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New AI model detects hidden signs of solar eruptions hours before they emerge

A new AI model, EarlyDetect, can detect precursor signals of active region emergence in the Sun's acoustic activity and magnetic field, forecasting solar eruptions nearly nine hours in advance. This technology has the potential to allow satellite communications companies or power grid companies to prepare for solar storms.

SourceNew Jersey Institute of Technology·JournalJournal of Geophysical Research Machine Learning and Computation·TypeComputational simulation/modeling·DateAug 14, 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.

Can mini organs help predict breast tumors’ response to therapy

Researchers developed a method to predict how different types of breast cancer will respond to treatment using lab-grown mini tumors. The organoids mimicked a tumor's response to treatment and identified candidate combination therapies for cancers that don't respond to standard treatment.

SourceUniversity of California San Francisco Medical Center·TypeComputational simulation/modeling·DateAug 11, 2026

Governor Hochul announces Empire AI Beta fully online as federal government takes inspiration from New York to launch state and regional AI infrastructure hubs

New York's Empire AI Beta has officially launched, providing world-class AI computing power to researchers across the state. The initiative has served as a model for the federal National Science Foundation's State and Regional AI Infrastructure Hubs, which aim to build out regional AI research infrastructure and shared research capacity.

SourceSUNY The State University of New York·DateAug 7, 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.

How winter canola could profit Illinois farmers, improve sustainability

A simulation study from the University of Illinois suggests that winter canola can increase overall productivity by 18% while maintaining stable greenhouse gas intensity. The diversified system also improves net ecosystem carbon balance, with benefits increasing over time.

SourceCollege of ACES at the University of Illinois Urbana-Champaign·JournalAgricultural Systems·DateAug 7, 2026

New insights into the mechanisms of liquid–liquid phase separation involved in gene regulation

Research at AIST, Institute of Science Tokyo, and Ritsumeikan University uncovers the impact of histone acetylation site location on liquid–liquid phase separation in gene regulation. This study provides new perspectives for therapeutic development targeting aberrant gene expression.

SourceNational Institute of Advanced Industrial Science and Technology·JournalJournal of the American Chemical Society·TypeExperimental study·DateAug 5, 2026

HKU School of Computing and Data Science research team develops ClairS, achieving high-accuracy cancer mutation detection across multiple cancer types

A research team from HKU School of Computing and Data Science has developed ClairS, a novel deep-learning algorithm that improves the detection of cancer mutations. Tested on breast, lung, and melanoma cell-line datasets, ClairS demonstrates exceptional accuracy across various cancer types and sequencing conditions.

SourceThe University of Hong Kong·JournalNature Methods·TypeComputational simulation/modeling·DateAug 4, 2026

Warm Agulhas Current fuels Western Cape’s worst flood‑producing storms

Researchers found that the Agulhas Current supplies heat and moisture that strengthen weather systems, causing severe floods in the Western Cape. In contrast, the Benguela Upwelling System has a minor role in intensifying rainfall.

SourceUniversity of Cape Town - Faculty of Science·JournalAtmospheric Research·TypeComputational simulation/modeling·DateJul 29, 2026
Apple iPhone 17 Pro

Apple iPhone 17 Pro delivers top performance and advanced cameras for field documentation, data collection, and secure research communications.

AI-designed metamaterials pave the way for high-speed spin-wave computing

Researchers developed an inverse-design framework to optimize magnonic crystal design, identifying unconventional lattice structures with large band gaps. The approach enables the exploration of previously unexplored material systems and device dimensions, paving the way for high-speed spin-wave computing and energy-efficient devices

SourceTokyo University of Science·JournalSmall Structures·TypeComputational simulation/modeling·DateJul 28, 2026

AI and robotics accelerate search for better gut microbiome therapies

Researchers at Duke University have developed a method to systematically develop novel probiotic and prebiotic combinations to maintain gut health and treat gastrointestinal diseases. The approach uses machine learning and automation to explore complex interactions between microbes, nutritional sources, and the environment.

SourceDuke University·JournalNature Chemical Biology·TypeExperimental study·DateJul 27, 2026

Algorithm-designed photonic circuits beyond human intuition

A team of researchers at Harvard and Max Planck Institute have developed three new functional components for photonic microchips using an inverse design algorithm. The compact designs are about 500 times smaller than conventional designs and offer a path toward higher-performance integrated light technologies.

SourceHarvard John A. Paulson School of Engineering and Applied Sciences·JournalNature Communications·TypeComputational simulation/modeling·DateJul 24, 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.

New computer graphics research: From volcanic lava to robot vacuum room exploration

Researchers at ISTA develop two modeling approaches to represent extremely deformable surfaces more realistically while cutting computational costs. They take inspiration from natural systems like volcanic lava and cake batter to create a wave-based approach, which tackles long-standing graphics problems from a new angle.

SourceInstitute of Science and Technology Austria·JournalACM Transactions on Graphics·TypeComputational simulation/modeling·DateJul 22, 2026

Two Lehigh University AI projects selected for DOE Genesis Mission funding

Two Lehigh University AI projects have been selected for funding from the Department of Energy's Genesis Mission. The RIVER-AI project will improve flood- and water-level prediction, while the REACT project aims to accelerate reactor-scale fusion energy by developing an AI-enabled digital twin. These awards strengthen Lehigh University...

SourceLehigh University·DateJul 22, 2026

KAIST opens a new era of Webtoons: From “viewing” to “experiencing”

A KAIST research team developed an XR comics platform, ComiXR, that enables users to read and create comics in immersive environments. The platform demonstrated increased immersion when comic elements were positioned at different depths and incorporated sensory experiences such as facial expression tracking.

SourceThe Korea Advanced Institute of Science and Technology (KAIST)·TypeComputational simulation/modeling·DateJul 20, 2026

First-of-its-kind computer model of bacterial biofilms could support antibiotic resistance research

A new 3D computer model developed by the University of Surrey has shown how Pseudomonas aeruginosa grows and spreads its protective layer under constant fluid flow. The model's accuracy was validated through laboratory experiments, demonstrating potential for faster and smarter ways to understand bacterial behavior.

SourceUniversity of Surrey·Journalnpj Biofilms and Microbiomes·DateJul 14, 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.

New plug-and-play software simplifies engineering design

Researchers at UCF College of Engineering and Computer Science developed CRAFTS, a plug-and-play software that simplifies engineering design. The software offers a user-friendly interface and modularity, making it accessible to users without extensive coding knowledge.

SourceUniversity of Central Florida College of Engineering and Computer Science·DateJul 14, 2026

The real Moana story: Why the Polynesians suddenly sailed east

A team of geographers and climate scientists found that major drought in Samoa and Tonga forced Polynesians to migrate east into the Pacific. Climate modeling revealed increased rainfall in receiving islands and a shift in sea surface temperatures, creating powerful incentives for people to seek new opportunities.

SourceUniversity of Southampton·JournalJournal of Pacific Archaeology·DateJul 9, 2026

AI mistakes can cost doctors time when writing to patients

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
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.

Building digital twins as decision infrastructure for a complex world

Digital twins are expanding rapidly, using real-time data to simulate and analyze systems before applying them in the real world. The study emphasizes the need for interoperable architectures, machine-readable metadata, and standardized trust frameworks to address challenges such as privacy, cybersecurity, and uncertainty.

SourceBig Earth Data·JournalBig Earth Data·TypeSystematic review·DateJun 26, 2026

Computer model could enable bridges and buildings that use less material

MIT researchers developed a framework that allows users to apply constraints to algorithmically generated structures, making them more buildable. The approach has the potential to reduce carbon emissions in construction by up to 90% by designing structures with multiple materials and taking into account materials' properties.

SourceMassachusetts Institute of Technology·JournalAutomation in Construction·DateJun 24, 2026

UT climate model of last year’s July 4 storms suggests that sea surface temperatures actually reduced rainfall

Research Scientists Edward Vizy and Professor Kerry Cook analyzed a storm that caused catastrophic flooding in Central Texas. They found that warmer-than-average sea surface temperatures weakened the Great Plains low-level jet, resulting in weaker storms and less intense rainfall.

SourceUniversity of Texas at Austin·JournalGeophysical Research Letters·TypeComputational simulation/modeling·DateJun 24, 2026

A better way to model the behavior of metal alloys

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
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.

Digital twin optical computing system

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

Novel generative AI model enables atomic-scale prediction of protein–protein interactions

Researchers have developed a generative AI model called Void-X that can predict protein-protein interactions with high accuracy, enabling the design of new biomolecules for drug discovery and synthetic biology. The model achieves predictive accuracies of 78.3% for intra-chain clusters and 68.2% for inter-chain clusters.

SourceChinese Academy of Sciences Headquarters·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateJun 15, 2026

Going up against the heat: Vertical greenery keeps cities cool

A study found that south-facing green walls can improve indoor thermal conditions by up to 1.7°C and enhance outdoor thermal comfort through albedo effects. Low albedo exterior surfaces also improved outdoor thermal comfort by approximately 1.5°C, while high albedo surfaces reduced indoor temperatures.

SourceOsaka Metropolitan University·JournalEnergy and Buildings·TypeComputational simulation/modeling·DateJun 15, 2026

New imaging system sees through murky waters

A new underwater mapping technique, Sonar-MASt3R, combines sonar and visual data to generate detailed 3D maps of environments in real-time. The system enables vehicles to navigate through cloudy water by quickly mapping the general shape of their surroundings using sonar.

SourceMassachusetts Institute of Technology·DateJun 15, 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.

On the trail of the missing hydrogen atoms

A scientific team has developed an AI-powered approach to solve a practical problem in materials science by locating missing atomic positions in otherwise known structures. By using an adapted open-source model called XtalPaint, researchers can reconstruct accurate crystal representations with a success rate of 97%.

SourcePaul Scherrer Institute·Journalnpj Computational Materials·TypeComputational simulation/modeling·DateJun 11, 2026

AI fast-forwards molecular simulations by 10,000-fold

A new AI model has revolutionized molecular simulations, enabling researchers to predict molecular behavior and identify promising drug candidates more quickly. By analyzing over 12,500 organic molecules, the model has demonstrated accuracy and consistency with physical laws.

SourceChalmers University of Technology·JournalScience Advances·TypeComputational simulation/modeling·DateJun 11, 2026
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.

Time for an AI checkup: Flaw found in machine learning for sepsis treatment

Researchers at Emory University discovered a flaw in reinforcement learning used to guide sepsis treatment, which can result in either overtreatment or undertreatment. The team developed a simple workaround to avoid the flaw, leading to an 8-10% decrease in patient mortality.

SourceEmory University·Journalnpj Digital Medicine·TypeComputational simulation/modeling·DateJun 8, 2026

UNM researchers use new machine learning method to detect self-harm history hidden in veterans’ medical records

Researchers found that diagnosis codes captured only about one-fourth of clinically documented self-harm history, highlighting a common gap in health systems. A new study used a novel machine learning method, PULSNAR, to estimate the probability of self-harm history present but missing from diagnosis codes.

SourceUniversity of New Mexico Health Sciences Center·JournalJournal of Medical Internet Research·TypeData/statistical analysis·DateJun 5, 2026

Physics-trained digital ‘super-brain’ speeds up technology development

A digital 'super-brain' with physics-based knowledge significantly speeds up the design and development of optical components, such as those for quantum computers and camera lenses. By integrating physical principles into machine learning algorithms, researchers reduce simulation time from months to days.

SourceChalmers University of Technology·JournalLaser & Photonics Review·TypeComputational simulation/modeling·DateJun 4, 2026

MIT researchers teach AI models to interpret charts

Researchers from MIT and IBM create a state-of-the-art dataset called ChartNet, which includes over a million varied charts. The dataset is designed to teach vision-language models how to effectively interpret charts, enabling them to outperform commercial models on tasks like data extraction and chart summarization.

SourceMassachusetts Institute of Technology·DateJun 4, 2026
DJI Air 3 (RC-N2)

DJI Air 3 (RC-N2) captures 4K mapping passes and environmental surveys with dual cameras, long flight time, and omnidirectional obstacle sensing.

New low-cost tool reveals hidden molecular switch points under light

A new quantum chemistry method predicts the behavior of molecules under light with lower computational cost, enabling the study of larger systems and complex reaction pathways. This breakthrough advances the discovery of next-generation materials and deepens understanding of molecular behavior under light.

SourceShibaura Institute of Technology·JournalJournal of Chemical Theory and Computation·TypeComputational simulation/modeling·DateJun 1, 2026

When ‘sloppy’ decisions are actually smart

Researchers found that people who are less precise in their decision-making can outperform those who are more rational in certain social situations. This is because 'sloppy' decisions can help individuals avoid the pitfalls of highly sensitive learners, who prioritize short-term gains over long-term benefits. In contrast, in other situ...

SourceUniversiteit van Amsterdam·JournalProceedings of the National Academy of Sciences·DateMay 29, 2026

Soil science: How AI could help scientists secure a vital global resource

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
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.

AI system automates coding for scientific research

A new AI system, Empirical Research Assistance (ERA), can automatically write scientific software programs that outperform human-written ones. ERA combines a large language model with search strategies to explore and refine thousands of pieces of code, reducing the time required for exploration from months to hours or days.

SourceHarvard John A. Paulson School of Engineering and Applied Sciences·JournalNature·TypeComputational simulation/modeling·DateMay 20, 2026

Technology that breaks down barriers in parasports wins Best Paper Award at CHI

A Harvard-led study developed BRIDGE, a simulation technology that reinterprets traditional non-disabled basketball footage into realistic wheelchair basketball video representations. The system significantly improved how natural player postures appeared and made tactical intentions easier to understand.

SourceHarvard John A. Paulson School of Engineering and Applied Sciences·DateMay 19, 2026

Study suggests data centers will boost power bills up to 57% by 2030

New research from North Carolina State University predicts data center power demand will increase by up to 57% by 2030, leading to higher electricity costs and CO2 emissions. The study finds that regional price increases will vary depending on where new data centers are built.

SourceNorth Carolina State University·JournalEnvironmental Research Letters·TypeComputational simulation/modeling·DateMay 18, 2026

New scenarios needed to address climate crisis

Scientists are calling for a fundamental rethink of climate and biodiversity models to address the scale and complexity of crises ahead. The current models focus on incremental change rather than transformative transformations needed for a safe and just future.

SourceUniversity of the Witwatersrand·JournalOne Earth·DateMay 15, 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.

Mathematical analysis reveals a hidden “golden rule” in abstract art

Researchers applied topological methods to distinguish between genuine and fake abstract artworks. They found that the structure of the compositions corresponds with how people perceive them. The study proposes an intuitive mathematical 'golden rule' for structuring art.

SourcePLOS·JournalPLOS Computational Biology·TypeExperimental study·DateMay 14, 2026

New method to carry out long term climate simulations at fraction of cost

Researchers developed a new method to carry out long-term climate simulations at a fraction of the cost and time needed compared to traditional climate models. The team used a powerful climate model to train a much faster statistical emulator that can reproduce climate changes in just minutes.

SourceUniversity of Bristol·JournalNature Communications·DateMay 13, 2026

Researchers “reprogram” materials by quickly rearranging their atoms

A team of researchers has developed a way to precisely move tens of thousands of individual atoms within a material in minutes at room temperature. This approach uses algorithms to carefully position an electron beam and scan the beam to drive atomic motions, enabling the creation of defects with tunable functions.

SourceMassachusetts Institute of Technology·JournalNature·DateMay 13, 2026

UC San Diego researchers launch free ‘digital twin’ for end-to-end testing of applications over wireless networks

The UC San Diego team developed an open-source digital twin platform called Tiny-Twin, which enables fast and realistic testing of applications over wireless networks. The platform allows researchers to test complete applications, such as video streaming, without needing specialized hardware or proprietary data.

SourceUniversity of California - San Diego·TypeComputational simulation/modeling·DateMay 12, 2026
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.

AI models comb patient data to predict cardiac-arrest risk

Researchers developed AI models using electronic health records and electrocardiograms to identify individuals at elevated risk for sudden cardiac arrest. The combined EHR-EKG model correctly predicted 153 of 228 high-risk patients who experienced a cardiac arrest, bringing theoretical risk into focus.

SourceUniversity of Washington School of Medicine/UW Medicine·TypeComputational simulation/modeling·DateMay 12, 2026

New AI tool developed by Stowers Institute and Helmholtz Munich scientists predicts how cells choose their future — helping uncover hidden drivers of development

Researchers developed RegVelo, an AI framework that models cellular dynamics and gene regulation to predict cellular fate decisions. The model traces developmental trajectories and simulates regulatory interactions, providing insights into hidden drivers of development and potential therapeutic targets.

SourceStowers Institute for Medical Research·JournalCell·DateMay 11, 2026
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.