Researchers at Tohoku University and Shanghai Jiao Tong University developed a machine learning method to predict the growth of carbon nanostructures on metal surfaces. The approach combines theoretical models with data from chemistry experiments to control the dynamics of material growth, leading to improved quality and efficiency.
SourceAdvanced Institute for Materials Research (AIMR), Tohoku University·JournalNature Communications·DateJan 31, 2024
Researchers developed a risk calculator to predict individualized risk of right heart failure after left heart pump surgery, tailoring care to each patient. The STOP-RVF calculator uses machine learning and considers variables such as pre-existing health conditions, medications, and demographic information.
SourceUniversity of Utah Health·JournalJAMA Cardiology·TypeData/statistical analysis·DateJan 31, 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
Apple iPhone 17 Pro
Apple iPhone 17 Pro delivers top performance and advanced cameras for field documentation, data collection, and secure research communications.
Researchers have developed an AI-driven test that accurately diagnoses ovarian cancer in women clinically classified as normal, improving detection of early-stage disease. The test uses machine learning and blood metabolite information to assign a probability of disease presence or absence, offering a more clinically informative approach.
SourceGeorgia Institute of Technology·JournalGynecologic Oncology·TypeComputational simulation/modeling·DateJan 29, 2024
Lehigh University researcher Dominic DiFranzo is developing an AI-powered platform, Social Media TestDrive, to equip youth with skills to navigate social media safely. The platform uses conversational AI tools to provide instant feedback and interactive simulations, empowering students to be 'upstanders' against cyberbullying.
Researchers at UTA developed a novel learning-based framework to predict Alzheimer’s disease progression. The DETree strategy can pinpoint clinical status within the disease spectrum, allowing for more accurate planning and potential applications in other diseases with multiple stages of development.
SourceUniversity of Texas at Arlington·JournalPharmacological Research·TypeData/statistical analysis·DateJan 26, 2024
Researchers developed a predictive model to detect users and content related to Islamic State extremists on social media, identifying potential propaganda messages and their characteristics. The study's findings can help social media companies and law enforcement agencies track and prevent the spread of extremist propaganda.
SourcePenn State·JournalSocial Network Analysis and Mining·DateJan 26, 2024
Researchers developed a novel deep learning method to study crystal structure and molecular interactions of perchlorate salts. The analysis revealed that the explosives' nature is linked to chemical bonding and intermolecular interactions.
SourceTokyo University of Science·JournalFirePhysChem·TypeComputational simulation/modeling·DateJan 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.
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
The American College of Radiology has issued a joint statement with four other radiology societies to address the development and use of AI tools in radiology. The statement emphasizes the need for increased monitoring of AI utility and safety, advocating for collaboration among developers, clinicians, purchasers, and regulators.
SourceElsevier·JournalJournal of the American College of Radiology·TypeCommentary/editorial·DateJan 25, 2024
Researchers propose a novel method to balance data utility and privacy in IoT devices, minimizing added noise for effective privacy protection. The approach considers inherent errors in measurements, optimizing differential privacy standards.
SourceThe University of Electro-Communications·TypeComputational simulation/modeling·DateJan 24, 2024
The TRAILS AI Institute has awarded eight seed grants totaling $1.5 million to advance AI design, development and governance. The funded projects include developing AI chatbots for smoking cessation and designing animal-like robots for autism support.
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 new study by Northwestern University found that lab-trained AI models are easily misled by tissue contaminants, resulting in errors in diagnoses and vessel damage detection. The researchers suggest improving the problem of quantifying and addressing biological impurities in AI models to enhance accuracy.
SourceNorthwestern University·JournalModern Pathology·DateJan 23, 2024
Researchers developed an AI model using CT images to predict lymph node metastasis in non-functional pancreatic neuroendocrine tumors. The model achieved high accuracy, even for smaller tumors, and can help guide surgical decisions.
SourceUniversity of Tsukuba·JournalEClinicalMedicine·DateJan 23, 2024
A new study by George Washington University researchers predicts an escalation of daily bad-actor AI activity globally by mid-2024, posing a significant threat to election results. The study provides the first quantitative analysis of the misuse of AI for disinformation during elections.
SourceGeorge Washington University·JournalPNAS Nexus·DateJan 23, 2024
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 developed a novel hybrid approach combining traditional mathematical methods and cutting-edge machine learning to improve EIT analysis of building structures. The new method, called AND, reduces errors in reconstructing foreign objects' position and size compared to conventional EIT methods.
SourceTokyo University of Science·JournalAIP Advances·TypeExperimental study·DateJan 22, 2024
The project aims to develop a standardized Next Generation Science Storyline that can be delivered in any high school classroom, increasing science literacy and critical thinking among students. Pop-omics, a popcorn-based curriculum, will also provide hands-on lessons on machine learning and AI, connecting with the national AITC program.
SourceUniversity of Illinois College of Agricultural, Consumer and Environmental Sciences·DateJan 19, 2024
A new algorithm integrates deep learning and federated learning for accurate channel estimation, outperforming state-of-the-art models in sparse and dense scenarios. The algorithm's use of a user motivation scheme and federated learning framework provides robustness, adaptability, and scalability.
SourceIntelligent Computing·JournalIntelligent Computing·DateJan 18, 2024
A groundbreaking study uses machine learning to predict treatment resistance in cervical cancer by analyzing genetic mutations. The algorithm identified molecular assemblies driving treatment resistance and pinpointed tumors most susceptible to therapy, resulting in improved patient outcomes.
SourceUniversity of California - San Diego·JournalCancer Discovery·DateJan 18, 2024
CDMENet outperforms fully and semi-supervised counterparts in grape yield prediction using Mean Absolute Error (MAE) and Root Mean Square Error (RMSE). The algorithm's robustness is demonstrated with limited labeled data, highlighting its potential as a cost-effective tool in agricultural yield estimation.
SourcePlant Phenomics·JournalPlant Phenomics·TypeExperimental study·DateJan 17, 2024
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.
Scientists at Kyushu University use machine learning to identify promising green energy materials, accelerating the search for hydrogen fuel cell efficiency and expanding material discovery capabilities. Two new candidate materials with unique crystal structures have been successfully synthesized.
SourceKyushu University·JournalAdvanced Energy Materials·TypeExperimental study·DateJan 17, 2024
Researchers used quantum support vector machines to classify flow separation and angle of attack with increased accuracy, solving complex problems faster and more accurately than classical methods.
SourceIntelligent Computing·JournalIntelligent Computing·TypeExperimental study·DateJan 16, 2024
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
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.
A team of South Korean scientists used machine learning to discover the secrets of cell variability, revealing a parallel structure that reduces heterogeneity among cells. This finding has far-reaching effects on cancer treatment and improvement in chemotherapy efficacy.
SourceInstitute for Basic Science·JournalPatterns·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 developed a platform combining automated experiments with AI to predict chemical reactivity, greatly accelerating the design process for new drugs. A machine learning model predicts where molecules will react and how reaction sites vary under different conditions, enabling precise tweaks to complex molecules.
SourceUniversity of Cambridge·JournalNature Communications·DateJan 15, 2024
Using machine learning and computational modeling, Washington State University researchers found six good candidates for solvents that can extract materials on the moon and Mars usable in 3D printing. The solvents, called ionic liquids, are salts in a liquid state.
SourceWashington State University·JournalThe Journal of Physical Chemistry B·DateJan 11, 2024
A systematic analysis of cancer cells identifies 370 candidate priority drug targets across 27 cancer types. Researchers used machine learning methods to find promising targets and linked them to specific biological markers and genetic features.
SourceWellcome Trust Sanger Institute·JournalCancer Cell·TypeData/statistical analysis·DateJan 11, 2024
Researchers from HIRI have developed a new machine learning approach using data integration and AI to improve predictions of CRISPRi efficacy, revealing that gene features matter more than guide RNA itself. The study provides valuable insights for designing effective CRISPRi experiments.
SourceHelmholtz Centre for Infection Research·JournalGenome Biology·TypeData/statistical analysis·DateJan 11, 2024
A new transparent brain implant has been developed to read deep neural activity from the surface, providing a step closer to building a minimally invasive brain-computer interface. The technology enables high-resolution data about deep neural activity by using recordings from the brain surface and correlating them with calcium spikes i...
SourceUniversity of California - San Diego·JournalNature Nanotechnology·DateJan 11, 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.
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
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.
The Internet-of-Batteries (IoB) system utilizes IoT principles to gather data from EV batteries, analyzing health and performance, identifying faults, and optimizing usage. Machine learning approaches enhance decision-making for improved battery performance, increased range, and reduced costs.
SourceGreen Energy and Intelligent Transportation·JournalGreen Energy and Intelligent Transportation·TypeExperimental study·DateJan 10, 2024
A new Dartmouth study finds that seasonal snowpacks have shrunk significantly over the past 40 years due to human-driven climate change. The sharpest global warming-related reductions are in the Southwestern and Northeastern United States, as well as in Central and Eastern Europe.
SourceDartmouth College·JournalNature·TypeData/statistical analysis·DateJan 10, 2024
A new AI-based method developed by IT specialists and physicians at the University of Münster can predict genetic features in leukaemia patients using high-resolution bone marrow images. The method extracts genetic aberrations from large datasets, enabling early diagnosis and targeted treatment without waiting for genetic analyses.
SourceUniversity of Münster·JournalBlood Advances·DateJan 9, 2024
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.
A new study introduces a machine learning-aided non-invasive imaging technique that can rapidly visualize liver fat distribution, enabling early diagnosis and treatment of liver diseases. The method uses near-infrared hyperspectral imaging and machine learning to differentiate between types of lipids in the liver.
SourceTokyo University of Science·JournalScientific Reports·TypeExperimental study·DateJan 9, 2024
Researchers developed a machine learning-based method to estimate chemical attributes of spice extracts by measuring fluorescence emitted by polyphenols and flavonoids. The approach integrated data from multiple dilution levels, achieving highly accurate results.
SourceUniversity of Tsukuba·JournalFood Chemistry·DateJan 9, 2024
A combination of 11 proteins can predict long-term disability outcomes in multiple sclerosis, making it possible to tailor treatments to individual patients. The study identified a specific protein, neurofilament light chain, as a reliable biomarker for disease activity.
SourceLinköping University·JournalNature Communications·TypeObservational study·DateJan 9, 2024
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 University of Oxford study has used machine learning to bridge the 'reality gap' between predicted and observed behavior in quantum devices. The approach enables accurate predictions and informs compensation approaches to mitigate unwanted effects of material imperfections.
SourceUniversity of Oxford·JournalPhysical Review X·DateJan 9, 2024
A new app, MindEar, has shown promising results in reducing tinnitus symptoms in just weeks through a combination of cognitive behavioral therapy, mindfulness, and relaxation exercises. The app is now available for individuals to trial on their smartphones, offering hope for millions affected by tinnitus.
SourceMindEar·JournalFrontiers in Audiology and Otology·TypeRandomized controlled/clinical trial·DateJan 9, 2024
Researchers developed a deep-learning-based algorithm to identify tissue cellular neighborhoods (TCNs) in breast and colorectal tumors, revealing new fibroblast-enriched and granulocyte-enriched TCNs associated with high-risk disease subtypes. The study aims to better understand cancer evasion mechanisms and potential therapeutic targets.
SourceChildren's Hospital of Philadelphia·JournalNature Methods·TypeExperimental study·DateJan 8, 2024
Apple MacBook Pro 14-inch (M4 Pro)
Apple MacBook Pro 14-inch (M4 Pro) powers local ML workloads, large datasets, and multi-display analysis for field and lab teams.
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
A recent study investigates how deceased individuals' consent affects societal acceptance of digital resurrection. The research found that explicit consent increases acceptability by two points, while 59% of respondents disagree with their own digital resurrection, highlighting the need for clear legal regulations on the subject.
SourceDe Gruyter·JournalAsian Journal of Law and Economics·TypeSurvey·DateJan 4, 2024
A new study uses machine learning and satellite imagery to create the first global map of large vessel traffic and offshore infrastructure, finding a remarkable amount of activity previously unknown. The analysis reveals that industrial fishing and transport activities are concentrated around Africa and south Asia.
SourceGlobal Fishing Watch·JournalNature·TypeData/statistical analysis·DateJan 3, 2024
The iStar tool uses advanced techniques to capture both detailed views of individual cells and broader tissue patterns, enabling doctors to diagnose cancers that might otherwise go undetected. It also predicts gene activities at near-single-cell resolution, paving the way for molecular disease diagnosis.
SourceUniversity of Pennsylvania School of Medicine·JournalNature Biotechnology·TypeData/statistical analysis·DateJan 2, 2024
A prognostic study of 1,000 very preterm infants found predictive modeling can identify those at risk for cognitive impairment. This allows for targeted interventions to be implemented early, potentially improving outcomes.
SourceJAMA Network·JournalJAMA Network Open·DateDec 26, 2023
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 study of 100 adults found a significant link between poor sleep quality and higher systolic blood pressure, kidney function impairment, and liver function issues. The research highlights the potential of home-based electroencephalography for assessing sleep quality.
SourceUniversity of Tsukuba·JournalScientific Reports·DateDec 25, 2023
A study of 70 autistic youths in psychiatric hospitals found wearable biosensing and machine learning can identify impending aggressive behaviors. The findings suggest a potential for developing adaptive intervention systems to prevent aggression.
SourceJAMA Network·JournalJAMA Network Open·DateDec 21, 2023
A new study from the University of Ottawa and Copenhagen Business School finds that removing human bias from organizational processes can lead to autonomous systems that create their own environments. This could limit human ability to recognize automation biases, notice environmental shifts, and take action.
SourceUniversity of Ottawa·JournalJournal of the Association for Information Systems·TypeLiterature review·DateDec 20, 2023
A new AI system, Coscientist, has demonstrated its ability to autonomously learn about Nobel Prize-winning chemical reactions and design successful laboratory procedures. The system achieved this in just a few minutes, outperforming human chemists in some cases.
SourceU.S. National Science Foundation·JournalNature·TypeExperimental study·DateDec 20, 2023
Creality K1 Max 3D Printer
Creality K1 Max 3D Printer rapidly prototypes brackets, adapters, and fixtures for instruments and classroom demonstrations at large build volume.
Deep learning models have been developed to analyze X-ray diffraction data, improving the search for new materials. The models can sift through large amounts of data generated by X-ray diffraction techniques, providing valuable insights into material structure and properties.
SourceUniversity of Rochester·Journalnpj Computational Materials·DateDec 19, 2023
Researchers are leveraging AI/ML to improve health outcomes, but human judgment is still crucial for model selection and data quality. Explainable AI can enhance transparency and acceptance in clinical practice.
A study found that clinicians can be fooled by biased AI models even with provided explanations, leading to serious declines in accuracy. While accurate AI models improved diagnostic decisions for some demographics, biased models worsened decisions for others.
SourceMichigan Medicine - University of Michigan·JournalJAMA·DateDec 19, 2023
Researchers used AI to analyze electroretinogram signals from children's eyes, identifying unique features associated with autism spectrum disorder (ASD). The test, completed within 10 minutes, shows promise for diagnosing ASD more accurately and efficiently than current methods.
SourceUniversity of South Australia·JournalResearch in Autism Spectrum Disorders·TypeRandomized controlled/clinical trial·DateDec 17, 2023
Apple AirPods Pro (2nd Generation, USB-C)
Apple AirPods Pro (2nd Generation, USB-C) provide clear calls and strong noise reduction for interviews, conferences, and noisy field environments.
A study by Virginia Tech researchers found that ChatGPT can identify location-specific environmental justice challenges in large, high-density population areas. However, the tool was limited in its ability to provide contextualized information on local environmental justice issues.
SourceVirginia Tech·JournalTelematics and Informatics·DateDec 15, 2023
A team of MIT researchers has created a computational model that can calculate the structures of transition states in chemical reactions much more quickly than traditional methods. The new model uses machine learning and can generate accurate predictions for thousands of reactions, enabling chemists to design new catalysts and fuels.
SourceMassachusetts Institute of Technology·DateDec 15, 2023
Researchers developed a machine-learning model to predict the risk of visual impairment in people with severe shortsightedness. The study used a dataset of 967 Japanese patients and found that the logistic regression-based model performed well at predicting visual impairment at 5 years.
SourceTokyo Medical and Dental University·JournalJAMA Ophthalmology·DateDec 13, 2023
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.
The EXPLORE toolkit offers interactive visual analytics and machine learning to analyze galaxy data, identify unusual stars, and visualize the lunar surface. Users can create immersive experiences, including 3D models of the Moon and interactive sky maps.
A new study from MIT shows that computational models trained on auditory tasks display an internal organization similar to the human auditory cortex. Models trained on diverse tasks and background noise more closely mimic brain activation patterns.
SourceMassachusetts Institute of Technology·JournalPLOS Biology·DateDec 13, 2023
The São Paulo School of Advanced Science on Precision Livestock Farming aims to empower graduate students and early-career researchers with machine learning, statistical tools, and database systems. The school will provide a platform for them to process vast amounts of data and develop a multidisciplinary approach to PLF.
SourceFundação de Amparo à Pesquisa do Estado de São Paulo·DateDec 13, 2023