Researchers at NC State University developed an autonomous system called SmartDope to synthesize 'best-in-class' materials for specific applications in hours or days. It uses a self-driving lab to manipulate variables, characterize optical properties, and update its understanding of the synthesis chemistry through machine learning.
SourceNorth Carolina State University·JournalAdvanced Energy Materials·TypeExperimental study·DateNov 13, 2023
Researchers developed a deep convolutional neural network to pinpoint cardiac catheter tip locations in photoacoustic images, achieving high precision and recall. The approach has the potential to replace fluoroscopy during cardiac interventions, leading to safer procedures.
SourceSPIE--International Society for Optics and Photonics·JournalJournal of Biomedical Optics·DateNov 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.
Recent study by University of Bonn researchers reveals that machine learning models in drug discovery research are not as effective as thought, relying heavily on memorized data. The findings suggest that AI applications in this field are overrated and should be supplemented with chemical knowledge and simpler methods.
SourceUniversity of Bonn·JournalNature Machine Intelligence·TypeComputational simulation/modeling·DateNov 13, 2023
The UTSA MATRIX AI Consortium has received a $2 million grant to create new AI models that rapidly learn, adapt, and operate in uncertain conditions. The team aims to bridge the gap between human brain processing efficiency and current AI limitations, enabling more efficient and adaptive AI systems.
SourceUniversity of Texas at San Antonio·DateNov 9, 2023
Yu Yang's NSF-funded research aims to reduce vehicle emissions and promote the use of electric bikes and scooters by developing socially informed traffic signal control systems. The project involves a three-pronged method that uses low-cost mobile air-quality sensing, spatial-temporal graph diffusion learning, and reinforcement learnin...
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
Kestrel 3000 Pocket Weather Meter
Kestrel 3000 Pocket Weather Meter measures wind, temperature, and humidity in real time for site assessments, aviation checks, and safety briefings.
Researchers developed an AI system that can scan through college application essays to identify evidence of key personal traits, such as leadership and perseverance. The system aims to reduce algorithmic bias and provide more holistic admissions decisions.
SourceUniversity of Colorado at Boulder·JournalScience Advances·DateNov 7, 2023
Researchers from the University of Cambridge have developed a virtual reality application that allows users to build figures and shapes without interacting with menus. The 'HotGestures' system uses machine learning to recognize hand gestures, providing fast and effective shortcuts for tool selection and usage.
SourceUniversity of Cambridge·JournalIEEE Transactions on Visualization and Computer Graphics·DateNov 7, 2023
A recent study published in Nature Communications validates MSIntuit CRC, an AI-driven digital pathology diagnostic, as a reliable pre-screening tool for colorectal cancer. The diagnostic accurately rules out nearly 50% of MSS patients while correctly classifying over 96% of MSI patients.
SourceOwkin, Inc.·JournalNature Communications·TypeData/statistical analysis·DateNov 6, 2023
A University of Houston research team integrated machine learning with SHAP analysis to identify the city's air pollution sources more accurately. The study found that the oil and gas industry had the highest impact on emissions, while shortwave radiation and relative humidity were key influencing factors for overall ozone concentration.
SourceUniversity of Houston·JournalEnvironmental Pollution·DateNov 6, 2023
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 at Johns Hopkins Medicine created a machine learning model to calculate percent necrosis in osteosarcoma patients after chemotherapy. The model achieved an 85% positive correlation with musculoskeletal pathologist results, increasing accuracy to 99% when one outlier was removed. This could help provide patients with earlier...
SourceJohns Hopkins Medicine·JournalJournal of Orthopaedic Research®·DateNov 2, 2023
A Lancaster University academic argues that AI and algorithms contribute to polarization, radicalism, and political violence, posing a threat to national security. The paper examines how AI has been securitized throughout its history, highlighting the need for better understanding and management of its risks.
SourceLancaster University·JournalTechnology in Society·TypeCommentary/editorial·DateNov 2, 2023
A new study found that high-peace countries are characterized by an increased prevalence of words related to optimism for the future and fun, while low-peace countries feature more references to control and fear. The research used a machine learning model to identify these linguistic patterns in media articles from 18 countries.
SourcePLOS·JournalPLOS ONE·TypeComputational simulation/modeling·DateNov 1, 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.
Researchers are combining biology, physics, computer science, and engineering to design electric circuits that mimic the brain's adaptive behavior. The goal is to create a more efficient AI application that can learn from history and adapt without significant energy consumption.
SourceUniversity of Texas at San Antonio·DateNov 1, 2023
Researchers at the University of Sydney have developed a physical neural network that can learn and remember data in real-time, using nanowire networks to mimic brain-inspired learning and memory functions. The network achieved high accuracy in benchmark image recognition tasks and demonstrated its capacity for online learning.
SourceUniversity of Sydney·JournalNature Communications·TypeExperimental study·DateNov 1, 2023
The Portuguese team TWIZ from NOVA School of Science and Technology secured 1st Place in the Alexa TaskBot Challenge 2 with a multimodal conversational agent. The winning team was led by João Magalhães and included CMU Portugal Affiliated Ph.D. students Diogo Tavares and Diogo Silva, who improved their visual interface as their biggest...
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 team of scientists discovered two types of neurons in fruit flies and mice that enable them to identify distinct smells. With experience, these animals can learn to differentiate between very similar odors, a process that could improve machine-learning models and AI systems.
SourceCold Spring Harbor Laboratory·JournalPLOS Biology·DateOct 31, 2023
A new project aims to help robots assess risks and make autonomous decisions. The research focuses on quantifying ambiguity in robot perception to improve safety and efficiency.
Researchers developed an autonomous measurement algorithm to optimize electrical resistance measurements in materials libraries. The new approach enables faster characterization of materials by actively selecting the next measurement area.
SourceRuhr-University Bochum·JournalDigital Discovery·DateOct 30, 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.
Researchers at Osaka University use a robotic system to automate key experimental processes, accelerating the search for new materials. They evaluate 576 thin-film semiconductor samples using photoabsorption spectroscopy, optical microscopy, and time-resolved microwave conductivity analyses.
SourceOsaka University·JournalJACS Au·TypeExperimental study·DateOct 30, 2023
Researchers found self-supervised models generate activity patterns similar to mammalian brains, suggesting an organizing principle. The models learn representations of the physical world to make accurate predictions, potentially unlocking human-labeled data limitations.
SourceMassachusetts Institute of Technology·DateOct 30, 2023
Researchers from the UMA developed an open-source platform called Open Twins to create more accessible and versatile digital twins. This platform enables the simulation of real-world assets based on virtual replicas, predicting future behaviors and detecting anomalies, leading to more efficient companies that make data-driven decisions.
SourceUniversity of Malaga·JournalComputers in Industry·TypeComputational simulation/modeling·DateOct 27, 2023
Researchers developed an AI-powered method to measure urban decay using street view images, identifying object classes like potholes and graffiti. The model showed promise in detecting urban decline in cities like San Francisco and Mexico City, with potential applications for informing urban policy and planning.
SourceUniversity of Notre Dame·JournalScientific Reports·TypeData/statistical analysis·DateOct 27, 2023
Researchers at Osaka University have developed a novel platform that combines nanopore technology with artificial intelligence to detect different coronavirus variants quickly. The platform was tested on 241 saliva samples and detected the Omicron variant 100% of the time.
SourceOsaka University·JournalLab on a Chip·TypeRandomized controlled/clinical trial·DateOct 26, 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.
University of Alberta researchers have identified taurine as a key player in predicting poor clinical outcomes and treating long COVID. A predictive test and proposed supplement trial aim to minimize symptoms and improve patient outcomes.
SourceUniversity of Alberta·JournalCell Reports Medicine·DateOct 26, 2023
Researchers at New York University developed a novel learning procedure called Meta-learning for Compositionality (MLC) that enables neural networks to make compositional generalizations. MLC outperforms existing approaches and is on par with, and in some cases better than, human performance.
SourceNew York University·JournalNature·TypeExperimental study·DateOct 25, 2023
A new property evaluation method for nanoparticles' shape anisotropy has been developed using deep learning, achieving classification accuracy of approximately 80% on single particle basis. This breakthrough solves a long-standing issue in nanoparticle evaluation dating back to Einstein's time.
SourceInnovation Center of NanoMedicine·JournalAPL Machine Learning·TypeExperimental study·DateOct 24, 2023
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.
NTU Singapore has expanded its research collaborations with French partners to push the boundaries of science. The university has inked six new partnerships and renewed existing collaborations across various fields, including quantum physics, nuclear energy, and sustainability.
A new AI-based tool estimates patient-specific cancer survival rates using machine learning, offering personalized prognosis for patients with breast, thyroid, and pancreatic cancers. The Cancer Survival Calculator differs from existing estimators by incorporating multiple factors beyond disease stage.
SourceAmerican College of Surgeons·TypeData/statistical analysis·DateOct 20, 2023
Researchers used Fourier-transform infrared spectroscopy and machine learning to predict adsorption capacity of pharmaceuticals and personal care products on long-term aged microplastics. The study successfully captured the complexity of the system with up to 98% accuracy, providing new insights into the interactions between microplast...
SourceSingapore University of Technology and Design·JournalJournal of Hazardous Materials·DateOct 19, 2023
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 MIT found that similarity-focused generative AI models falter when tasked with designing new products, highlighting the need to prioritize innovation in engineering tasks. By adjusting training objectives and metrics, AI can be an effective 'co-pilot' for engineers, enabling faster creation of innovative products.
SourceMassachusetts Institute of Technology·JournalComputer-Aided Design·DateOct 19, 2023
A proposed AI-centric medical curriculum aims to educate future healthcare practitioners in digital technology, with a focus on technical concepts, validation, ethics, and appraisal. The curriculum caters to varying student levels, from consumers to developers, promoting interprofessional collaboration and adaptable learning.
SourceNational University of Singapore, Yong Loo Lin School of Medicine·JournalCell Reports Medicine·TypeObservational study·DateOct 17, 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.
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.
Scientists designed an mRNA nanovaccine using machine learning to overcome delivery barriers, promoting strong immune responses and activating the STING pathway to kill tumor cells. The therapeutic strategy demonstrated stronger anti-tumor effects in melanoma and colorectal cancer models.
SourceScience China Press·JournalNational Science Review·DateOct 16, 2023
Researchers from GIST propose a novel approach to mitigate overfitting in pretrained models used for voice pathology detection, achieving 12.36% and 15.38% improvement in recall using contrastive learning.
SourceGIST (Gwangju Institute of Science and Technology)·JournalIEEE Signal Processing Letters·TypeComputational simulation/modeling·DateOct 16, 2023
Lehigh University researchers have developed a technique using machine learning and advanced spectroscopy to characterize waste feedstocks for gasification-produced hydrogen. This process has the potential to eliminate hazards associated with stored coal waste and reclaim valuable resources, while also emitting fewer pollutants than tr...
Researchers from Mindgard and Lancaster University exposed vulnerabilities in major Large Language Models (LLMs) that can be copied for as little as $50. This 'model leeching' attack allows attackers to gain insights into how LLMs work, enabling them to launch targeted attacks with an increased success rate.
Researchers developed an AI-based method to estimate BMD from plain X-ray images using a hierarchical learning framework. The approach showed high performance and reliability in estimating BMD, with correlation coefficients of 0.88 and 0.92 compared to DXA and QCT.
SourceNara Institute of Science and Technology·JournalMedical Image Analysis·TypeImaging analysis·DateOct 11, 2023
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 Linköping University developed an AI-based method applicable to various medical and biological issues, accurately estimating people's chronological age and determining smoking status. The models identify previously known epigenetic markers used in other models, but also new markers associated with conditions.
SourceLinköping University·JournalBriefings in Bioinformatics·TypeComputational simulation/modeling·DateOct 11, 2023
Researchers developed a new method to estimate gradients and derivatives on quantum computers, enabling faster computations. This technique can be applied to various fields such as cryptography, optimization, and materials science.
SourceTohoku University·JournalEPJ Quantum Technology·DateOct 11, 2023
A research team led by HKUST developed an AI-powered model to predict glioma patients' prognosis and identify early predictors of tumor evolution under therapy. The model, CELLO2, uses genomic and transcriptomic data from 544 glioma patients to accurately predict treatment-induced hypermutation and grade progression.
SourceHong Kong University of Science and Technology·JournalScience Translational Medicine·TypeData/statistical analysis·DateOct 10, 2023
A new generative model named scPoli enables multi-scale representations of cells and samples, facilitating the integration of high-quality large-scale datasets for novel biological insights and disease understanding. This model accelerates atlas building and usage, ultimately accelerating disease understanding and therapy development.
SourceHelmholtz Munich (Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH))·JournalNature Methods·TypeComputational simulation/modeling·DateOct 9, 2023
Apple iPhone 17 Pro
Apple iPhone 17 Pro delivers top performance and advanced cameras for field documentation, data collection, and secure research communications.
Researchers found that using predictive models in healthcare can alter relationships between patient data and outcomes, leading to further degradation. Implementing a system to track individuals impacted by machine learning predictions is crucial to maintaining model performance.
SourceThe Mount Sinai Hospital / Mount Sinai School of Medicine·JournalAnnals of Internal Medicine·TypeComputational simulation/modeling·DateOct 9, 2023
A team of New York University computer scientists created a neural network that can explain how it reaches its predictions, shedding light on the intricacies of RNA splicing. The breakthrough reveals how a small, hairpin-like structure in RNA can decrease splicing and provides new insights into the transfer of genomic information.
SourceNew York University·JournalProceedings of the National Academy of Sciences·TypeComputational simulation/modeling·DateOct 6, 2023
The Army Research Laboratory has chosen Texas A&M University for its High-Throughput Materials Discovery for Extreme Environments Center (HTMDEC). The center aims to develop novel materials for extreme conditions, reducing experimentation costs and duration. By leveraging machine learning, physics-based simulations, and collaboration, ...
Sky & Telescope Pocket Sky Atlas, 2nd Edition
Sky & Telescope Pocket Sky Atlas, 2nd Edition is a durable star atlas for planning sessions, identifying targets, and teaching celestial navigation.
Researchers at the University of Texas at Austin developed an AI algorithm that accurately predicted 14 earthquakes within about 200 miles of their location and strength, with only one false warning. The system detected statistical bumps in real-time seismic data and paired them with previous earthquakes to make predictions.
SourceUniversity of Texas at Austin·JournalBulletin of the Seismological Society of America·TypeCase study·DateOct 5, 2023
A new machine learning approach called CellOT allows for precise modeling and prediction of cell changes and drug effects. This enables personalized cancer treatments by identifying the traits of resistant cells, paving the way for more effective therapies.
Researchers from Imperial College London and the University of Nottingham used machine learning to identify 'atomic shapes' that form basic pieces of geometry in higher dimensions. The findings reveal unexpected patterns in these shapes and demonstrate the potential for machine learning to accelerate mathematical discoveries.
SourceImperial College London·JournalNature Communications·DateOct 4, 2023
Researchers discovered that monk parakeets possess a unique tone of voice, known as a voice print, similar to humans. This finding raises the possibility that other vocally flexible species may also have a voice print.
SourceMax-Planck-Gesellschaft·JournalRoyal Society Open Science·TypeObservational study·DateOct 3, 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 from SUTD successfully applied reinforcement learning to a video game problem, creating complex movement designs that outperformed top human players. The study's findings have the potential to impact robotics and automation, ushering in a new era of movement design.
SourceSingapore University of Technology and Design·JournalAdvanced Intelligent Systems·DateOct 3, 2023
Researchers discovered that users' prior beliefs about an AI chatbot's motives significantly impact their interactions with the agent. Priming users to believe certain things about the AI's empathy, neutrality, or manipulation influences their perception of its trustworthiness and effectiveness.
SourceMassachusetts Institute of Technology·JournalNature Machine Intelligence·DateOct 2, 2023
A new AI method leverages causal relationships in genome regulation to efficiently identify optimal genetic perturbations for cellular reprogramming. The technique reduces experimental costs by prioritizing the most informative interventions, leading to faster convergence and more effective results.
SourceMassachusetts Institute of Technology·JournalNature Machine Intelligence·DateOct 2, 2023
Researchers from FAU's College of Engineering and Computer Science employ a computer-vision deep learning technique to analyze wall-bounded turbulent flows. They successfully identify the sources of extreme events in a data-driven manner, providing new insights into non-linear relationships in fluid dynamics simulations.
SourceFlorida Atlantic University·JournalPhysical Review Fluids·TypeComputational simulation/modeling·DateOct 2, 2023
A new study found that ChatGPT-4 can generate highly accurate personal narratives based on stream-of-consciousness thoughts and demographic details. The AI model was used in conjunction with therapists to guide patients toward healthier thoughts and behaviors, suggesting a potential tool for improving therapeutic approaches.
SourceUniversity of Pennsylvania·JournalThe Journal of Positive Psychology·TypeExperimental study·DateSep 29, 2023
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.
Ghent University's research team explores active machine learning to revolutionize chemical engineering. The technology offers greater flexibility and performance compared to traditional design of experiment algorithms.
Researchers are working on EdgeRIC: Real-time radio access network intelligent control, aiming to enhance wireless communication and machine learning. The project involves developing intelligent systems that can adapt to changing conditions, prioritizing users and acquiring lower latency for applications.
Researchers have identified a major weakness in reservoir computing, a powerful machine learning tool used to model complex dynamic systems. The tool requires a lengthy warm-up time and relies on key information about the system being predicted being built in, making it challenging to accurately predict chaotic behaviors.
SourceSanta Fe Institute·JournalPhysical Review Research·DateSep 28, 2023
A new modeling method powered by interconnected processors removed human bias from the debate over dinosaurs' demise. The study suggests that the outpouring of climate-altering gases from the Deccan Traps alone could have been sufficient to trigger global extinction, consistent with volcanic eruptions contributing to the mass extinction.
SourceDartmouth College·JournalScience·TypeComputational simulation/modeling·DateSep 28, 2023
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.
Insilico Medicine has identified 9 potential dual-purpose targets against aging and 14 major age-related diseases using Microsoft BioGPT. The proposed genes include CCR5 and PTH, which have not been previously correlated to the aging process.
The University of Trento coordinates a European research network, Elias, aiming to establish Europe as a leader in AI research. The project focuses on developing new computational systems and models for sustainable innovation, social cohesion, and reliable AI.