A new AI-powered translation program developed by the National Weather Service (NWS) translates weather forecasts into multiple languages, including Spanish, Chinese, Vietnamese, Samoan, and French. The program aims to provide life-saving information to over 68 million US residents who do not speak English at home.
SourceUniversity of Illinois at Urbana-Champaign, News Bureau·JournalArtificial Intelligence for the Earth Systems·TypeComputational simulation/modeling·DateJun 2, 2026
Researchers at IRB Barcelona used AI to design new chemical entities that selectively target specific cell types, demonstrating superior activity compared to conventional screening strategies. The methodology, called phenotypic discovery, uses observable responses in cells rather than a specific molecular target.
SourceInstitute for Research in Biomedicine (IRB Barcelona)·JournalCommunications Chemistry·DateJun 2, 2026
Researchers propose embedding AI foundation models into control software to enable robot swarms to achieve new levels of autonomy and adaptability. This enables robots to switch between tasks in real-time and interact more naturally with humans.
SourceUniversité libre de Bruxelles·JournalScience Robotics·DateJun 2, 2026
Researchers used an open-source AI model called Mirai to quickly identify high-risk patients and expedite their diagnostic process. This led to a significant reduction in wait times, with some women receiving biopsy results within days of having their mammograms done.
SourceUniversity of California - San Francisco·DateJun 2, 2026
Apple iPhone 17 Pro
Apple iPhone 17 Pro delivers top performance and advanced cameras for field documentation, data collection, and secure research communications.
UCLA researchers are developing an AI-enhanced imaging platform to improve yttrium-90 radioembolization planning for patients with liver cancer. The new approach uses dynamic contrast-enhanced MRI scans to better characterize tumor blood flow and predict microsphere distribution.
SourceUniversity of California - Los Angeles Health Sciences·DateJun 2, 2026
The center will develop new phage-based treatments for antibiotic-resistant bacterial infections, predicting which phage to use for which patient and designing more effective phages. The goal is to generate unprecedented data and train AI models to identify the right phage for any patient's infection.
The collaboration aims to expand access to Mayo Clinic's knowledge and integrated model of care, using advanced AI capabilities to support earlier diagnoses, personalized treatment decisions, and better patient outcomes. The frontier AI model will be owned by Mayo Clinic and made available through Microsoft Azure Foundry APIs.
A team of researchers developed a method for creating realistic virtual tomato farms that automatically generate data for training agricultural AI systems. The approach uses advanced reconstruction methods and Unreal Engine 5 software to reproduce lighting, textures, and geometry, resulting in highly accurate object detection models.
SourceOsaka Metropolitan University·JournalSmart Agricultural Technology·TypeExperimental study·DateJun 1, 2026
The journal is seeking articles that explore the transformative power of digital tools to improve safety and health outcomes in occupational settings. Submissions focus on applying mHealth, wearable sensors, and real-time analytics to monitor physical hazards and reduce ergonomic strain.
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 nationally representative survey of US adolescents and young adults found that a fifth used AI chatbots for mental health advice. Proactive discussion with parents and clinicians about chatbot use is necessary to promote safety and linkages to evidence-based care.
SourceJAMA Network·JournalJAMA Pediatrics·DateJun 1, 2026
Researchers highlight latest developments in pathology, diagnosis, and treatment of MASLD and IPFD, revealing correlations with chronic diseases like liver cancer and pancreatic cancer. Innovative treatments, such as AI-driven approaches and organ-targeted therapies, show promise for precision prevention and therapy.
SourceChinese Medical Journals Publishing House Co., Ltd.·JournalPortal Hypertension & Cirrhosis·TypeSystematic review·DateJun 1, 2026
A research team proposes the Metacognitive Laziness Scale (MLS) to measure students' tendency to delegate metacognitive tasks to AI systems. The study found significant positive associations between metacognitive laziness and disaffection with learning, suggesting that excessive reliance on AI may undermine academic achievement.
SourceECNU Review of Education·JournalECNU Review of Education·TypeSurvey·DateJun 1, 2026
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.
A recent study by CISPA Helmholtz Center for Information Security examines how users perceive AI labels and their impact on information credibility. The study found that while AI labels can reduce belief in false content, they also trigger skepticism and shape trust more than the content itself.
SourceCISPA Helmholtz Center for Information Security·TypeSurvey·DateJun 1, 2026
A remotely operated AI algorithm has identified the critical view of safety (CVS) in pediatric patients, detecting when all safety criteria were met and issuing real-time alerts. This approach combines AI with teleconferencing for potential new intraoperative guidance without requiring specialized hardware.
SourceZhejiang University·JournalWorld Journal of Pediatric Surgery·DateJun 1, 2026
The LEGO Foundation Fellowship will support up to 10 researchers pursuing ambitious work on how children thrive in crisis and conflict settings, neurodivergent children, and AI-enabled learning. The fellowship aims to deepen understanding of what helps children learn, grow, and thrive.
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 POSTECH develop technology that lowers contact resistance by 50-fold and boosts on-state current by 17 times in ultra-thin tellurium transistors. This breakthrough enables stable operation of devices even at extreme temperatures, paving the way for next-generation 3D integrated circuits.
SourcePohang University of Science & Technology (POSTECH)·JournalACS Nano·DateJun 1, 2026
A new study by Penn Medicine reveals significant gaps in online information about artificial intelligence (AI) and its impact on cancer research and treatment. The study found that only 33% of relevant webpages and 23% of videos were considered high-quality, with many omitting risks of AI use.
SourceUniversity of Pennsylvania School of Medicine·DateMay 31, 2026
A new open-source framework called MEDS has been developed by a Columbia-led team to streamline and accelerate artificial intelligence research using health data. The framework standardizes data format and provides interoperable tools to support machine learning model development, reducing technical barriers and promoting reproducibility.
SourceColumbia University Irving Medical Center·JournalNEJM AI·TypeComputational simulation/modeling·DateMay 29, 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.
Frontiers won two EPIC Awards for its landmark whitepaper on responsible AI use in research and publishing, and a digital campaign highlighting research integrity. The awards recognize the institution's commitment to making science open and trusted.
Researchers developed an all-optical artificial synapse that uses light to mimic neural learning and perform in-sensor image processing. The device shows paired-pulse facilitation and depression, allowing it to both enhance and suppress signals, a requirement for realistic neural behavior.
SourceSPIE--International Society for Optics and Photonics·JournalAdvanced Photonics·DateMay 29, 2026
The symposium aims to consolidate and expand partnerships in strategic areas such as energy transition, artificial intelligence, and health. The event will facilitate cooperation among researchers from São Paulo and the UK, with a focus on joint funding opportunities.
SourceFundação de Amparo à Pesquisa do Estado de São Paulo·DateMay 29, 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 at Texas A&M University are designing how humans will build and survive on the moon, focusing on sustainable construction using lunar regolith. The institution's efforts aim to reduce costs associated with shipping materials to the moon, making it possible to produce rocket propellant locally.
Researchers at PolyU have pioneered a method to store digital data using engineered proteins, achieving high storage efficiency and capacity. They overcame challenges of variable amino acid sequences and degraded proteins by designing a protein template, successfully expressing and retrieving data.
SourceThe Hong Kong Polytechnic University·JournalNature Communications·DateMay 28, 2026
A new Drexel University study finds that most users see AI chatbots as supplements to human therapy, not substitutes. Users express concerns about emotional dependence, misinformation, and overreliance on the technology.
Fluke 87V Industrial Digital Multimeter
Fluke 87V Industrial Digital Multimeter is a trusted meter for precise measurements during instrument integration, repairs, and field diagnostics.
A deep learning model combines knowledge from different catalyst families to identify a top-performing green hydrogen catalyst. The AI correctly predicted the activity ranking of 12 tested catalysts within a previously unexplored material family.
SourceInstitute for Basic Science·JournalNature Materials·TypeExperimental study·DateMay 28, 2026
Researchers at the University of Jyväskylä have developed an AI model that can analyze colorectal cancer samples more efficiently and accurately predict the functioning of the cells' DNA repair mechanism. This could lead to shorter diagnosis times, reduced costs, and improved analysis accuracy.
SourceUniversity of Jyväskylä - Jyväskylän yliopisto·JournalComputer Methods and Programs in Biomedicine·DateMay 28, 2026
A recent study found that AI-powered chatbots can provide accurate information in 76.2% of healthcare-related questions, with specialties like obstetrics and gynecology performing best. However, internal medicine, neurology, and dermatology saw lower accuracy rates, with risks of harm associated with incorrect responses.
A new study shows AI can generate hundreds of convincing finance research papers efficiently, but also raises concerns about the potential impact on academic community and meaning of scientific discovery. The study demonstrates how AI can accelerate research paper production while highlighting areas for improvement in peer-review systems.
SourcePenn State·JournalJournal of Economic Literature·TypeComputational simulation/modeling·DateMay 28, 2026
A new study published in PLOS Digital Health identifies simple food substitutions that can improve meal nutritional quality and lower costs. By analyzing 135,491 meal records, researchers trained an AI model to suggest one to three ingredient swaps, resulting in a 10% improvement in nutritional quality and a 22-34% reduction in costs.
SourcePLOS·JournalPLOS Digital Health·TypeExperimental study·DateMay 28, 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 framework, SUVA, enables organizations to measure and adjust AI chatbots' social preferences, improving their performance in customer complaints and other human-AI interactions. By understanding an LLM's existing tendencies, organizations can decide whether an available model already fits its values and usage scenarios.
SourceUniversity of Texas at Austin·JournalInformation Systems Research·DateMay 28, 2026
A new transfer learning framework connects two gait analysis tasks, predicting continuous gait cycle percentage and classifying discrete gait phases. The method achieved high F1-scores and efficiency, outperforming traditional approaches.
SourceELSP·JournalArtificial Intelligence and Autonomous Systems·TypeExperimental study·DateMay 28, 2026
A robot that catches itself when it falls has been developed using reinforcement learning and artificial intelligence. The system achieved an average success rate of 69.4 percent in arresting the robot's fall and returning it to a stable position.
SourceSingapore University of Technology and Design·JournalResults in Engineering·DateMay 28, 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 new viewpoint article highlights the risk of AI 'collusion' with unreliable human input in mental health settings. The author argues that clinical expertise should be included when designing training data and evaluating AI systems to strengthen safeguards.
SourceJMIR Publications·JournalJMIR Mental Health·TypeCommentary/editorial·DateMay 27, 2026
A new study published in JAMA Network Open found that approximately 16% of patients with COVID-19 developed long COVID, translating to over 18 million Americans. The study used a novel AI algorithm to identify cases undetected by existing diagnostic systems.
SourceMass General Brigham·JournalJAMA Network Open·TypeData/statistical analysis·DateMay 27, 2026
Researchers summarize how AI is accelerating inorganic biomaterial development for various biomedical applications. AI-powered property prediction and inverse design tools are being used to discover effective materials with unique properties.
SourceScience China Press·JournalScience Bulletin·TypeSystematic review·DateMay 27, 2026
The Salk Institute has promoted Julie Law to full professor and appointed Talmo Pereira as assistant professor, highlighting their innovative approaches to gene regulation and computational neuroscience. Their research focuses on epigenetics and artificial intelligence techniques, respectively.
Researchers propose a new conceptual framework called Health Elements, which integrates technological factors alongside traditional domains as core drivers of health. The framework highlights the increasingly important role of digital infrastructures in shaping health behaviors and outcomes.
SourceHealth Data Science·JournalHealth Data Science·DateMay 27, 2026
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 new approach combines MRI scans and AI tools to measure fluid flow in the brain, shedding light on the glymphatic system’s mechanics. The study reveals two main ways the system washes away particles, with one way moving faster than the other.
SourceUniversity of Rochester·JournalScience Advances·DateMay 27, 2026
A team at Polytechnique Montréal has developed a new material that enables direct light processing on silicon chips, reducing the need for signal conversion and amplification. This breakthrough could help sustain the next wave of AI at scale by giving light a larger role in data processing.
SourcePolytechnique Montréal·JournalScience Advances·TypeExperimental study·DateMay 27, 2026
Researchers at Duke University introduce Argus, a 20-eyed robot with no front or back, demonstrating dynamic symmetry and improving performance across various measures. The design surpasses the theoretical maximum of 0.6, enabling robustness, energy efficiency, and resilience to damage.
SourceDuke University·JournalScience Robotics·TypeExperimental study·DateMay 27, 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.
A team from UChicago PME used AI to generate entire chemical formulations for battery electrolytes, balancing complicated tradeoffs and interactions. The research was published in JACS Au and explores a vast chemical space, generating novel candidates satisfying desired properties simultaneously.
The Association for Computing Machinery announced three technical awards for innovations in global wireless standards, machine learning, and 3D generative AI. Erdal Arikan received the Paris Kanellakis Theory and Practice Award for his discovery of channel polarization and polar codes.
A study from Syracuse University and Ipsos found that AI-generated ads are almost indistinguishable from human-made work, but underperform in actual outcomes. The research suggests that humans and AI should work together for a competitive edge.
Researchers developed an Insect Synergy Circuit that integrates body movement and internal physiological information to guide insect navigation. The system achieved high accuracy in classifying environmental conditions, enabling gentle control over the insect's movements.
SourceThe University of Osaka·JournalROBOMECH Journal·TypeComputational simulation/modeling·DateMay 27, 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.
A new AI model, MutationProjector, analyzes tumor DNA to predict immunotherapy and chemotherapy outcomes in various cancers. The model identifies biomarkers associated with treatment responses and provides insights into why predictions are made.
SourceUniversity of California - San Diego·JournalCancer Discovery·DateMay 26, 2026
A mobile app is being developed to identify disease-carrying insects from their wing patterns using machine learning, aiming to reduce the risk of disease transmission in low-income communities. The technology will enable rapid and accurate identification of vectors, tracing disease clusters and responding effectively to outbreaks.
A new study from the University of Miami Miller School of Medicine suggests that machine learning models using patient-reported outcomes and clinical data can forecast unplanned health care use and elevated symptom burden in cancer survivors. The research offers a potential pathway toward more proactive, personalized survivorship care.
SourceUniversity of Miami Miller School of Medicine·JournalJCO Clinical Cancer Informatics·DateMay 26, 2026
Artificial intelligence can bridge the gap between rich multi-scale data generated by modern exercise biomedicine and urgent clinical need for tailored exercise prescriptions. Four key AI modeling paradigms, including time series learning, multimodal fusion, causal inference, and reinforcement learning, are examined.
SourceShanghai Jiao Tong University Journal Center·JournalTranslational Exercise Biomedicine·TypeNews article·DateMay 26, 2026
A new DGMoE framework enhances EEG-based emotion recognition by modeling individual differences, achieving high accuracy rates on public datasets. The framework's two-stage selection mechanism and graph-convolution-based expert modules improve robustness and generalization to unseen subjects.
SourceKeAi Communications Co., Ltd.·JournalIntelligent Sports and Health·TypeComputational simulation/modeling·DateMay 25, 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.
A new framework combines a custom-built training dataset with transfer learning to improve the detection accuracy of small and distant objects in omnidirectional videos. The proposed model achieved an overall accuracy of 90%, significantly higher than conventional models for small moving objects.
SourceShibaura Institute of Technology·JournalIEEE Open Journal of Intelligent Transportation Systems·TypeComputational simulation/modeling·DateMay 22, 2026
Researchers from Tohoku University's Advanced Institute for Materials Research use AI and data science to extract valuable insights from decades-old experiments and scientific literature. This approach accelerates materials design and screening in catalysis, solid-state electrolytes, and hydrogen storage research.
SourceAdvanced Institute for Materials Research (AIMR), Tohoku University·JournalChemical Communications·DateMay 22, 2026
Researchers developed a neural network approach that learns to clean co-movement patterns in markets before building portfolios. The method achieved lower volatility and higher Sharpe ratios compared to traditional methods.
SourceKeAi Communications Co., Ltd.·JournalThe Journal of Finance and Data Science·DateMay 22, 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.
Zhe Zhu's doctoral dissertation reveals that trusting AI can increase work engagement and build more sustainable careers. GenAI tools can reshape organisational decision-making and employee experiences of work.
A new Frontiers in Science article explores how AI can accelerate scientific discovery in soil science by creating digital soil twins and trialing climate adaptation strategies. Researchers will discuss the potential of multi-agent AI systems to enable autonomous hypothesis generation, experimental design and data analysis during a fre...
A Virginia Tech study found that AI image generators consistently produce more realistic and recognizable images of larger metropolitan areas than smaller towns. The research raises questions about how generative artificial intelligence tools portray places and whose communities are most visible online.
SourceVirginia Tech·JournalTechnology in Society·DateMay 22, 2026
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.
Scientists have demonstrated that megalibraries can design materials with specific properties, accelerating the traditional trial-and-error approach to rapidly designing and testing materials. The platform generates vast datasets needed to train AI systems to discover next-generation materials.
SourceNorthwestern University·JournalScience Advances·DateMay 22, 2026
Researchers developed an AI system called CMR-CLIP that can interpret complex heart scans without manual labels, outperforming existing models by up to 35%. The system learned from over a million images and hundreds of thousands of motion sequences collected from Cleveland Clinic.
SourceCleveland Clinic·JournalNature Communications·DateMay 21, 2026
New AI tools can accelerate soil science by speeding up early-stage work, improving predictions to support decisions on land-use, carbon, and climate adaptation. The system successfully mimicked key parts of the scientific process, with outputs beyond what's currently being used that strongly align with expert research.
SourceUniversity of Sydney·JournalFrontiers in Science·TypeMeta-analysis·DateMay 21, 2026
A new study highlights the potential of AI tools in soil science, enabling researchers to better understand soil ecosystems and adapt to climate change. The system successfully generated hypotheses on how soils store carbon and what controls their storage limits, with outputs aligning with expert research.
SourceFrontiers·JournalFrontiers in Science·TypeComputational simulation/modeling·DateMay 21, 2026
Researchers at UW Medicine Institute for Protein Design and Skape Bio used AI methods to create on-demand molecules that can toggle GPCRs. The approach enables precise control of GPCR signaling in cells, offering new insights into bodily functions and potential medicines for diseases.
SourceUniversity of Washington School of Medicine/UW Medicine·JournalNature·TypeExperimental study·DateMay 21, 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.