power 'green antennas' that only receive signals and do not radiate EMF, offering increased data transfer speeds.
SourceKing Abdullah University of Science & Technology (KAUST)·JournalIEEE Transactions on Green Communications and Networking·TypeComputational simulation/modeling·DateOct 3, 2021
By analyzing pitch, length, octaves, chords, dynamics, and main theme of four pieces from the mid-1800s Romantic era of classical music, researchers created protein songs with improved musicality. The study found that using a specific music style guided the structure of proteins to produce more pleasant melodies and harmonies.
SourceCell Press·JournalHeliyon·TypeExperimental study·DateSep 29, 2021
SUTD researchers develop sensor that assigns dirt score to areas based on visual and tactile analysis, allowing for more efficient exploration of complex spaces. The sensor is integrated with a smart algorithm that directs the robot to focus on areas with high dirt probability.
SourceSingapore University of Technology and Design·JournalSensors·DateSep 23, 2021
Researchers developed a feature selection algorithm that uses boosting to select relevant features from high-dimensional data sets. The algorithm outperforms other methods in terms of accuracy and number of features used, making it more scalable and explainable.
SourceUniversity of Groningen·JournalExpert Systems with Applications·TypeComputational simulation/modeling·DateSep 23, 2021
A team of researchers, led by University of Houston associate professor Ryan Kennedy, has received a $750,000 NSF grant to create an algorithm-accountability benchmark. The project aims to establish general ways of analyzing algorithms and studying their impact on public policy decisions.
Apple iPhone 17 Pro
Apple iPhone 17 Pro delivers top performance and advanced cameras for field documentation, data collection, and secure research communications.
A multidisciplinary organization has reached consensus on guidelines for performing, interpreting, and reporting MR defecography. The consensus templates aim to standardize care for patients with evacuation disorders of the pelvic floor.
SourceAmerican Roentgen Ray Society·JournalAmerican Journal of Roentgenology·TypeImaging analysis·DateSep 17, 2021
Researchers developed a new, accurate method to detect North Atlantic Right Whale up-calls using Multimodal Deep Learning algorithms. The technology outperformed conventional methods in detecting up-calls, non-up-calls, and false alarms.
SourceFlorida Atlantic University·JournalThe Journal of the Acoustical Society of America·TypeExperimental study·DateSep 15, 2021
A team of scientists from Incheon National University developed a programmable DNA-based microfluidic chip that can perform complex mathematical calculations, such as Boolean logic operations. The chip uses a motor-operated valve system to execute a series of reactions in rapid and convenient manner.
SourceIncheon National University·JournalACS Nano·TypeExperimental study·DateSep 14, 2021
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 from the University of Cambridge have created a real-time approach to predict drone flight paths and intentions, enabling safer use of drones. The solution uses statistical techniques and radar data to identify potential threats before they enter restricted airspace.
A novel mortality risk prediction method helps tailor treatment decisions and transplant needs for patients based on individual symptoms. The new tool uses a random survival forest algorithm to predict individual mortality risk curves, calculate mortality at any given time, and provide a 95% confidence interval.
SourceCactus Communications·JournalChinese Medical Journal·TypeComputational simulation/modeling·DateSep 9, 2021
A study using machine-learning models trained on over 1 million companies reveals that AI can accurately predict the success of startups. The tool, developed by researchers, has the potential to help investors make informed decisions and avoid significant losses.
SourceKeAi Communications Co., Ltd.·JournalThe Journal of Finance and Data Science·TypeComputational simulation/modeling·DateSep 7, 2021
Researchers at The Hebrew University of Jerusalem have developed a new deep learning artificial infrastructure inspired by individual neurons. Their approach uses complex mathematical modeling to replicate the brain's electrical processes and create more intelligent AI systems.
SourceThe Hebrew University of Jerusalem·JournalNeuron·TypeComputational simulation/modeling·DateSep 6, 2021
A new electronic 'nose' has been developed to detect when a lung transplant is beginning to fail, with 86% accuracy. The device uses machine learning algorithms to analyze exhaled breath patterns and identify lung diseases, offering new hope for patients diagnosed with chronic allograft dysfunction.
SourceEuropean Respiratory Society·TypeExperimental study·DateSep 6, 2021
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 developed an algorithm to rank apps based on their privacy scores, allowing users to easily find and install non-intrusive apps. The system considers two scores: permission and listener access, providing a ranking of apps from least intrusive to most private.
SourceUniversity of Groningen·JournalConcurrency and Computation Practice and Experience·TypeExperimental study·DateSep 3, 2021
Researchers developed a new AI algorithm called 'basis profile curve identification' to simplify comparisons between effects of electrical stimulation on the brain. The algorithm may help understand which brain regions interact with each other, guiding placement of electrodes for treating network brain diseases.
SourceMayo Clinic·JournalPLOS Computational Biology·DateSep 3, 2021
A new algorithm, Phe2vec, accurately identified patients with certain diseases, outperforming traditional methods in classifying diagnoses. The study suggests that this automation will facilitate further research in clinical informatics.
SourceThe Mount Sinai Hospital / Mount Sinai School of Medicine·JournalPatterns·TypeExperimental study·DateSep 2, 2021
Researchers developed a method to overlay a virtual scale on acquired endoscope images in real-time, allowing accurate estimation of colorectal polyp sizes. The approach uses triangulation principles and minimal image processing, enabling cost-effective diagnosis without adding extra instrumentation.
SourceSPIE--International Society for Optics and Photonics·JournalJournal of Biomedical Optics·TypeExperimental study·DateSep 2, 2021
Researchers at Technical University of Munich have developed a new machine learning algorithm that can analyze complex markets and their equilibrium strategies. This breakthrough has potential applications in auction theory, wireless spectrum auctions, and more.
SourceTechnical University of Munich (TUM)·JournalNature Machine Intelligence·TypeComputational simulation/modeling·DateSep 1, 2021
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.
Researchers developed an AI tool that can quickly and accurately identify suspicious proteins in the body by analyzing their movements. The method, known as diffusional fingerprinting, uses machine learning algorithms to predict protein behavior with over 90% accuracy.
SourceUniversity of Copenhagen - Faculty of Science·JournalProceedings of the National Academy of Sciences·DateAug 31, 2021
A new unsupervised machine learning algorithm, B-SOiD, developed by Carnegie Mellon University researchers makes studying animal behavior more accurate and efficient. The algorithm identifies patterns in an animal's body position to discover behaviors, removing human error and bias.
SourceCarnegie Mellon University·JournalNature Communications·TypeExperimental study·DateAug 31, 2021
Researchers have developed an approach that predicts accurate structures computationally, overcoming the problem of determining molecular shapes. The algorithm succeeds even when learning from only a few known structures, making it applicable to difficult-to-determine molecules.
Fluke 87V Industrial Digital Multimeter
Fluke 87V Industrial Digital Multimeter is a trusted meter for precise measurements during instrument integration, repairs, and field diagnostics.
Researchers at UC San Diego developed a system that splits a single millimeter wave beam into multiple paths to improve reliability and throughput. The technology achieved high speeds of up to 800 Mbps with 100% reliability, even in outdoor tests over distances of 262 feet.
SourceUniversity of California - San Diego·TypeExperimental study·DateAug 23, 2021
Researchers at Lawrence Berkeley National Laboratory have created a new mathematical algorithm to decipher the rotational dynamics of twisting particles in complex systems. By analyzing X-ray scattering patterns, they can gain insights into the function and properties of materials.
SourceDOE/Lawrence Berkeley National Laboratory·JournalProceedings of the National Academy of Sciences·DateAug 23, 2021
A team of researchers has created a new algorithm that determines the most efficient route for robots to navigate complex spaces. The RBF-Galerkin method combines two existing approaches to find the optimal solution, surpassing other methods in terms of cost and time efficiency.
SourceChinese Association of Automation·JournalIEEE/CAA Journal of Automatica Sinica·DateAug 23, 2021
Researchers used social media posts to predict COVID-19 case counts, achieving correlation rates of up to 0.98 and improving on existing Google Flu Trends algorithm results. The study provides a highly-adaptive approach for feature engineering in epidemic prediction.
SourceKeAi Communications Co., Ltd.·JournalData Science and Management·DateAug 19, 2021
Researchers at University of Michigan develop faster path planning approach for rubble-roving robots, enabling them to find stable paths in treacherous terrain more efficiently. The new algorithm outperformed traditional methods in success and total time to plan, with an 84% success rate in virtual experiments.
SourceUniversity of Michigan·JournalAutonomous Robots·TypeExperimental study·DateAug 13, 2021
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 uses machine-learning algorithms to predict the next phase of a traffic signal, giving bicyclists a smoother ride. The researchers achieved high accuracy with 85% prediction success rate, using LSTM and 1D CNN models.
Researchers at MIT have created an algorithm that enables drones to navigate complex obstacle courses at high speeds without crashing. The new approach combines simulations with real-world experiments, allowing drones to adapt to challenging aerodynamics and find the fastest routes.
SourceMassachusetts Institute of Technology·JournalThe International Journal of Robotics Research·DateAug 10, 2021
Scientists at CiTIUS have developed a new fast support vector classifier (FSVC) that significantly improves data classification using Machine Learning techniques. The FSVC is much faster and operates with less memory than traditional approaches, making it suitable for large-scale classification problems.
SourceCiTIUS·JournalIEEE Transactions on Pattern Analysis and Machine Intelligence·TypeLiterature review·DateAug 6, 2021
A new study developed a wearable technology-based method to assess myoclonus symptoms in the home environment. The method, which measures electrical neuromuscular function and movement, correlates well with assessments performed by experienced physicians.
SourceUniversity of Eastern Finland·JournalClinical Neurophysiology·DateAug 5, 2021
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 developed a novel evidence-based material recommender system that predicts high entropy alloy formation without data descriptors, overcomes data bias and poor availability. The method recommends an FeMnCoNi alloy as the most probable HEA and successfully synthesizes it, confirming its validity.
SourceJapan Advanced Institute of Science and Technology·JournalNature Computational Science·TypeExperimental study·DateAug 4, 2021
A team of computer scientists has developed an assembly selection process that balances representation and fairness in citizens' assemblies. By using a machine learning-based algorithm, the researchers ensure that all volunteers have an equal chance of being chosen, regardless of demographic quotas or education level.
SourceHarvard John A. Paulson School of Engineering and Applied Sciences·JournalNature·DateAug 4, 2021
Researchers from The University of Tokyo Institute of Industrial Science have identified the origin of a phenomenon that occurs when rubber materials under stress rapidly break. Their simplified step-loading model replicates the non-monotonic mechanical behavior observed in these materials, shedding light on the velocity jump phenomenon.
SourceInstitute of Industrial Science, The University of Tokyo·JournalPhysical Review Materials·DateJul 30, 2021
Lehigh University researcher Roberto Palmieri aims to make RDMA technology even faster by revisiting a long-held theory. His goal is to enable all machines to interact with local memory, reducing latency and improving performance.
The University of Washington is leading a new NSF institute focused on using artificial intelligence to understand dynamic systems, which describe chaotic situations where conditions are constantly shifting and hard to predict. The institute aims to integrate fundamental AI theory with applications in critical technological areas.
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.
A machine learning model predicts new quasicrystals with nearly 71% accuracy, identifying key factors such as electron concentration and chemical composition. The discovery sheds light on the stabilization mechanism of quasicrystals, offering a step towards innovative materials like semiconductor and superconducting quasicrystals.
SourceResearch Organization of Information and Systems·JournalAdvanced Materials·DateJul 29, 2021
Researchers from Skoltech and their colleagues developed a neural network that can efficiently generate IUPAC names for organic compounds in accordance with the IUPAC nomenclature system. The network, trained using the Transformer architecture, achieved an accuracy of nearly 99%, outperforming traditional rule-based solutions.
SourceSkolkovo Institute of Science and Technology (Skoltech)·JournalScientific Reports·TypeData/statistical analysis·DateJul 28, 2021
A new algorithm has been developed that can guide a quadrotor drone through a series of waypoints on a circuit, beating the fastest lap of two world-class human pilots. The algorithm generates time-optimal trajectories that fully consider the drones' limitations, resulting in faster and more consistent flight times.
SourceUniversity of Zurich·JournalScience Robotics·DateJul 21, 2021
Researchers from Skoltech have developed a new augmentation technique called MixChannel to help train computer vision algorithms with limited data. This approach outperformed state-of-the-art solutions in testing with three neural networks and can be combined with other methods for even more training data.
SourceSkolkovo Institute of Science and Technology (Skoltech)·JournalRemote Sensing·DateJul 15, 2021
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.
A team of scientists from Michigan State University is using artificial intelligence to analyze plant genomes and predict the functions of unknown genes. With a $1.4 million NSF grant, they aim to help farmers grow crops that can withstand drought and disease.
Researchers have developed new algorithms to record and display color in digital images with greater realism. The methods improve color accuracy for electronic displays and create more natural LED lighting.
Researchers at Columbia University School of Engineering and Applied Science have developed a computer vision technique that enables machines to predict human behavior with higher accuracy. The algorithm leverages higher-level associations between people, animals, and objects to make more intuitive predictions about future actions, ope...
SourceColumbia University School of Engineering and Applied Science·DateJun 27, 2021
The University of Houston's Air Quality Forecasting and Modeling Lab has developed an artificial intelligence system that can accurately predict ozone levels up to two weeks in advance. This breakthrough could lead to improved ways to control high ozone problems and contribute to solutions for climate change issues.
SourceUniversity of Houston·JournalScientific Reports·DateJun 24, 2021
A team of researchers developed an algorithm that can predict when narwhals hunt, opening up new insights into their life and behavior. The algorithm uses acoustic data from clicks and buzzing sounds to map the whales' movement patterns and identify hunting areas.
SourceUniversity of Copenhagen - Faculty of Science·JournalEcological Informatics·DateJun 16, 2021
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.
Researchers aim to improve search results by accounting for users' systematic biases, which can lead to misleading information and poor decision-making. The project seeks to build bias-aware prediction models and promote informed, unbiased decision-making through proactively capturing bias-related search problems.
Using a computer-aided, multi-material 3D-printing method, researchers have created custom healthcare devices with tailored shapes and functions to enhance patient wellbeing. The technique offers a solution for mass-produced medical devices by providing bespoke designs that can improve comfort and durability.
SourceUniversity of Nottingham·JournalAdvanced Science·DateJun 10, 2021
Researchers developed an AI algorithm using 20,000 nights of sleep data to improve diagnoses and treatments for sleep disorders. The algorithm can analyze patient sleep patterns in seconds, freeing up medical hours that can be used to assess and diagnose more patients.
SourceUniversity of Copenhagen - Faculty of Science·Journalnpj Digital Medicine·DateJun 8, 2021
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 bioengineers defined ten overarching classes of constraints on early metabolic networks based on basic chemistry and physics. These abiotic constraints dictate fundamental aspects of chemical processes, influencing the evolution of alternative transport systems and stress response mechanisms.
SourceTechnical University of Denmark·JournalNature Communications·DateJun 7, 2021
A new algorithm allows solving applied problems like electrodynamics and hydrodynamics with a significant time gain of up to 50%. The method uses asynchronous processes and non-overlapping subdomains, providing accurate results with less computation time.
SourceRUDN University·JournalJournal of Computational and Applied Mathematics·DateJun 3, 2021
Researchers at Stanford University have developed a new prototype software to facilitate pattern-making in foundation paper piecing quilting. The algorithm is based on a graph structure called a hypergraph and allows users to design patterns without having to consider the geometry, ordering, and constraints of the technique.
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 at Brown University have developed an algorithm that can remove electrical artifacts from brain signals, enabling simultaneous recording and stimulation in deep brain stimulation devices. This breakthrough could lead to more effective DBS therapy with fewer side effects.
SourceBrown University·JournalCell Reports Methods·DateJun 1, 2021
Researchers developed algorithms to solve curvature-dependent image processing problems using convex optimization, inspired by Euler's elastic curves and Gestalt laws of perception. The new models perform as well as current deep-learning algorithms but provide a deeper understanding of the structures learned.
A RUDN mathematician has developed an algorithm that allows for the optimal distribution of computing tasks between IoT devices and the cloud, resulting in a reduction of power and time costs by about three times. The algorithm also protects devices from malware during data transmission.
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 developed a neuromorphic chip that can detect high-frequency oscillations and recognize complex biosignals in real time. The technology has the potential to improve neurosurgical interventions and monitor epilepsy outside of hospitals.
SourceUniversity of Zurich·JournalNature Communications·DateMay 27, 2021
A team of UK scientists aims to improve understanding of Deep Learning algorithms' decision-making process, making them more trustworthy. The project will combine theory, modeling, data, and computation to unlock the next generation of deep learning.
A new AI algorithm developed by TUM and Imperial College London can detect pneumonia in pediatric x-ray images while maintaining patient privacy. The algorithm uses federated learning, secure aggregation, and differential privacy to keep data onsite and prevent individual identification.
SourceTechnical University of Munich (TUM)·JournalNature Machine Intelligence·DateMay 25, 2021
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.