What’s on the horizon for Australia’s road safety?
A new study forecasts Australia's road traffic fatalities to rise to 998 by 2030 and 715 by 2050, with older drivers and male motorcyclists at the greatest risk
Adaptive Systems
Articles tagged with Adaptive Systems
Chicken ‘woody breast’ detection improved with advanced machine learning model
A new machine learning model, NAS-WD, has improved the accuracy of detecting 'woody breast' in chicken meat to 95%, allowing for better quality assurance and customer confidence. The model uses hyperspectral imaging to analyze complex data from images, enabling more accurate detection than traditional methods.
SourceUniversity of Arkansas System Division of Agriculture·JournalArtificial Intelligence in Agriculture·TypeImaging analysis·DateFeb 10, 2025
Human civilization at a critical junction between authoritarian collapse and superabundance
A new study warns that human civilization is poised for a significant transformation as industrial civilization declines, giving rise to a postmaterialist, clean energy-based system. Rising authoritarianism poses a threat to this transition.
Transportation institute awarded nearly $1 million in trucking education grants
The Virginia Tech Transportation Institute received nearly $1 million in grants to develop and enhance tractor-trailer educational programs. The programs focus on advanced driver assistance systems (ADAS) and safer driving outreach, aiming to save lives by educating drivers on the benefits of these technologies.
Study offers improvements to food quality computer predictions
A study from the University of Arkansas System Division of Agriculture has improved food quality computer predictions by using human perception data. The researchers trained a computer model to mimic human adaptation to environmental conditions, resulting in more consistent predictions under different lighting conditions.
SourceUniversity of Arkansas System Division of Agriculture·JournalJournal of Food Engineering·TypeComputational simulation/modeling·DateSep 24, 2024
Adaptive-optical 3D microscopy for microfluidic multiphase flows
Researchers developed a novel adaptive optics approach to correct dynamical aberrations in optical microscopy, enabling accurate three-dimensional flow measurements. The system reduces measurement uncertainty, paving the way to better understanding water droplet formation and detachment mechanisms for fuel cells.
SourceLight Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS·JournalLight: Advanced Manufacturing·DateSep 9, 2024
Adaptive 3D printing system to pick and place bugs and other organisms
A first-of-its-kind adaptive 3D printing system developed by the University of Minnesota Twin Cities researchers can identify organism positions and safely move them to specific locations for assembly. This technology saves time and money in bioimaging, cybernetics, and cryopreservation.
UCF launches inaugural mentorship, scholarship initiative for students in AI
UCF's STRONG-AI initiative aims to uplift bright, low-income undergraduate students in pursuing well-rounded AI education through faculty and peer mentorship and scholarship. The program has received over 150 applications and will select 10-15 students annually based on financial aid eligibility and academic success.
From 'CyberSlug' to 'CyberOctopus': New AI explores, remembers, seeks novelty, overcomes obstacles
Scientists have developed an AI that can navigate new environments, seek rewards, map landmarks and overcome obstacles using a novel approach inspired by the brain circuits of sea slugs and octopuses. The new AI, called CyberOctopus, has the ability to explore and gather information while learning on the job.
SourceUniversity of Illinois at Urbana-Champaign, News Bureau·JournalNeurocomputing·TypeExperimental study·DateJun 25, 2024
Simplicity versus adaptability: Understanding the balance between habitual and goal-directed behaviors
A new study on learning has provided insights into the balance between habitual and goal-directed behaviors, with implications for AI development. The research suggests that a balance between these two types of behavior is necessary for efficient and adaptable decision-making in AI systems.
SourceOkinawa Institute of Science and Technology (OIST) Graduate University·JournalNature Communications·TypeComputational simulation/modeling·DateJun 16, 2024
Deep learning reveals molecular secrets of explosive perchlorate salts
Researchers developed a novel deep learning method to study crystal structure and molecular interactions of perchlorate salts. The analysis revealed that the explosives' nature is linked to chemical bonding and intermolecular interactions.
SourceTokyo University of Science·JournalFirePhysChem·TypeComputational simulation/modeling·DateJan 25, 2024
TRAILS AI Institute announces first round of Seed Funding
The TRAILS AI Institute has awarded eight seed grants totaling $1.5 million to advance AI design, development and governance. The funded projects include developing AI chatbots for smoking cessation and designing animal-like robots for autism support.
Artificial intelligence as therapeutic support
Researchers developed an AI system that analyzed video recordings from therapy sessions with patients with borderline personality pathology. The system accurately detected the emotional states of patients, including fleeting micro-expressions. It also identified a predictor for therapy success: 'social' smiling at the start of a session.
INU researchers develop novel deep learning-based detection system for autonomous vehicles
A new deep learning-based detection system has been developed by INU researchers to improve the detection capabilities of autonomous vehicles. The system, aided by IoT technology, generates bounding boxes and confidence scores for visible obstacles using point cloud data and RGB images as input.
SourceIncheon National University·JournalIEEE Transactions on Intelligent Transportation Systems·TypeComputational simulation/modeling·DateNov 30, 2023
Researchers find neurons work as a team to process social interactions
Neurons in the ventrolateral prefrontal cortex (VLPFC) work together to process social interactions by combining facial and vocal information. The study found that individual neurons did not exhibit strong responses to expressions or identities, but population-level activity could be decoded to reveal the identity and expression in vid...
Can AI push the boundaries of privacy and reach the subconscious mind?
The European Union's AI act could enable AI to access our subconscious minds, potentially leading to manipulation. According to Ignasi Beltran de Heredia, only 5% of brain activity is conscious, and the remaining 95% operates subconsciously, making it difficult for us to control or even be aware of.
SourceUniversitat Oberta de Catalunya (UOC)·JournalRevista de la Facultad de Derecho de México·TypeLiterature review·DateNov 24, 2023
Grant backs research on teaching networks to make better decisions
Researchers at Rice University are developing a machine learning framework to improve decision-making processes in military communication networks. The goal is to enable rapid, adaptive action across a broad range of scenarios by combining local data in the most effective manner.
Researchers adapt health system COVID-19 collaboration to track near-real-time trends in visits for substance use
Researchers adapted a COVID-19 collaboration to monitor near-real-time trends in substance use-related hospital and emergency department visits. Detailed data shows large increases in methamphetamine- and opioid-involved hospital and ED visits among Native American, Black, and multiple-race populations.
SourceHennepin Healthcare Research Institute·JournalHealth Affairs·TypeData/statistical analysis·DateNov 10, 2023
Developing next-gen traffic signal control systems with air quality in mind
Yu Yang's NSF-funded research aims to reduce vehicle emissions and promote the use of electric bikes and scooters by developing socially informed traffic signal control systems. The project involves a three-pronged method that uses low-cost mobile air-quality sensing, spatial-temporal graph diffusion learning, and reinforcement learnin...
AI should be better understood and managed – new research warns
A Lancaster University academic argues that AI and algorithms contribute to polarization, radicalism, and political violence, posing a threat to national security. The paper examines how AI has been securitized throughout its history, highlighting the need for better understanding and management of its risks.
Using deep learning to classify post-COVID-19 lung progression phenotypes
Post-Acute Sequelae of COVID-19 research aims to track long-term health symptoms in survivors. A $3.7 million grant will support the development of self-supervised deep learning technologies to recognize post-COVID lung progression phenotypes.
Precious1GPT: multimodal transfer learning for aging clock development and target discovery
Researchers developed Precious1GPT, a multimodal transformer-based approach for aging clock development and feature importance analysis. The model utilizes methylation and transcriptomic data to predict biological age and identify disease-related genes, providing a pathway for therapeutic drug discovery.
Study: Brain circuits for locomotion evolved long before appendages and skeletons
Researchers discovered parallels between the brain architecture of sea slugs and more complex segmented creatures with jointed skeletons and appendages. The study suggests that simpler organisms like sea slugs adapted a network of neurons to govern locomotion and posture, which was later inherited by more complex animals.
SourceUniversity of Illinois at Urbana-Champaign, News Bureau·TypeExperimental study·DateApr 26, 2023
Is this the future of farming?
Researchers propose a 'state space' approach to reframe farming planning questions, enabling analytics and machine learning to explore optimal crop combinations and simulate different scenarios. This framework allows farmers to design diverse agricultural landscapes based on natural ecosystems, increasing crop yield and sustainability.
Oncotarget | Unlocking the potential of molecular-driven stratification of osteosarcoma
Researchers develop unsupervised machine learning algorithm to classify osteosarcoma at diagnosis based on gene expression modules. This approach enables personalized treatment strategies for osteosarcoma patients.
New UCF project seeks to advance human understanding of AI reasoning
Researchers seek to develop algorithms providing meaningful explanations for AI decision-making, enabling higher human trust and adoption in fields like science. The project focuses on symbolic reasoning and estimating explanation accuracy, addressing the need for transparent AI systems.
UMass Lowell NERVE Center and partners celebrate decade of advanced robotics design and discovery
The NERVE Center has developed test methods and metrics for various robots, identifying limitations to improve systems. The center's success grew its research capabilities through partnerships with NIST and the U.S. Army.
Genetic ‘hitchhikers’ can be directed using CRISPR
Researchers develop CRISPR-Cas systems associated with transposons to rewrite large chunks of DNA in organisms like E. coli. This expands the CRISPR toolbox for flexible genome editing and has significant implications for therapeutics, biotechnology, and agriculture.
SourceNorth Carolina State University·JournalNucleic Acids Research·TypeExperimental study·DateNov 21, 2022
In ironic twist, CRISPR system used to befuddle bacteria
Researchers at North Carolina State University developed a CRISPR-based system that uses engineered bacteriophages to deliver genetic payloads to specific bacteria, even in complex environments. This technology enables precise single-letter changes to the genome without double-strand DNA breakage.
SourceNorth Carolina State University·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateNov 7, 2022
Working with mountain communities could help water systems adapt to climate
Two billion people globally rely on mountain water for drinking and irrigation, which is under threat due to global heating. Researchers propose integrated water strategies that include scientists working directly with communities to drive climate adaptation and boost water security.
A broader definition of learning could help stimulate interdisciplinary research
Researchers propose a broader definition of learning that includes behavioral adaptation to environmental features, enabling collaboration across fields and promoting new research. This 'mechanism-free' approach highlights the importance of system-level responses to environment in various domains.
SourceAssociation for Psychological Science·JournalPerspectives on Psychological Science·TypeLiterature review·DateOct 21, 2022
UC San Diego joins NIH 'Bridge to Artificial Intelligence' program
The University of California, San Diego is part of the National Institutes of Health's Bridge to Artificial Intelligence program, aiming to create comprehensive AI-ready datasets. The program will support researchers in developing interpretable and trustworthy AI technologies to improve human health.
New project to use AI to improve educational outcomes
A new University of Illinois project aims to improve undergraduate students' ability to estimate their knowledge using artificial intelligence methods. The researchers will utilize machine learning to anticipate student performance and provide personalized feedback to enhance studying strategies.
Aging | Aging the brain: multi-region methylation principal component based clock in the context of Alzheimer’s disease
A new study introduces a novel epigenetic predictor, PCBrainAge, that captures aging heterogeneity across multiple brain regions. The tool demonstrates stronger associations with AD dementia and pathologic AD compared to existing age predictors.
Researchers lift the veil on stubborn probiotic
NC State researchers discovered a new way to make the difficult-to-characterize gut bacterium Bifidobacterium more responsive to antibiotics. They also found tiny changes in different strains that reflect large differences in their characteristics, highlighting the need for individualized CRISPR-based genome engineering approaches.
SourceNorth Carolina State University·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateJul 18, 2022
Breaking AIs to make them better
A team of researchers led by Danilo Vasconcellos Vargas has developed a new method called 'Raw Zero-Shot' to evaluate the robustness of artificial neural networks in image recognition. The study found that Capsule Networks produced the densest clusters, indicating improved transferability and potential solutions for improving AI robust...
CAREER Award: Helping more people benefit from less-invasive robotic surgery
Homa Alemzadeh's research aims to develop safety monitoring tools for robotic surgery, enabling better training for surgeons and increasing the availability of less-invasive procedures. Her work has the potential to improve patient outcomes in underserved rural communities.
Shedding light on turbulence with wave-optics simulations
Researchers conducted wave-optics simulations to study the impact of turbulence on light beams, finding that branch point density grows non-linearly with grid resolution. The study's results could lead to more accurate modeling and improved performance in Adaptive Optics systems.
SourceSPIE--International Society for Optics and Photonics·JournalOptical Engineering·DateMay 18, 2022
Geisel researchers receive $4 million grant to improve office visit interactions between people living with dementia, care partners, and clinicians
Researchers aim to develop an audio health library to enhance communication during triadic visits. The study will analyze primary care visits and conduct user-design sessions to refine the system.
Machine learning improves human speech recognition
Researchers developed a machine learning model that provides good predictions for human speech recognition in noisy environments, benefiting hearing-impaired listeners. The model outperformed expectations and showed strong correlations with measured data.
SourceAmerican Institute of Physics·JournalThe Journal of the Acoustical Society of America·DateMar 1, 2022
Fingertip sensitivity for robots
A team of scientists developed a soft haptic sensor that can accurately estimate contact points and forces using computer vision and deep neural networks. The sensor is sensitive enough to detect even tiny forces and detailed object shapes.
SourceMax Planck Institute for Intelligent Systems·JournalNature Machine Intelligence·DateFeb 24, 2022
Can AI predict your thermal comfort from the layout of a room?
A team of scientists developed an AI-based model to predict personal thermal comfort based on spatial parameters, achieving exceptional accuracy. The study highlights the importance of incorporating architectural features in models to reduce energy consumption.
SourceXi'an Jiaotong-Liverpool University·JournalJournal of Building Engineering·TypeComputational simulation/modeling·DateJan 25, 2022
Sidewinding young stellar jets spied by Gemini South
Astronomers have captured detailed images of sinuous stellar jets emanating from young stars, suggesting that their sidewinding appearances are caused by gravitational attraction from companion stars. The observations were made using the Gemini South telescope's adaptive optics system.
SourceAssociation of Universities for Research in Astronomy (AURA)·TypeObservational study·DateJan 21, 2022
During online learning, machine learning algorithm can identify when student engagement falls, nudging students and helping teachers to intervene
A new machine learning-based approach enhances student engagement in online environments. The algorithm detects when students disengage, prompting interventions to improve learning outcomes.
Giving AI penalties to get better diagnoses
A new study improves AI diagnoses by penalizing algorithms for false negatives, which can be more urgent than accuracy. Researchers achieved significant improvements in precision and recall for chronic kidney disease and other conditions using cost sensitivity techniques.
SourceUniversity of Johannesburg·JournalInformatics in Medicine Unlocked·TypeData/statistical analysis·DateNov 1, 2021
AI predicts extensive material properties to break down a previously insurmountable wall
Researchers used machine learning to analyze core-loss spectroscopy data, revealing connections between spectral data and material properties. The study successfully predicted intensive and extensive material properties, enabling high-throughput development of new materials.
SourceInstitute of Industrial Science, The University of Tokyo·JournalAdvanced Intelligent Systems·DateOct 15, 2021
Scientists taught intelligence system to accurate forecast of pile bearing capacity
Researchers from South Ural State University created a hybrid intelligence system that can predict pile bearing capacity with high accuracy. The system, developed by combining adaptive neuro-fuzzy inference system and group method of data handling, outperformed traditional methods and provided close to measured values.
A warning system better suited to different heat waves
A new warning system has been proposed to address increasing heat waves due to climate change, taking into account evolving heat thresholds and longer hot seasons. The system aims to prevent heat-related mortality outside typical heat wave periods through health alerts.
SourceInstitut national de la recherche scientifique - INRS·JournalBMC Public Health·DateAug 5, 2021
Liotta receives funding for collaborative project
George Mason University's Lance Liotta has received a grant of $72,000 to study the adaptation mechanisms of cellular protein networks. The Australian Research Council Future Fellowship will provide an additional $784,680 over two years.
Energy efficiency is important to wireless and broadcast networks
Researchers at the University of Bristol have developed a spatially adaptive broadcast system that enables broadcasters to adapt their geographical coverage in real-time, reducing energy consumption by up to 35%. This technology has the potential to improve the energy efficiency of wireless and broadcast networks.
Video analysis of factors associated with response time to monitor alarms
A video analysis study by Christopher P. Bonafide and colleagues investigated factors influencing nurse response times to bedside monitor alarms. The research found that nurse experience, alarm type, and hospital environment all played significant roles in shaping response times.
Healthcare systems must adapt to cope with escalating impact of ageing populations
The global population has more than doubled since 1960, with over 20% of people aged 60+ in developed countries by 2030. Healthcare systems must adapt to cope with the impact of ageing populations, including reducing hospital beds and reallocating budgets.
SourceOxford University Press UK·JournalInternational Journal for Quality in Health Care·DateMar 16, 2016
See amazing new sun images from NJIT's Big Bear Solar Observatory
The Big Bear Solar Observatory has achieved 'first light' using a deformable mirror, resulting in the most detailed visible light image of a sunspot ever captured. This achievement marks a significant milestone for the observatory's adaptive optics system, which will enable better studies of solar complex phenomena and space weather.
Chili peppers help to unravel the mechanism of pain
Researchers discovered that capsaicin, found in chili peppers, triggers a desensitization process in pain receptors, allowing them to adapt to painful stimuli. This adaptive response enables the receptor to continuously respond to varying stimuli, leading to a shift in responsiveness threshold.
World's largest solar adaptive optics system developed in New Mexico
The new AO76 system, developed by the National Optical Astronomy Observatory in New Mexico, produces sharper images under worse seeing conditions than the previous AO24 system. This allows existing solar telescopes to produce higher resolution images and greatly improve their scientific output.
Adaptive optics ushers in a new era in ground-based astronomy
Adaptive optics systems are expanding ground-based astronomy capabilities, enabling unprecedented views of the universe. The technology has already produced eightfold improvements in image quality at observatories like the W.M. Keck Observatory in Hawaii.