A new AI-based method distinguishes between stable and progressive cognitive impairment, enabling accurate diagnosis with an accuracy rate of 85%. This technique overcomes the complexity of subtle structural changes in mild cognitive impairment, contributing to achieving Sustainable Development Goal 3.
SourceUniversitat Oberta de Catalunya (UOC)·JournalIEEE Journal of Biomedical and Health Informatics·DateApr 27, 2022
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.
Researchers from the University of Cambridge have developed a hybrid, data-driven approach to the Travelling Salesperson Problem that significantly outperforms current methods. The new approach converges to optimal solutions at a faster rate and produces high-quality solutions under restricted computation time.
A new study indicates that artificial intelligence can accurately predict who will develop pancreatic cancer based on pre-diagnostic CT scan images. The AI tool was trained to analyze textural differences in the pancreas and achieved an accuracy rate of 86% in identifying those who would eventually develop the disease.
SourceCedars-Sinai Medical Center·JournalCancer Biomarkers·DateApr 26, 2022
Researchers at MIT developed an AI method that constrains machine-learning models to suggest molecules with producible chemical structures. The approach guarantees quality and speed, outperforming existing methods in proposing high-quality molecular structures.
SourceMassachusetts Institute of Technology·DateApr 26, 2022
Researchers used AI technologies to conclude that male characters are four times more prevalent in literature than female characters. The study's findings also showed that the discrepancy between male and female characters decreases under female authorship.
SourceUniversity of Southern California·JournalData in Brief·TypeMeta-analysis·DateApr 26, 2022
Researchers developed an AI system using swarm learning to predict cancer from medical images of tissue samples without accessing patient data. The technique improved the detection of genetic changes in colon tumors with high accuracy.
SourceUniversity of Leeds·JournalNature Medicine·DateApr 25, 2022
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 developed a machine-learning method that allows robots to pick up and place never-before-seen objects in random poses, requiring only 10 human demonstrations. The system uses a neural network specifically designed to reconstruct 3D shapes, enabling the robot to generalize to new object orientations.
SourceMassachusetts Institute of Technology·DateApr 25, 2022
A recent study found that an artificial intelligence-based system improved providers' assessments of bladder cancer patients' response to chemotherapy. The AI tool helped doctors from different specialties and experience levels make more accurate diagnoses, with those in academia showing the greatest gains.
SourceMichigan Medicine - University of Michigan·JournalTomography·DateApr 22, 2022
Researchers at Michigan State University have designed a learning-enabled safe controller for systems operating in uncertain environments. The new method, which combines control barrier functions and Lyapunov functions, allows the system to quickly learn uncertainties while achieving maximum safe performance.
SourceChinese Association of Automation·JournalIEEE/CAA Journal of Automatica Sinica·DateApr 22, 2022
Researchers developed a new decision-support tool to optimize ship channel dredging and disposal activities, considering factors like navigability condition deterioration and economic values. The algorithm weighs input from local professionals and projects costs with interest and inflation included.
SourceUniversity of Houston·JournalTransportation Research·TypeNews article·DateApr 21, 2022
A new deep learning method, PDD-Net, uses 3D deep convolutional neural networks to extract deep metabolic imaging indices from PET scans for differential diagnosis of parkinsonian diseases. The method achieved high sensitivity and specificity rates for Parkinson's disease and other parkinsonian syndromes.
SourceSociety of Nuclear Medicine and Molecular Imaging·JournalJournal of Nuclear Medicine·DateApr 21, 2022
Apple iPhone 17 Pro
Apple iPhone 17 Pro delivers top performance and advanced cameras for field documentation, data collection, and secure research communications.
Researchers developed an AI algorithm to model first impressions and accurately predict how people will be perceived based on a photograph of their face. The algorithm's findings align with common intuitions or cultural assumptions, such as people who smile being seen as more trustworthy.
SourceStevens Institute of Technology·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateApr 21, 2022
A study published in Gastroenterology found that artificial intelligence reduced the rate of missed precancerous polyps in colorectal cancer screening by twofold compared to standard colonoscopy. The AI detection method identified smaller, flatter polyps and improved false negative rates.
Researchers at Columbia University have developed an algorithm that generates whisper-quiet sounds to block smart devices from spying on users. The system works by predicting the characteristics of spoken language and generating a signal that can disrupt automatic speech recognition models.
SourceColumbia University School of Engineering and Applied Science·DateApr 18, 2022
A new study by Hiroshima University introduces a novel AI-based technique for estimating site amplification factors from microtremor data. The model demonstrated potential as a predictive tool for characterizing site amplification factors, but notes are needed for further optimization with a larger dataset.
SourceHiroshima University·JournalBulletin of the Seismological Society of America·DateApr 18, 2022
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.
Researchers develop a new AI agent that uses four strategies to solve single-agent stochastic puzzles like Minesweeper, achieving comparable performance to state-of-the-art studies. The approach defines solvability in this context and establishes the boundary between puzzle-solving and game-playing paradigms.
SourceJapan Advanced Institute of Science and Technology·JournalKnowledge-Based Systems·DateApr 14, 2022
Researchers at UCF create brain-like devices that enable AI to function independently, allowing technology like robots and voice assistants to operate in remote areas or space. The devices use parallelism and in-memory computing, similar to the brain, for AI and unsupervised learning.
SourceUniversity of Central Florida·JournalACS Nano·TypeExperimental study·DateApr 11, 2022
A study found that trainee teachers who received AI-generated feedback improved their diagnostic reasoning, identifying potential learning difficulties in pupils more accurately. The AI system analyzed the trainees' work and provided clear, adaptive feedback.
SourceUniversity of Cambridge·JournalLearning and Instruction·DateApr 10, 2022
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.
Scientists develop models that complement simulations using reinforcement learning and numerical methods to predict climate change, turbulent flows, and morphogenesis. This approach enables faster and more energy-efficient predictions, solving complex problems in engineering and climate applications.
SourceHarvard John A. Paulson School of Engineering and Applied Sciences·JournalNature Machine Intelligence·DateApr 8, 2022
An AI model developed by researchers identified a subset of individuals with a 25-fold risk of developing pancreatic cancer within three to 36 months. The model used sequence of medical diagnoses from patient records to predict risk, which was validated in two independent datasets.
SourceAmerican Association for Cancer Research·DateApr 8, 2022
Researchers have gained unprecedented insights into the heart's dynamic ultrastructure using high-resolution electron microscopy. This knowledge is crucial for developing new therapeutic concepts for heart attacks and cardiac arrhythmias.
SourceUniversity of Freiburg·JournalNature Reviews Cardiology·DateApr 8, 2022
Researchers used AI to analyze videos of over 2,500 ASL signs and found that challenging signs are made closer to the signer's face, making them easier for perceivers to recognize. This suggests that ASL has evolved to be more recognizable, improving communication.
SourceBoston University·JournalCognition·DateApr 7, 2022
The UPV study uses AI to investigate subphenotypes in line with clinical characteristics, helping clinicians assess patients and plan resource allocation. The team develops predictive models for early mortality prediction and severity assessment, offering robust and reliable AI in data quality issues.
SourceUniversitat Politècnica de València·JournalJMIR Public Health and Surveillance·TypeMeta-analysis·DateApr 7, 2022
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.
The UNC Charlotte team developed a universal AI algorithm called AutoClass to clean noisy single-cell RNA sequencing (scRNA-Seq) data. The algorithm effectively removes noise and enhances downstream analysis in multiple aspects, demonstrating its robustness and scalability.
SourceUniversity of North Carolina at Charlotte·JournalNature Communications·TypeData/statistical analysis·DateApr 7, 2022
Researchers have developed a new method called Shared Interest that enables users to aggregate, sort, and rank individual explanations of a machine-learning model's reasoning. This technique uses quantifiable metrics to compare how well the model's reasoning matches human thinking, helping to uncover concerning trends in decision-making.
SourceMassachusetts Institute of Technology·DateApr 6, 2022
A new e-nose prototype, NOS.E, can distinguish between six whiskies by brand names, regions, and styles in under four minutes, with 100% accuracy for region detection and 96.15% for brand name identification. The technology has applications beyond whisky, including counterfeiting detection in perfume and wine.
SourceUniversity of Technology Sydney·JournalIEEE Sensors Journal·TypeExperimental study·DateApr 5, 2022
Researchers at the University of Bristol created a 3D-printed artificial fingertip that produces nerve signals similar to those from human tactile nerves. The innovation could improve robot dexterity and prosthetic hand performance by giving them an in-built sense of touch.
SourceUniversity of Bristol·JournalJournal of The Royal Society Interface·TypeExperimental study·DateApr 5, 2022
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.
A study using AI-powered robot scientist Eve analyzed over 12,000 research papers on breast cancer cell biology and found that less than one third of the results were reproducible. The researchers found that significant evidence for repeatability was found in 43 papers, while 22 papers showed replicable results under different conditions.
SourceUniversity of Cambridge·JournalJournal of The Royal Society Interface·DateApr 5, 2022
Researchers at Carnegie Mellon University developed AI-enhanced museum exhibits that increased learning and engagement for elementary school-aged children. The intelligent exhibits featured a virtual assistant, NoRilla, which interacted with visitors, asking questions and guiding them through scientific challenges.
SourceCarnegie Mellon University·JournalJournal of the Learning Sciences·DateApr 5, 2022
Researchers at MIT developed a framework for robotic manipulation systems that can perform complex tasks using a two-stage learning process. This allows robots to learn abstract ideas about manipulating deformable objects, such as pizza dough, and execute skills to complete tasks.
SourceMassachusetts Institute of Technology·DateApr 1, 2022
Researchers integrated biological signals with gold-standard machine learning methods to create emotionally intelligent speech dialog systems. The study found that combining language information with biological signal information improved the AI's performance, making it comparable to human-like emotional recognition.
SourceJapan Advanced Institute of Science and Technology·JournalIEEE Transactions on Affective Computing·DateMar 31, 2022
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 at Yale University developed an AI-based model that can diagnose multiple heart rhythm and conduction disorders using electrocardiogram images, regardless of format or layout. The tool has been validated through multiple international data sources with high accuracy for clinical diagnosis from ECGs.
SourceYale University·JournalNature Communications·DateMar 31, 2022
A machine-learning algorithm detected potential signs of colorectal cancer in high-risk patients who missed routine screenings. The algorithm identified patients as high-risk by analyzing age, gender, and recent CBC results, and subsequent screenings showed significant findings in 70% of the flagged group.
SourceGeisinger Health System·JournalNEJM Catalyst·DateMar 30, 2022
A research team from Universidad Complutense de Madrid developed a machine learning-based tool to predict areas with best access to potable groundwater in Africa. The tool achieved a success rate of close to 90% in initial trials, particularly in Mali and Chad.
SourceUniversidad Complutense de Madrid·JournalHydrology and Earth System Sciences·TypeCase study·DateMar 30, 2022
Researchers at MIT created a process called DualFair that can remove bias from data used to train machine-learning models. The method tackles both label bias and selection bias, significantly reducing discrimination in loan predictions while maintaining high accuracy.
SourceMassachusetts Institute of Technology·JournalMachine Learning and Knowledge Extraction·DateMar 30, 2022
Meta Quest 3 512GB
Meta Quest 3 512GB enables immersive mission planning, terrain rehearsal, and interactive STEM demos with high-resolution mixed-reality experiences.
Researchers used AI to detect dialects in zebra finch songs, showing they play a key role in mate choice. Females prefer males who sing the same dialect as their parents, indicating cultural trait importance over physical appearance.
SourceMax-Planck-Gesellschaft·JournalNature Communications·TypeObservational study·DateMar 29, 2022
A study by RIFS researcher Silke Niehoff analyzed DAX company sustainability reports and found that most prioritize customer demands and efficiency over environmental concerns. However, a few companies are using digitalization to promote sustainable development and serve as role models.
SourceResearch Institute for Sustainability (RIFS) – Helmholtz Centre Potsdam·JournalBusiness Strategy and the Environment·TypeLiterature review·DateMar 28, 2022
A Bayes Business School study found that supply chain professionals overestimate technology benefits and underestimate needs, leading to disappointment. The study offers a list of goals, constraints, and benefits to help managers better calibrate expectations.
SourceCity St George’s, University of London·JournalProduction and Operations Management·TypeSurvey·DateMar 28, 2022
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.
Researchers developed an AI-driven image analysis pipeline that identified novel cellular hallmarks of Parkinson's disease from images of over a million skin cells. The platform can distinguish between patient cells and healthy controls, revealing new signatures for potential therapeutic targets.
SourceNew York Stem Cell Foundation·JournalNature Communications·TypeImaging analysis·DateMar 25, 2022
Researchers developed a novel approach to diagnose, monitor, and predict the course of myocarditis using CMR parameters and AI. The goal is to provide personalized counseling for athletes and optimize treatment options.
SourceInselspital, Bern University Hospital·JournalJACC Cardiovascular Imaging·TypeSystematic review·DateMar 24, 2022
Scientists from Cardiff University have developed a new artificial intelligence method to automate the extraction of information from large collections of museum specimens. The 'image segmentation' method can accurately locate and bound different visual regions on images, allowing for faster and more efficient digitization processes.
SourceCardiff University·JournalMachine Vision and Applications·DateMar 24, 2022
Researchers developed an AI-based computer algorithm that accurately predicted heart health risks based on voice recordings alone, identifying a high biomarker score associated with increased CAD-related events. The study suggests voice technology could be a powerful screening tool in remote healthcare delivery and telehealth.
The Human Brain Project (HBP) has brought together neuroscientists from different disciplines to work collaboratively on common goals. The HBP researchers outline their scientific approach and illustrate the potential of EBRAINS infrastructure for neuroscience research.
SourceHuman Brain Project·JournaleNeuro·TypeSystematic review·DateMar 22, 2022
Anker Laptop Power Bank 25,000mAh (Triple 100W USB-C)
Anker Laptop Power Bank 25,000mAh (Triple 100W USB-C) keeps Macs, tablets, and meters powered during extended observing runs and remote surveys.
Researchers developed an AI algorithm that can measure coronary plaque buildup in five seconds, predicting heart attack risk within five years. The tool was trained on images from 921 people and matched results with invasive tests considered highly accurate.
SourceCedars-Sinai Medical Center·JournalThe Lancet Digital Health·DateMar 22, 2022
Researchers have developed a new forecasting approach using machine learning and anonymized datasets from Facebook that significantly outperforms conventional models for projecting COVID trends at the county level. The model captures shifting trends in numbers reflecting lockdowns, waning immunity, or masking policies.
SourceUniversity of Colorado at Boulder·JournalInternational Journal of Data Science and Analytics·TypeData/statistical analysis·DateMar 21, 2022
A study found that telemedicine and community screening for diabetic retinopathy are highly cost-effective in rural and urban China. The results suggest that adopting telemedicine screening programs at the national primary care level is economically reasonable.
SourceHealth Data Science·JournalHealth Data Science·TypeComputational simulation/modeling·DateMar 21, 2022
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 pilot study suggests that an artificial intelligence system called CRANE can help cardiac experts diagnose rejection and estimate its severity more accurately. This could lead to faster diagnosis and treatment, as well as reduced variability in expert agreement, ultimately improving heart transplant outcomes.
SourceBrigham and Women's Hospital·JournalNature Medicine·DateMar 21, 2022
Researchers used a contrast pattern mining algorithm on publicly available data from 16,000 participants in the T1D Exchange Clinic Registry. The study found individuals with an immediate family history of Type 1 diabetes were more frequently diagnosed with hypertension and other co-occurring conditions.
SourceUniversity of Missouri-Columbia·JournalDiabetes Care·DateMar 21, 2022
A new machine learning study analyzed 10 years of weather data to identify three major categories of weather patterns and their effects on thunderstorms. The study aims to isolate the impact of aerosols, tiny particles suspended in the atmosphere, on storm severity.
SourceDOE/Brookhaven National Laboratory·JournalJournal of Geophysical Research Atmospheres·TypeObservational study·DateMar 21, 2022
A new AI method accurately estimates timetable robustness within milliseconds, enabling efficient optimization. This improves balance between passenger needs and economic conditions.
SourceMartin-Luther-Universität Halle-Wittenberg·JournalTransportation Research Part C Emerging Technologies·TypeComputational simulation/modeling·DateMar 17, 2022
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 from the University of Cambridge and Oslo identify a century-old mathematical paradox as the Achilles' heel of modern AI. The paradox limits the existence of stable and accurate neural networks, making many AI systems untrustworthy in high-risk areas.
SourceUniversity of Cambridge·JournalProceedings of the National Academy of Sciences·TypeComputational simulation/modeling·DateMar 17, 2022
Researchers created BirdBot, a robotic leg inspired by the ostrich's anatomy, which achieves energy efficiency through a mechanical coupling of muscles and tendons. The robot leg requires fewer motors than other machines, making it suitable for large size applications.
SourceMax Planck Institute for Intelligent Systems·JournalScience Robotics·TypeObservational study·DateMar 16, 2022
Mayo Clinic researchers used AI to predict antidepressant outcomes in children and adolescents with major depressive disorder. They identified six depressive symptoms and assessed them using the Children's Depression Rating Scale-Revised to predict treatment outcomes.
SourceMayo Clinic·JournalJournal of Child Psychology and Psychiatry·DateMar 16, 2022
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.
Scientists developed an AI approach to model and map the Earth's natural features in greater detail and accuracy. The new system can recognise intricate features and aspects of the terrain far beyond traditional methods, generating enhanced-quality environmental maps.
SourceUniversity of Exeter·JournalMathematical Geosciences·DateMar 16, 2022
The European Lung Cancer Congress 2022 focused on the latest advancements in lung cancer treatment, including personalized strategies for better patient care. The congress also explored emerging therapies and molecular sub-types to enhance precision medicine.
SourceEuropean Society for Medical Oncology·DateMar 16, 2022
Researchers at NC State University have developed a 'self-driving lab' that uses artificial intelligence and fluidic systems to advance our understanding of metal halide perovskite nanocrystals. The technology can autonomously dope MHP nanocrystals, adding manganese atoms on demand, allowing for faster control over properties.
SourceNorth Carolina State University·JournalAdvanced Intelligent Systems·TypeExperimental study·DateMar 16, 2022
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 reexamined hundreds of experiments on neural activity and consciousness, finding that experiment parameters determine results. The study used artificial intelligence to predict which theory would be supported by each experiment with 80% success.
SourceTel-Aviv University·JournalNature Human Behaviour·DateMar 16, 2022
Researchers found that social media consumers trust verified accounts less than unverified ones if the content is inconsistent with the influencer's brand. Verified accounts can actually harm trust and may not be more effective at selling products.
SourceUniversity of Maine·JournalJournal of Consumer Behaviour·DateMar 11, 2022
A global study found symptoms of COVID-19 differ significantly between countries and individuals with underlying health conditions. Researchers analyzed data from 78,299 individuals in 190 countries, revealing varied symptom profiles that can inform clinical practice, public health messaging, and treatment strategies.
SourceImperial College London·JournalEClinicalMedicine·DateMar 11, 2022
Nikon Monarch 5 8x42 Binoculars
Nikon Monarch 5 8x42 Binoculars deliver bright, sharp views for wildlife surveys, eclipse chases, and quick star-field scans at dark sites.
A Bocconi University study used machine learning to analyze data on 2038 couples in Germany, finding that life satisfaction and housework are key predictors of union dissolution. The analysis also revealed complex interactions between variables, including the impact of personal traits like openness and extraversion.
SourceBocconi University·JournalDemography·TypeData/statistical analysis·DateMar 10, 2022