A technology has been developed that allows artificial intelligence to inversely determine process conditions for quantum-dot light-emitting diode devices. The technology roughly doubled efficiency and extended operational lifetime more than 40-fold when applied to actual devices.
SourceSeoul National University College of Engineering·JournalReports on Progress in Physics·TypeExperimental study·DateJul 17, 2026
This volume of SLAS Technology highlights novel laboratory technologies, open-source software, and disease-specific tools for advancing life sciences research and development. The journal emphasizes the importance of education, knowledge exchange, and global community building to drive innovation in biomedical research.
SourceSLAS (Society for Laboratory Automation and Screening)·JournalSLAS TECHNOLOGY·DateJul 16, 2026
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 unveil high-performance, earth-abundant Fe-N-C catalysts using AI and quantum chemistry. The 'dual modulation' strategy accelerates oxygen reduction reaction in fuel cells, enabling cheaper and more efficient hydrogen fuel cells.
SourceShanghai Jiao Tong University Journal Center·JournalENGINEERING Energy·TypeNews article·DateJul 15, 2026
Researchers developed a hybrid technology combining human learning and machine learning in noninvasive BCIs, producing rapid and sustained gains in motor imagery control. The study demonstrates significant scientific and technological advancement in BCIs, establishing a scalable pathway toward robust neural interfaces.
SourceCollege of Engineering, Carnegie Mellon University·JournalNature Communications·DateJul 15, 2026
UCSF Health Converge accelerates development of AI tools for real-world care delivery by co-developing solutions with select companies. The program focuses on building patient-centered, clinically effective AI solutions that align with UCSF Health's standards.
SourceUniversity of California - San Francisco·DateJul 15, 2026
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 created a tool that leverages large language models to build novel languages with unique grammatical structures and vocabularies. The ConlangCrafter tool generates diverse languages, which can be used for creative applications such as video games and movies, or aid researchers in studying poorly documented languages.
SourceUniversity of Miami·TypeExperimental study·DateJul 15, 2026
A new study uses machine learning to predict chemical toxicity in rare and endangered species, reducing the need for direct biological testing. The model achieved strong performance predicting acute and chronic toxicity, with life stage being a key factor.
SourceShenyang Agricultural University Collaborative Journals·JournalNew Contaminants·TypeExperimental study·DateJul 15, 2026
Researchers developed DeepHHF, an AI model that identifies patients at high risk of heart failure up to five years in advance. The model analyzes standard ECG recordings and detects subtle abnormalities that are often imperceptible to the human eye.
SourceTechnion-Israel Institute of Technology·Journalnpj Digital Medicine·TypeComputational simulation/modeling·DateJul 15, 2026
Researchers developed a high-resolution monitoring approach combining drone-based multispectral imaging with ensemble machine learning models. The method revealed how surrounding industrial, agricultural, residential, and green areas influence water quality in urban rivers.
SourceShenyang Agricultural University Collaborative Journals·TypeExperimental study·DateJul 14, 2026
Apple iPhone 17 Pro
Apple iPhone 17 Pro delivers top performance and advanced cameras for field documentation, data collection, and secure research communications.
A team of researchers from the University of Cambridge and UC Santa Barbara developed 'adversarial' mathematical systems to map out where AI prediction breaks down. They identified two main reasons why machine learning fails: algorithmic limitations and hidden patterns in complex systems.
SourceUniversity of Cambridge·JournalNature Communications·DateJul 14, 2026
Researchers created new metal alloys using AI-driven materials design, retaining strength under extreme conditions. The alloys, made of nickel, cobalt, and chromium, outperformed industry standards in properties such as puncture resistance and oxidation resistance.
SourceUniversity of Toronto Faculty of Applied Science & Engineering·Journalnpj Advanced Manufacturing·DateJul 14, 2026
A novel AI model called BINND has been developed to predict which DNA molecules bind to each other. The model achieved an accuracy of 83.5% in predicting DNA pairs that would bind, surpassing the state-of-the-art model by at least 10%. This improvement has significant utility for biomedical diagnostic tools and DNA computing applications.
SourceNorth Carolina State University·JournalNature Communications·TypeExperimental study·DateJul 14, 2026
Peter J. Denning suggests that Turing's stance on artificial general intelligence and the imitation game has led to the AI mess, with a fundamental flaw in understanding tacit knowledge and its representation problem. He argues that machines cannot grasp human emotions, intuitions, or cultural context, making it impossible to achieve h...
Researchers developed an auditing technique to test generative AI models for malicious capabilities, without prompting them for illegal outputs. The new approach identifies model variations that can generate CSAM with 100% accuracy.
SourceMassachusetts Institute of Technology·DateJul 13, 2026
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 research team led by Iowa State University professors is using machine learning and synthetic techniques to discover new magnetic materials with unprecedented properties. The project aims to create ultra-powerful magnets that can improve energy productivity, reduce electricity costs, and enhance American industrial competitiveness.
Deep learning models accelerate drug design, predict chemical interactions, and engineer stable candidates. AI-powered simulations optimize dosimetry, predicting biodistribution and generating patient-specific digital twins for individualized treatment planning.
SourceJMIR Publications·JournalJournal of Medical Internet Research·TypeCommentary/editorial·DateJul 10, 2026
A Dartmouth study reveals that people's gaze patterns in new environments contain unique personality preferences. The researchers used eye-tracking data to model individual gaze patterns and create machine-learning models that could distinguish between participants based on their conceptual themes.
SourceDartmouth College·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateJul 9, 2026
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 uncovered previously undetected slow slip events in Parkfield, California, and found that these silent fault movements systematically follow increased low-frequency earthquake activity. The discovery suggests that slow slip may play an important role in how stress evolves along active faults.
SourceGFZ Helmholtz-Zentrum für Geoforschung·JournalNature Communications·TypeData/statistical analysis·DateJul 9, 2026
Researchers at the University of Pennsylvania and Chinese University of Hong Kong created TD3B, an AI framework guiding peptide generation toward candidates predicted to have a desired effect. The tool predicts binding likelihood and determines activation or deactivation of associated cellular machinery.
SourceUniversity of Pennsylvania School of Engineering and Applied Science·TypeComputational simulation/modeling·DateJul 9, 2026
Researchers found that variable-rate seeding (VRS) can help farmers strike a better balance in corn and soybean fields. However, soybeans proved to be more complicated due to their adaptability to weather conditions. The study aims to make farming more accessible and efficient for small land holders using digital tools and data-driven ...
SourceUniversity of Missouri-Columbia·JournalAgronomy Journal·DateJul 8, 2026
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 have developed a federated learning algorithm that solves the long-standing conflict between robustness and efficiency in AI development. The new approach anonymizes data and reduces single-point failure risks while maintaining speed. By remembering past client interactions, servers can protect against malicious input.
SourceOkinawa Institute of Science and Technology (OIST) Graduate University·TypeData/statistical analysis·DateJul 8, 2026
A new study explores an FMQA-based optimization framework for RNA design, revealing that encoding matters in achieving optimal results. The approach identifies high-quality RNA sequence candidates with relatively few evaluations, outperforming competing methods.
SourceKeio University Global Research Institute·JournalScientific Reports·TypeComputational simulation/modeling·DateJul 8, 2026
Researchers from Penn, NYU, and the Linguistic Data Consortium create virtual patients with adjustable psychiatric symptoms to simulate real-world conversations. The STELLAR platform aims to augment clinician training practices with essential conversation scenarios.
SourceUniversity of Pennsylvania School of Engineering and Applied Science·DateJul 8, 2026
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 develop annealable ferromagnetic icosahedral quasicrystals with unprecedented structural quality, revealing intrinsic magnetic properties and magnetic criticality. The discovery enables the first systematic investigations of quasiperiodic magnetism and magnetic criticality in QCs.
SourceTokyo University of Science·JournalJournal of the American Chemical Society·TypeExperimental study·DateJul 7, 2026
Researchers create tiny swimmers to deliver drugs through the human body, finding they reverse direction in non-Newtonian fluids like mucus and blood. This discovery enhances understanding of fluid behavior and could lead to targeted drug delivery.
SourceLehigh University·JournalApplied Physics Letters·DateJul 6, 2026
A large-scale study of an online patient portal shows that AI-generated responses can introduce errors and extraneous details, leading to increased editing time for physicians. Adapting AI to individual physician communication styles can improve accuracy by 33% and reduce editing by 26%.
SourceDartmouth College·TypeData/statistical analysis·DateJul 6, 2026
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.
The collaboration aims to develop AI-powered ground systems that can assist operators with routine satellite operations, mission scheduling, and data analysis. The partnership seeks to automate routine tasks with human oversight, enabling more efficient management of larger satellite fleets.
A new study links tire pollution to Alzheimer's disease through the exposure to 6PPD-quinone, a chemical formed from shaved-off tire particles. The researchers used computational methods to identify key genes that predict Alzheimer's disease and found strong binding of 6PPD-quinone to these genes.
SourceDe Gruyter Brill·JournalOpen Medicine·TypeComputational simulation/modeling·DateJul 6, 2026
BetaDescribe, an AI system, converts protein sequences into detailed textual descriptions of their functions and characteristics. The technology helps bridge the gap between characterized and existing proteins in nature, enabling researchers to rapidly generate evidence-based hypotheses regarding unknown proteins.
SourceTechnion-Israel Institute of Technology·JournalProceedings of the National Academy of Sciences·TypeComputational simulation/modeling·DateJul 6, 2026
A new learning-based adaptive tuning method integrates chaotic search with particle swarm optimization to improve stability and solution quality in chaotic search algorithms. The approach consistently achieves better results than conventional methods, providing a practical means of enhancing the performance of chaotic search.
SourceTokyo University of Science·TypeComputational simulation/modeling·DateJul 6, 2026
Researchers developed an on-chip all-optical supernode for ultra-low-latency deep neural network inference, achieving a 100-fold increase in inference speed while using only one-ninth of computing resources. The system supports high-speed data routing and switching with low loss and flat response over a spectral range exceeding 100 nm.
SourceScience China Press·JournalNational Science Review·TypeExperimental study·DateJul 5, 2026
Rigol DP832 Triple-Output Bench Power Supply
Rigol DP832 Triple-Output Bench Power Supply powers sensors, microcontrollers, and test circuits with programmable rails and stable outputs.
A study published in PLOS One found that AI-generated impersonations of political debaters were rated as more authentic and relevant by the public than their actual responses. This raises concerns about the potential for targeted misinformation campaigns against specific public figures.
SourcePLOS·JournalPLOS One·TypeExperimental study·DateJul 1, 2026
Researchers create custom-fit prosthetic hands with soft magnetic sensors that capture subtle changes in muscle shape and pressure. The system performs consistently and reliably, translating intent into control of a dexterous robotic hand with up to 90% accuracy.
SourceFlorida Atlantic University·JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering·TypeExperimental study·DateJul 1, 2026
MARVEL has transformed materials research by combining simulations, machine learning, and experiments to predict and design novel materials. Its open-source codes and computational infrastructures have strengthened the field, enabling reproducible and collaborative discoveries.
SourceNational Centre of Competence in Research (NCCR) MARVEL·DateJul 1, 2026
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 new AI model, SpliceSelectNet, accurately predicts RNA splicing by capturing long-range DNA signals. The model's hierarchical Transformer architecture preserves high computational efficiency while maintaining single-nucleotide resolution, enabling accurate analysis of genomic regions.
SourceThe Institute of Medical Science, The University of Tokyo·JournalNucleic Acids Research·TypeComputational simulation/modeling·DateJun 30, 2026
Researchers use unsupervised learning and neural networks to group anomalous Hall curves into distinct families, creating a roadmap for understanding complex magnetic behaviors. The framework predicts desirable properties and guides the search for rare quantum states.
SourceScience China Press·JournalNational Science Review·TypeComputational simulation/modeling·DateJun 29, 2026
The review discusses key AI concepts, including algorithms, models, architectures, machine learning, deep learning, and multimodal models. It highlights their clinical applications, such as detection of lymph node metastases, Nottingham grading, biomarker quantification, risk stratification, and prognostic prediction.
SourceXia & He Publishing Inc.·JournalJournal of Clinical and Translational Pathology·DateJun 26, 2026
Researchers developed a new system called Murakkab to optimize agentic workflows for AI applications. It enables developers to describe their intent in high-level terms, automating the selection of models and tools to use, and optimizing hardware configurations in real-time.
SourceMassachusetts Institute of Technology·DateJun 25, 2026
Celestron NexStar 8SE Computerized Telescope
Celestron NexStar 8SE Computerized Telescope combines portable Schmidt-Cassegrain optics with GoTo pointing for outreach nights and field campaigns.
Researchers developed a compact, cost-effective diagnostic platform combining lensfree holography and deep learning for automated HER2 scoring. The system reached 84.9% accuracy for four-level HER2 classification and 94.8% accuracy for binary scoring, effectively lowering diagnostic risks.
SourceBMEF (BME Frontiers)·JournalBME Frontiers·TypeMeta-analysis·DateJun 25, 2026
Researchers Anna Galler and Bettina Könighofer at Graz University of Technology will use FWF's Astra awards to identify quantum materials for future electronics and develop trustworthy AI systems. Their projects focus on protecting AI systems from risky actions and exploring new materials with unique electronic properties.
Researchers at Tohoku University have created a clearer map for searching for hydrogen storage materials, identifying key physical factors that control their performance. The study suggests adjusting geometry and lattice flexibility to raise capacity while tuning stiffness to keep equilibrium pressure near everyday conditions.
SourceAdvanced Institute for Materials Research (AIMR), Tohoku University·JournalChemical Science·DateJun 24, 2026
A new study from Kaiser Permanente found that combining AI mammographic risk scores with polygenic and clinical risk scores more accurately identifies women at high risk of developing breast cancer than clinical risk scores used alone. The combined model was found to improve prediction accuracy, particularly among women at highest risk.
SourceKaiser Permanente·JournalJNCI Journal of the National Cancer Institute·DateJun 23, 2026
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.
The UN has launched an initiative calling on AI companies to publicly disclose their environmental impacts, including carbon, water and land footprint. The move comes after a report highlighted the massive electricity demand and environmental impacts of AI systems.
A University of Houston engineering professor developed a mathematical model to help decision-makers decide where to spend limited dollars on infrastructure resilience. The model accounts for real-world uncertainty and identifies critical assets to invest in, providing the greatest benefit before disaster strikes.
SourceUniversity of Houston·JournalComputers & Industrial Engineering·DateJun 23, 2026
MIT researchers developed a new system-on-a-chip called Gleanmer, which generates highly accurate 3D maps of the robot's environment using Gaussians to represent obstacles. This approach reduces memory and power consumption by up to 99%, making it suitable for lightweight augmented reality headsets.
SourceMassachusetts Institute of Technology·DateJun 23, 2026
Researchers developed RNovA algorithm to identify new PTMs in human cells, expanding capabilities of machine learning in basic biological research. The discovery aims to advance diagnostics and broaden biologists' horizons for cancer and other diseases.
SourceUniversity of Waterloo·JournalNature Biotechnology·TypeComputational simulation/modeling·DateJun 23, 2026
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 new research direction proposes building machine-learning systems on top of AI models to detect hidden information and predict behavior. This enables users to supervise the model, control its behavior without understanding the entire mechanism.
SourceTechnion-Israel Institute of Technology·DateJun 21, 2026
A groundbreaking technology called Time to Move (TTM) offers unprecedented control over object and character movement in AI-generated videos. TTM eliminates the need for complex infrastructure or training on millions of videos, making AI video creation more accessible.
SourceTechnion-Israel Institute of Technology·TypeComputational simulation/modeling·DateJun 21, 2026
A team of MIT researchers has developed a machine-learning approach that captures the diversity of atomic environments in chemically disordered materials. This allows for more accurate predictions of material properties and opens up possibilities for creating new sustainable steels and materials for aerospace, energy, and computing.
SourceMassachusetts Institute of Technology·JournalScience Advances·DateJun 19, 2026
Researchers developed an AI system called SmartTrap that uses optical tweezers to capture particles, take measurements, and load new samples autonomously. This technology accelerates the analysis of life's smallest components, potentially transforming laboratories in the near future.
SourceUniversity of Gothenburg·JournalNature Methods·TypeComputational simulation/modeling·DateJun 18, 2026
A new study uses AI to identify promising chemical compounds that could develop into effective antibiotics against multi-drug resistant Neisseria gonorrhoeae. The approach has the potential to address the growing crisis of antimicrobial resistance in this fast-evolving pathogen.
SourceWyss Institute for Biologically Inspired Engineering at Harvard·JournalScience Translational Medicine·TypeComputational simulation/modeling·DateJun 17, 2026
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.
A new spatial memory system allows robots to rapidly form and recall detailed mental models of large-scale environments, enabling fast and accurate object recognition. This framework combines advanced map representations with rich descriptions of the environment, enabling robots to answer complex queries in plain language.
SourceMassachusetts Institute of Technology·DateJun 17, 2026
Researchers developed BRIDGE, a multilingual benchmark that assesses large language models' understanding of clinical patient-care text. The benchmark reveals significant gaps in LLM performance on real-world clinical tasks, particularly in nuanced clinical language.
SourceMass General Brigham·JournalNature Biomedical Engineering·TypeComputational simulation/modeling·DateJun 17, 2026
A Concordia-led team developed an AI-based method for detecting toxic online content, which outperformed existing tools in accuracy and throughput. The Proximal Policy Optimization-based Cascaded Inference System (PPO-CIS) layers scanning tasks to quickly identify harmful material.
SourceConcordia University·JournalKnowledge-Based Systems·TypeComputational simulation/modeling·DateJun 16, 2026
Researchers propose a Digital Twin Optical Computing System that reduces dependence on physical hardware for task development. The DT-OCS framework enables offline simulation, training, and optimization of computational tasks, improving research efficiency and application flexibility.
SourceEditorial Office of Opto-Electronic Journals Group·JournalOpto-Electronic Advances·TypeComputational simulation/modeling·DateJun 16, 2026
Fluke 87V Industrial Digital Multimeter
Fluke 87V Industrial Digital Multimeter is a trusted meter for precise measurements during instrument integration, repairs, and field diagnostics.
Avishek Choudhury, a WVU researcher, has won the NSF CAREER award to study how healthcare providers' trust in artificial intelligence changes over time. His goal is to humanize algorithms behind AI and improve decision-making quality and patient safety.
A robotic pet rabbit named Mía has been developed to recognize users by their voice, allowing for personalized affective stimulation in elderly care. The system uses a unique 'voice signature' that adapts to each user's speech patterns, enabling the robot to respond differently to various individuals.
SourceUniversidad Carlos III de Madrid·JournalApplied Sciences·TypeComputational simulation/modeling·DateJun 15, 2026
Researchers at Nagoya University developed an AI tool, DiSPAH, to estimate ALS disease progression speed and identify muscle decline patterns. The study found six distinct patterns of disease progression among patients, with some experiencing rapid deterioration while others declined slowly.
SourceNagoya University·Journalnpj Digital Medicine·TypeComputational simulation/modeling·DateJun 14, 2026
Researchers create PhishLumos AI system to detect phishing campaigns by analyzing infrastructure clues, achieving 8-day faster detection than experts. The system uncovered over 190,000 new links, with 92% later flagged as malicious, outperforming content-centric approaches.
SourceTokyo Metropolitan University·JournalIEEE Access·DateJun 13, 2026
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.
The University of Oklahoma is establishing the Oklahoma Center of ImmunoEngineering with an $11.5 million NIH award. The center will integrate wet lab science and data science to accelerate disease research. Four early-career faculty members are selected as research project leaders, and the center offers training workshops, seminars an...