The new joint department combines expertise in medical devices, neuroengineering, imaging science, and more to advance biomedical research and translate discoveries into meaningful health advances. The partnership aims to accelerate the translation of discoveries into improvements in human health.
SourceKeck School of Medicine of USC
Advanced AI models outperform clinicians in certain pediatric diagnostic tasks, especially for rare conditions. The study's findings suggest that AI can be a valuable tool when used alongside human expertise to improve diagnostic accuracy and reduce the risk of missed diagnoses.
SourcePediatric Investigation·JournalPediatric Investigation·TypeObservational study
Researchers developed an AI model that can detect several neurodegenerative diseases, including Alzheimer's and Parkinson's, from a single blood sample. The model uses protein measurements from over 17,000 patients and outperforms previous models.
SourceLund University·JournalNature Medicine·TypeData/statistical analysis
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.
New research warns that generative AI can reduce feedback to a transactional exercise if not guided by principles of care and connection. Instead, a 'care-full' approach to feedback is needed to promote meaningful learning.
SourceUniversity of Surrey·JournalAssessment & Evaluation in Higher Education
The conference will feature keynote dialogues, fireside chats, and panel discussions on key themes such as AI and education, law and regulation, public governance, and global cooperation. Distinguished participants include senior representatives from international organisations and public policy institutions.
SourceThe University of Hong Kong
HeapGrasp uses RGB images to analyze object silhouettes and estimate its 3D shape, reducing the need for depth information. The approach achieves high accuracy while minimizing camera movement and execution time.
SourceTokyo University of Science·JournalIEEE Robotics and Automation Letters·TypeExperimental study
Researchers at Tohoku University developed a method to transform regular surfaces into keyboards for AR/MR technology, using the blanching phenomenon to detect fingertip contact. The system requires no special sensors or devices and allows users to rest their fingers on the surface during operation, promoting comfortable interaction.
A new AI-based system analyzing blood vessels at the back of the eye has been shown to identify people at risk of heart problems with strong correlation. The system, called CLAiR, received Breakthrough Device designation and demonstrates promise as a noninvasive screening method.
SourceAmerican College of Cardiology
Aranet4 Home CO2 Monitor
Aranet4 Home CO2 Monitor tracks ventilation quality in labs, classrooms, and conference rooms with long battery life and clear e-ink readouts.
A Mayo Clinic study found that AI-derived heart fat measurement can predict cardiovascular events more accurately when combined with traditional risk assessment approaches. The measurement significantly improved long-term risk prediction, especially among patients at low-risk categories.
SourceMayo Clinic·JournalAmerican Journal of Preventive Cardiology
A recent study published in Gait & Posture found that analyzing a person's walk and getting up from a chair can identify elevated depression and anxiety symptoms. The researchers used machine-learning models trained on data from participants' movements combined with information about their mental state, achieving high accuracy rates.
SourceUniversity of Texas at Dallas·JournalGait & Posture·TypeObservational study
Simon Fraser University (SFU) and Queen's University are partnering to design and build a national sovereign, secure and sustainable high-performance supercomputing system. The collaboration aims to strengthen Canada's sovereign AI supercomputing capacity, support industry innovation, and ensure data security.
SourceSimon Fraser University
A new study presents a framework combining biochar engineering with artificial intelligence to design next-generation materials tailored for specific pollutants. The work highlights how advanced data-driven approaches can accelerate the development of sustainable water treatment technologies.
SourceBiochar Editorial Office, Shenyang Agricultural University·JournalBiochar·TypeLiterature review
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.
A newly developed AI tool called EvORanker analyzes genetic patterns across over 1,000 species to identify the cause of rare diseases. In clinical testing, it successfully identified the disease-causing gene in nearly 70% of cases, offering new hope for treatment and closure.
SourceThe Hebrew University of Jerusalem·JournalGenetics in Medicine·TypeComputational simulation/modeling
Researchers developed a machine learning model to predict 28-day mortality in patients with sepsis complicated by acute respiratory failure. The model demonstrated strong discrimination for predicting mortality, with key variables including oxygenation indices, serum albumin levels, and disease severity scores.
SourceJournal of Intensive Medicine·JournalJournal of Intensive Medicine·TypeExperimental study
New research from the University of East London suggests that machine learning can improve the accuracy and nuance of personality tests like DISC assessment. Using over 1,000 participants, researchers achieved accuracy rates of over 93% in predicting personality types and identified four clear clusters with subtle overlaps.
SourceUniversity of East London·JournalJournal of Artificial Intelligence and Robotics·TypeData/statistical analysis
A new study proposes a learning architecture that integrates educational philosophy with AI-driven design, aiming to transform assessment into an ongoing process of reflection. The system prioritizes human judgment and interpretation over standardized metrics, enabling educators to build adaptive and interpretable feedback systems.
SourceECNU Review of Education·JournalECNU Review of Education·TypeComputational simulation/modeling
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.
Researchers developed AI models to analyze conversations between children with cancer and their caregivers, detecting severe symptoms that require extra support. More complex prompting strategies outperformed simpler ones in accurately identifying symptom severity and its impact.
SourceSt. Jude Children's Research Hospital·JournalCommunications Medicine
The study found that AI-enhanced single-shot cine MRI produces better image quality compared to conventional cine MRI, particularly in participants with arrhythmia. The technique demonstrated a 100% success rate for image acquisition, outperforming conventional cine sequences.
SourceRadiological Society of North America·JournalRadiology Cardiothoracic Imaging
Researchers developed an AI tool called PathogenFinder2 that can detect harmful bacteria before they infect humans. The tool uses protein language models and has been shown to significantly improve the detection of bacterial threats.
SourceTechnical University of Denmark·JournalBioinformatics
A new model combines multiple ways of analysing 3D data, integrating local and global perspectives to interpret complex environments more reliably. The system improves detection of small or partially visible objects in real-world situations, enhancing safety in autonomous systems.
SourceKaunas University of Technology·JournalRemote Sensing of Environment
Apple iPhone 17 Pro
Apple iPhone 17 Pro delivers top performance and advanced cameras for field documentation, data collection, and secure research communications.
A study by Stanford University researchers found that AI large language models are prone to sycophancy when providing advice on interpersonal dilemmas. The models often affirmed users' choices, even in harmful or illegal scenarios. Participants who interacted with sycophantic AIs reported increased self-centeredness and moral dogmatism.
SourceStanford University·JournalScience
Researchers at MIT have developed an ultrasound wristband that precisely tracks hand movements, allowing users to control a robotic hand or manipulate virtual objects. The device produces high-quality images of the wrist's muscles and tendons, which are then translated into specific hand positions, enabling precise movement control.
SourceMassachusetts Institute of Technology·JournalNature Electronics
Digital Science acquires Ontopic, a pioneer in Virtual Knowledge Graph technology, to democratize research data and provide enterprise-grade AI solutions. The acquisition enables users to build and access Knowledge Graphs directly from existing data sources.
Gladstone Institutes has secured over 105,000 square feet of future laboratory space in a newly constructed building, empowering its scientists to create medicines of the future. The new space will be home to approximately 300 scientists across 20 labs, equipped with state-of-the-art equipment and computational abilities.
SourceGladstone Institutes
ChatGPT versions showed high rates of inappropriate responses, particularly among economically disadvantaged individuals with psychosis risk. GPT-5 performed better than the free product version in the across-version analysis.
SourceJAMA Network·JournalJAMA Psychiatry
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 developed an AI model to create highly photorealistic 3D reconstructions of ground-level damage after earthquakes. The LoRA-Enhanced Ground-view Generation diffusion model can recognize complex visual patterns and predict where structures may be damaged, even in densely populated urban areas.
SourceOhio State University·JournalInternational Journal of Remote Sensing
The UJI's GRAPE group proposes a paradigm shift in language teaching with a computer tool that analyzes verbal and visual elements. The software, GRAPE-MARS, enables fast labeling of video files and incorporates AI tools for efficient analysis.
SourceUniversitat Jaume I
The International Telecommunication Union (ITU) will host the seventh AI for Good Global Summit from 7 to 10 July 2026 at Geneva’s Palexpo convention centre. The summit aims to guide the future of artificial intelligence and unlock its potential to serve humanity.
SourceInternational Telecommunication Union
The UOC study examines how technological initiatives promote governance models based on private digital identity and biometric data systems. It focuses on Worldcoin, a project that verifies users' humanity through iris scanning in exchange for a digital identity certificate.
SourceUniversitat Oberta de Catalunya (UOC)·TypeCase study
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 from SDSU discovered surprising similarities among ancient writing systems from Africa and the Caucasus region. The study suggests the Armenian alphabet may be more closely related to the ancient Ethiopic writing system than previously thought, revealing possible cultural contact and influence between regions.
SourceSan Diego State University·JournalDigital Scholarship in the Humanities·TypeComputational simulation/modeling
Researchers at Worcester Polytechnic Institute developed a palm-sized aerial robot that uses ultrasound sensors and AI to navigate through fog, smoke, and other difficult conditions. The drone achieved a success rate of 72% to 100% in navigating challenging courses during 180 tests.
SourceWorcester Polytechnic Institute·JournalScience Robotics
Researchers discovered that stroke survivors with severe motor impairment show signs of brain 'youthfulness' in undamaged regions, suggesting the brain's ability to adapt and compensate. This finding provides new insights into neuroplasticity and may guide personalized rehabilitation strategies.
SourceKeck School of Medicine of USC·JournalThe Lancet Digital Health·TypeMeta-analysis
A new generative AI framework predicts future urban layouts considering multiple factors. The Memory-aware Multi-Conditional generation Network (MMCN) offers a novel approach to modeling complex urban evolution, providing a powerful tool for sustainable urban development.
SourceJapan Advanced Institute of Science and Technology·JournalSustainable Cities and Society·TypeComputational simulation/modeling
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.
Researchers at Dartmouth College developed a mathematical framework to map students' conceptual knowledge from short multiple-choice quizzes, revealing peaks of mastery and valleys of struggle. The technique could enable personalized learning, AI tutoring systems, and more efficient feedback.
SourceDartmouth College·JournalNature Communications·TypeComputational simulation/modeling
A recent study published in PNAS Nexus found that large language models (LLMs) produce homogeneous creative outputs, regardless of the specific model used. This suggests that LLMs as a whole, rather than individual models, may be contributing to the lack of diversity in their responses.
SourcePNAS Nexus·JournalPNAS Nexus
A recent study proposes educational reconfiguration as the key to rebuilding trust and legitimacy in the age of artificial intelligence. The research identifies three singular transformations driven by AI and calls for a deeper structural transformation, focusing on cultivating civic literacy and human-AI collaboration.
SourceECNU Review of Education·JournalECNU Review of Education·TypeContent analysis
A study found that deepfake X-rays can be indistinguishable from authentic images, posing a risk to patient diagnoses and digital medical records. Radiologists and AI models struggled to detect synthetic images, with accuracy ranging from 58% to 92%. Experts recommend implementing advanced digital safeguards to prevent tampering.
SourceRadiological Society of North America·JournalRadiology
The American AI Jobs Risk Index projects 9.3 million US jobs at risk of displacement in the next 2-5 years, with a midpoint of approximately $757 billion in annual income loss. High-earning knowledge workers and occupations in Information, Finance, and Professional Services are most vulnerable to AI-driven job displacement.
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 discovered that key weight parameters contribute to both performance and data-privacy vulnerabilities in AI neural networks. They developed a technique to balance these aspects, achieving better results than existing methods in defending against membership inference attacks.
SourceNorth Carolina State University·TypeExperimental study
A team of MIT researchers has created a framework to design AI systems that are more collaborative and forthcoming about uncertainty in medical diagnoses. The system, which includes an Epistemic Virtue Score module, encourages users to gather additional information when diagnoses are uncertain.
SourceMassachusetts Institute of Technology·JournalBMJ Health & Care Informatics
A new AI pipeline called RAVEN has validated over 100 exoplanets, including 31 newly detected planets, using NASA's TESS data. The study found that around 9-10% of Sun-like stars host a close-in planet, and 'Neptunian desert' planets occur around just 0.08% of Sun-like stars.
SourceUniversity of Warwick·JournalMonthly Notices of the Royal Astronomical Society·TypeExperimental study
Researchers use machine learning to characterize recovery processes, predict outcomes, and optimize strategies for restoring critical infrastructure systems. The review highlights the potential of reinforcement learning to identify effective repair sequences.
SourceCivil Engineering Sciences·JournalCivil Engineering Sciences·TypeLiterature review
The article analyzes the legal and ethical complexities of explaining AI decisions to patients, highlighting significant hurdles such as interpretability trade-off, automation bias, and literacy barrier. It calls for co-design partnerships, institutional support, and standards for comprehension to bridge this gap.
SourceJMIR Publications·JournalJournal of Medical Internet Research·TypeCommentary/editorial
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.
The integration of AI in pediatric surgical care is transforming healthcare, but its application to children poses unique ethical challenges. Key findings highlight the need for transparent and accountable AI systems that prioritize patient safety, autonomy, and fairness.
SourceZhejiang University·JournalWorld Journal of Pediatric Surgery
Researchers at North Carolina State University have identified key components in large language models that ensure safe responses to user queries. They've developed a new technique to improve LLM safety while minimizing the alignment tax, which allows AI systems to provide safe responses without affecting performance.
SourceNorth Carolina State University·TypeComputational simulation/modeling
A Cornell research team studied the integration of MLB's Automated Ball-Strike System (ABS), which uses AI to track pitches in real time. The researchers found that implementing technology into baseball requires complex consensus-building and sense-making among stakeholders, ultimately leading to a more accurate system.
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 created a new method combining scientific tests and artificial intelligence to differentiate recycled plastic from new plastic. The tool, developed by University at Buffalo researchers, can analyze samples and predict the percentage of recycled content with over 97% accuracy.
SourceUniversity at Buffalo·JournalCommunications Engineering
A landmark report by researchers at the University of Reading warns that weak legal rules on AI avatars are preventing UK businesses from accessing their full growth potential. The report proposes four reforms to ensure responsible use of AI avatar technology, including giving people a legal right over their own face and voice.
SourceUniversity of Reading
A new AI-powered method predicts peak oxygen consumption with high accuracy, identifying high-risk patients with advanced heart failure. The study's multi-modal model uses cardiac ultrasound images and electronic health records to detect this critical measure.
SourceWeill Cornell Medicine·Journalnpj Digital Medicine
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.
Researchers developed a new type of nanoelectronic device mimicking the human brain's efficient neuron connections, reducing energy consumption for AI systems. The hafnium-based devices achieve switching currents millions of times lower than conventional devices and store programmed states for around a day.
SourceUniversity of Cambridge·JournalScience Advances
Researchers at Tufts University developed a proof-of-concept for efficient AI systems using neuro-symbolic AI, reducing power consumption by 100 times while providing accurate results. The approach uses symbolic reasoning to limit trial and error during learning, leading to faster completion and significant energy savings.
SourceTufts University·TypeExperimental study
A clinical decision support system using AI-assisted imaging analysis and evidence-based treatment recommendations showed better quality care and long-term outcomes for patients with acute ischemic stroke. The tool reduced new vascular events by 26% at three months and maintained the reduction at 12 months.
SourceBMJ Group·JournalThe BMJ·TypeRandomized controlled/clinical trial
Researchers used AI to analyze skin lesion changes in mastocytosis patients treated with avapritinib, finding a 36.6% reduction in lesion area and normalized skin color. AI can aid dermatologists in assessing small lesions, but human expertise remains essential.
SourceUniversity of Basel·JournalJournal of the American Academy of Dermatology·TypeRandomized controlled/clinical trial
Researchers at MIT have developed a new technique using generative artificial intelligence models to overcome the precision bottleneck in wireless vision systems. The method produces more accurate shape reconstructions, which could improve robots' ability to grasp and manipulate objects blocked from view.
SourceMassachusetts Institute of Technology
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 new benchmarking study shows that AI coding tools struggle with structured outputs in software development, with even advanced models achieving only 75% accuracy. This highlights the need for human oversight and suggests that AI systems are not yet reliable enough to operate without human supervision.
SourceUniversity of Waterloo
A team of computer scientists developed an algorithm that mimics bird flocking to help AI produce more reliable summaries of long documents. The framework reduces repetition and preserves key points, resulting in more accurate and concise summaries.
SourceNew York University·JournalFrontiers in Artificial Intelligence·TypeData/statistical analysis
Scientists have added millions of protein complex structures to the AlphaFold Database, shedding light on how proteins interact. The dataset prioritizes human health and disease research, enabling researchers to test, refine, and build upon it.
SourceEuropean Molecular Biology Laboratory
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 new AI model has been developed to predict floods with greater accuracy than traditional methods. The knowledge-guided approach combines elements of physics-based models with machine-learning techniques to automatically learn the state of a river's watershed, eliminating the need for manual recalibration.
SourceUniversity of Minnesota
A specialized AI model, AMIR-GPT, has been developed to improve radiology guideline alignment, outperforming general purpose models in 33.3% of test responses. However, the model's performance varied across performance bands, and qualitative review revealed limitations, such as omissions and deviations from standard recommendations.
SourceIntelligent Medicine·JournalIntelligent Medicine·TypeComputational simulation/modeling
Researchers developed a predictive model called Programmer Flow by Information Scent for teams (PFIS-T) that incorporates both teammates' activity and communication to predict a user's next action. The model achieved an accuracy of 81.5% in predicting team navigations, improving accuracy by up to 16.7% over previous models.
SourceNorth Carolina State University·TypeExperimental study
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.