Articles tagged with Learning Processes
Salk scientists develop new method to quantify synaptic features, revealing high precision of plasticity and up to 10 times more storage capacity. The technique uses information theory to analyze synapse pairs from a rat hippocampus, offering a scalable approach for studying brain function.
Researchers at UC San Francisco found that dispensing abortion pills through the mail is a safe and effective method, with nearly 98% of patients completing their abortions. The study suggests that this model can help increase access to abortion care for clinicians and patients alike.
A new study finds that coaching employees is crucial in fostering inclusive strategy development processes. The research highlights the importance of employee learning and managerial coaching in unlocking innovative strategic ideas.
A new approach uses neural networks to automatically determine polynomial coefficients for digital pre-distortion (DPD) in RF-PAs, reducing hardware complexity and power efficiency. This method can correct non-linearities and support emerging standards without extensive real-time processing.
A new Bayesian inference framework reduces data size by over 80% while achieving accurate modeling and control of optical power evolution. The approach enables simultaneous exploitation and exploration of a data space to identify suitable candidates for autonomous driving optical networks.
Researchers created a digital twin model that predicts and controls complex systems, achieving higher accuracy than traditional methods. The algorithm is compact, energy-efficient, and easy to implement, making it suitable for self-driving vehicles and other dynamic systems.
A study found that adult chimpanzees continue to learn and refine their tool-using skills well into adulthood, suggesting a prolonged learning capacity is key to the evolution of complex tool use in chimps and humans. Chimpanzees developed motor skills for handling sticks by age six, but continued to hone techniques until age 15.
Researchers discover a new mechanism of neural plasticity underlying learning and memory processes, highlighting the crucial role of chondroitin sulfates in brain function. The study provides insights into how these molecules contribute to synaptic modifications and spatial memory.
Researchers have pinpointed the location of an internal neural compass in the human brain, which helps orientate itself in space and navigate through the environment. This discovery has implications for understanding diseases such as Parkinson's and Alzheimer's, where navigation and orientation are often impaired.
Researchers developed a new AI algorithm called Maximum Diffusion Reinforcement Learning (MaxDiff RL) to improve robot reliability. The algorithm enables robots to learn complex skills more efficiently by encouraging exploration of their environments.
Researchers developed a device controlling tiny magnetic states in ultrathin magnets using tunneling currents, enabling probabilistic computing. This breakthrough could lead to advanced memory devices and entirely new types of computers solving complex problems efficiently.
Researchers have created a method to control pneumatic artificial muscles with embedded bifurcation structures, which can generate diverse dynamics and patterns. This breakthrough enables robots to exhibit more adaptable and flexible movements, streamlining hardware and software development.
Using AI software called SLEAP, scientists at Salk Institute are designing climate-saving plants with optimized root systems that can store more carbon. This approach enables researchers to analyze plant features and connect desirable traits to targetable genes, accelerating the development of carbon-capturing plants.
The study reveals that experienced programmers exhibit brain responses similar to those of fluent readers processing sentences, indicating a strong resemblance between learning computer and natural languages. The research suggests that understanding how people learn to code can be informed by expertise in second-language learning.
A recent study published in PLOS Biology found that post-mitotic brain neurons re-entering the cell cycle rapidly succumb to senescence. This process is more common in Alzheimer's disease and may provide valuable information about neurodegeneration, while the technique used can be applied to other inquiries.
A new study published in npj Mental Health Research reveals three distinct language comprehension mechanisms in autistic children, challenging the common linear trajectory of language development. The findings support the idea that intensive language therapy should start earlier and highlight the importance of improving language compre...
Researchers used a new integrated wireless system to record brain activity in frontal areas of macaques' brains while they foraged. The results indicate that foraging strategies are based on a cortical model of reward dynamics.
A new study by UNC-Chapel Hill researcher Jennifer E. Arnold examines how people use 'they/them' pronouns in a spoken storytelling context. The findings show that college-aged speakers are able to adopt and use nonbinary 'they' with ease, suggesting a natural process of language change.
A study published in Cell Reports found that environmental factors play a significant role in shaping metacognitive abilities, including mentalizing. The researchers used twin studies to investigate the interplay between genetics and environment on cognitive processing.
Researchers investigate the neuroprotective effects of tocotrienols in alleviating obesity-induced cognitive decline. The study found that T3s treatment improved cognitive function and mitigated oxidative stress in mice fed with a high-fat, high-sucrose diet.
Researchers at the University of Cologne found that training can optimize word recognition, leading to improved reading efficiency. The 'Lexical Categorization Model' uses behavioral findings to predict brain activation and separates known words from unknown letter combinations.
The American Heart Association has awarded $15 million to researchers studying the role of inflammation in cardiac and brain diseases. The four-year project aims to better understand the body's response to inflammation and prevent or treat inflammation-driven cardiovascular diseases.
Researchers have developed an active learning strategy to accelerate the synthesis of high-performance engineered biochar with enhanced CO2 uptake. The approach nearly doubled CO2 capture performance, showcasing its transformative impact.
Researchers investigate how early-stage Alzheimer's disease affects memory formation by examining synaptic connections and amyloid beta. The study aims to understand the role of NMDA receptors in synaptic plasticity and how they might be hijacked by amyloid beta, leading to memory dysfunction.
Researchers at Bar-Ilan University developed a new AI confidence measure that distinguishes between high- and low-confidence decision making in deep learning architectures. This breakthrough enables the creation of safer and more reliable autonomous vehicles by prioritizing human intervention when confidence levels are lower.
Researchers at RIKEN Center for Brain Science discovered neural circuitry in the spinal cord that enables brain-independent motor learning and recall. The study found two critical groups of neurons: one necessary for new adaptive learning and another for recalling adaptations once learned.
Kiruba Krishnaswamy's project aims to tackle hidden hunger by developing a circular, culturally appropriate food system model. The research focuses on micronutrients and community-based solutions to address malnutrition and obesity, with the ultimate goal of reducing chronic hunger.
A new study by Carey Morewedge and colleagues found that people are more likely to recognize bias in algorithmic decisions than their own. This is because algorithms can codify and amplify human bias, but also reveal structural biases in society. The research suggests ways to increase awareness of biases and correct them.
A new study found that non-medical cannabis use is significantly associated with a 96% decrease in odds of subjective cognitive decline. However, medical and dual-use were not significant in reducing the risk of SCD. The study highlights the potential protective effects of cannabis on cognition, but more longitudinal research is needed...
The study found that the cerebellum uses information about errors to refine movement and contributes to cognitive functions. The posterior lateral region of the cerebellum is interconnected with the prefrontal cortex and helps shape cognition.
Researchers discovered a class of cerebellar inputs, called climbing fibres, are essential for associative learning to occur. These
Researchers at Queen Mary University of London discovered that newly hatched chicks can link touch and vision without prior learning, suggesting a pre-wired ability for cross-modal perception. This finding contradicts long-held beliefs and opens new avenues in understanding brain processing across senses.
A WVU researcher is studying newly released records of private communications between U.S. Supreme Court justices to learn how they interact and relate behind the scenes. The data, donated by Justice John Paul Stevens, may reveal insights into the collegiality between justices and their interactions on landmark cases.
Researchers have developed a new open-source algorithm called Conditional Variational Diffusion Model (CVDM) that improves the quality of images by reconstructing them from randomness. The CVDM is computationally less expensive than established diffusion models and can be easily adapted for various applications.
A study by UPF found that six-month-old babies can predict the actions of people who speak their native language, but not those who speak an unfamiliar language. This suggests that infants' ability to predict others' behavior is linked to the language they speak and may be influenced by social factors.
The team of Professor Jeongho Kwak from DGIST developed a 'VisionScaling' algorithm that combines accuracy and efficiency for 6G vision services, reducing energy consumption by at least 30% while maintaining average accuracy. The algorithm adapts to changing mobile environments using Online Convex Optimization (OCO) techniques.
A recent study found that eating fortified eggs had no adverse effect on blood cholesterol levels and may even have beneficial effects on cardiovascular health. Subgroup analyses revealed potential benefits among older adults and those with diabetes.
A large study found that drinking more than one drink per day can increase the risk of coronary heart disease, especially among young to middle-aged women. The risk was highest among those who engaged in binge drinking, with women facing a 68% higher risk compared to moderate drinkers.
Researchers at University of Missouri are developing software that allows drones to fly independently, perceiving and interacting with their environment while achieving specific goals. This technology has the potential to assist in mapping and monitoring applications, such as 3D or 4D advanced imagery for disaster response.
Early bilingualism may protect theory of mind abilities against normal age-related declines. The research team found that early bilingualism was associated with higher gray matter volume, greater cortical thickness, and larger surface area in brain regions involved in mental state inferences and language processes.
Researchers discovered that MEIS2 plays a critical role in activating genes necessary for the formation of inhibitory projection neurons, vital for motion control and decision-making. A MEIS2 mutation found in patients with intellectual disability disrupts these processes.
A new MIT-derived algorithm corrects coarse climate model predictions by 'nudging' them toward more realistic patterns, leading to more accurate forecasts of extreme weather events. The approach uses machine learning and dynamical systems theory to improve the resolution of large-scale climate models.
The EvidenceNOW initiative, launched by AHRQ in 2015, aimed to improve cardiovascular care in small and medium-sized primary care practices. The program provided external quality improvement support and funding to seven regions across the US, resulting in improved quality of care and heart health outcomes.
Researchers developed a new model that highlights the crucial role of interactions among neighboring contact sites of nerve cells for brain plasticity. Synaptic plasticity, the brain's method for learning, is shaped by the strength and stability of neuronal connections, which are influenced by both excitatory and inhibitory synapses.
Researchers at WVU are developing an AI tool to reduce medication errors that lead to hospital readmissions, aiming to improve patient safety and reduce healthcare costs. The tool will analyze patient records and identify high-risk patients, alerting pharmacists to potential issues.
Researchers have developed a new AI model, AsymMirai, to predict 5-year breast cancer risk from mammograms. The model performs almost as well as the state-of-the-art Mirai, but with an interpretable reasoning process, making it a valuable adjunct to human radiologists.
Researchers found that individuals who excel at synchronizing speech rhythms can learn new words more efficiently and have stronger connections between brain areas involved in language processing. This ability is stable across time and not dependent on language experience.
A pilot study shows that an online course can help students develop a 'can-do' attitude in just 35-40 minutes. The course aims to equip students with strategies to evoke this feeling when needed, potentially leading to increased persistence and success.
The researchers highlight the need for interdisciplinary research on information overload and call for legislative action to mitigate its effects on emotional health, job performance, and societal interactions. They cite a potential solution in teaching 'information ecology' in school, similar to the Clean Air Act in the UK.
Researchers at Bar-Ilan University discovered that each filter recognizes small clusters of images, with sharpened recognition as layers progress. This breakthrough can improve AI performance by reducing latency and memory usage while maintaining accuracy.
Researchers used generative AI to design a lead molecule for treating fibrosis, a biological process associated with aging. The compound, INS018_055, demonstrated significant efficacy in preclinical studies and showed promising results in clinical trials, accelerating drug discovery and providing new therapeutic options.
A new study found that the brains of polyglots process their native language with minimal effort, while more proficient languages activate the language network stronger. The researchers explored how polyglots' brains respond to different languages and proficiency levels.
Researchers develop framework to assess relative value of rules and data in AI models, improving efficiency and accuracy in scientific problems. The framework optimizes model training by tweaking the influence of different rules, filtering out redundant ones, and identifying synergistic relationships between rules.
A genome-wide meta-analysis study found that early vocabulary size is genetically linked to ADHD, literacy and cognitive abilities in children. The study used data from over 17,000 English-, Danish- or Dutch-speaking children and identified multiple genetic factors underlying vocabulary size in infancy and toddlerhood.
A UC Riverside-led study found that moderately anxious children from minoritized groups are hypervigilant to threats, exacerbating their general state of anxiety. The study used MRI scanners and involved preadolescent Latina girls from low-income families.
Dr. Ryyna Ethell's lab at UC Riverside has been awarded a $2.4 million NIH grant to investigate the role of astrocytes in inhibitory synapse development and their connection to neurodevelopmental disorders like ADHD and autism.
Researchers capture atomic resolution images of ionotropic glutamate receptor transporting calcium, revealing a temporary pocket that traps calcium. The mechanism discovered is conserved across all species of mammals and has implications for synaptic function and learning processes.
A new American Heart Association scientific statement highlights the value of AI technology in improving cardiovascular disease patient outcomes. Despite its potential, AI applications face gaps and challenges, including robust clinical validation and addressing biases.
Researchers developed an AI-driven lab called Fast-Cat that uses artificial intelligence to provide in-depth analyses of catalytic reactions. The tool conducts high-temperature gas-liquid reactions and analyzes results to determine how different variables affect the outcome of each experiment.
A new AI model developed by MIT researchers breaks down complex warehouse navigation into smaller chunks, identifying optimal areas for decongesting robots. The technique improves efficiency by nearly four times, opening up potential applications in other complex planning tasks.