Articles tagged with Learning Processes
Researchers develop model to calculate ideal learning rate based on environmental change and life cycle. The optimal pace of learning increases in the same way regardless of environmental changes, suggesting a generalizable phenomenon underlying learning in various ecosystems.
A new study from Virginia Tech shows large language models can assess human-made environments using street-view images, similar to traditional methods. LLM-based performance offers a more accessible tool for users in small to medium-sized cities, making it easier to manage smart urban infrastructure.
A study by researchers at the University of Zurich found that common marmosets' brain development is shaped by prolonged learning from social interactions, similar to humans. This similarity suggests that early-life social experiences may be crucial for the formation of neural and cognitive networks in humans.
A new study aims to promote better in-class engagement by tailoring resources to individual students' needs. The experimental group will use an adaptive learning platform, while the control group will access class materials through a traditional online learning management system.
A study found that people's choices between safe and risky options are influenced by their perception of an observer's opinion. After initial biases, participants learned to correctly predict their partners' choices and adjusted their behavior accordingly.
The study discovered stark differences in browsing habits between countries with more education and gender equality versus less equality, with those in equal countries engaging in a 'busybody' style of information-seeking characterized by jumping from topic to topic and collecting loosely connected information. In contrast, those in un...
A recent study published in Cell reveals that nearly one in six disease-causing mutations leads to proteins mislocalizing within the cell. The research team developed a high-throughput imaging platform to assess protein location and found that breakdowns in protein stability are a major driver of misplaced proteins.
Researchers at MIT have discovered additional brain pathways that modulate dopamine release, influencing movement and emotional decisions. The newly identified pathways appear to relay emotional information that helps shape motivation to take action.
Researchers developed a new memristive device capable of self-compliance, multilevel operation, and crossbar array formation for neural networks. The device demonstrated consistent switching characteristics and reliable multilevel operation with low power consumption, achieving high accuracy in image classification tasks.
A new study by Monash University researchers highlights essential factors for adapting Generative AI (GenAI) to support human learning in all levels of education and workplaces. The key considerations include understanding how to use GenAI to enhance human learning while fostering critical thinking and self-reflection skills.
Researchers at WVU have developed microwave technology to recover propylene from polypropylene waste, which can be reused in new plastics or products. The process uses precise control and lower temperatures than traditional methods, offering energy efficiency and reduced emissions.
Deep learning models used in remote sensing tasks are susceptible to various types of noise and attacks, compromising their performance. The study assesses the vulnerabilities of DL algorithms for object detection, revealing several weaknesses that can be leveraged by attackers.
A new virtual reality game has been developed to communicate scientific concepts to multilingual students, using visual, audio, and body movements. The study found that all students saw an improvement in their test scores, with multilingual students performing just as well as English-speaking peers.
The COP16 policy brief recommends implementing FAIR data principles to enhance biodiversity monitoring. This approach enables standardization of indicators, streamlined reporting, and improved global tracking.
A study by Soila Lemmetty at the University of Eastern Finland highlights inadequate pedagogical implementation of online training leading to certificates of completion rather than professional development. The study also notes erosion of trust and declining social bonds due to remote work, which weakens community and innovation.
A process yielding record-high performing transistors from solution-deposited semiconductors has been developed, despite higher defect concentrations in the material. The researchers' work enables large-area applications and efficient processing, paving the way for high-performance electronics.
Researchers identified key aspects of how neurons integrate information over seconds, a timescale consistent with behavior. They found that CaMKII is an instructive signal for this process, but does not define synapse specificity, revealing a broader time window for synaptic plasticity.
A new study of bubbles on electrode surfaces could help improve the efficiency of electrochemical processes by understanding how blocking effects work. The findings show that only a smaller area of direct contact is blocked from its electrochemical activity, not the entire surface shadowed by each bubble.
The publication of the Malleus maleficarum in 1487 played a crucial role in spreading persecution across Europe, with each new edition leading to an increase in witch trials. Social influence, particularly from neighboring cities, also contributed to the spread of witch-hunting practices.
The CityUHK team develops a new federated learning technology integrated with research knowledge graphs and large language models to digitally transform STI services. This will create a comprehensive, domain-specific knowledge base and provide intelligent assistant services for researchers.
The University of Houston-led project aims to provide training and resources for jobs in the new hydrogen economy, prioritizing underserved communities. The team will create a publicly available online toolkit to facilitate community engagement and equitable access to emerging jobs.
The American College of Chest Physicians has released a new clinical guideline on endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) specimen processing and handling to standardize the process. The guidelines aim to improve diagnostic yield and specimen preservation for downstream ancillary testing.
A new method called Clio allows robots to make task-relevant decisions by identifying the parts of a scene that matter. In real experiments, Clio successfully mapped scenes at different levels of granularity based on natural-language prompts and enabled robots to grasp objects of interest.
A new study shows participating in a citizens' panel can produce new policy ideas about school inclusion for young people with special educational needs/disabilities. The project also demonstrates how public dialogue processes can be modified to ensure young people at risk of marginalization fully participate.
A recent study published in PNAS Nexus found that widespread adoption of large language models like ChatGPT led to a significant decline in user activity on Stack Overflow. The study highlights the impact of ChatGPT on public knowledge sharing and its implications for AI's future.
A landmark study found specific types of brain cells fired in a way that mirrored the order and structure of a person's experience. The brain retains these unique firing patterns after the experience is concluded and can rapidly replay them while at rest.
A Virginia Tech research team has identified a molecular mechanism by which Shigella flexneri bacteria manipulate host molecules to ensure their survival. The study provides a new understanding of the infection pathway and its potential implications for preventing similar infections in other bacteria.
Pretend play is associated with enhanced cognitive abilities like executive function, language, and perspective-taking. Research suggests that play-based preschool curricula offer more significant long-term advantages in academic performance and students' attitudes towards school.
A recent review suggests that artificial intelligence can learn by thinking, similar to humans, through processes such as explanation, simulation, analogy, and reasoning. This finding has implications for understanding the similarities and differences between human and artificial cognition, and could lead to improvements in AI systems.
The Cancer Cooperative Group System is being re-engineered to bring new money to correlative science research through public-private partnerships, aiming to remove barriers for researchers to access biological samples. This will facilitate the integration of innovative science into cancer clinical trials.
Researchers at Purdue University have developed a patent-pending optical counterfeit detection method for chips called RAPTOR, which exceeds traditional methods by up to 40% in accuracy. The technology uses deep learning to identify tampering and has been validated through simulations.
A team of researchers discovered a class of materials that mimic the behavior of axons by spontaneously amplifying electrical pulses. These materials can harness internal instabilities to create spiking behavior and amplify signals, potentially leading to more efficient computing and artificial intelligence.
Neuroscientists have discovered a global process across the brain that coordinates sensory input with motor action through learning. In trained mice, neurons link sensory evidence to action initiation, integrating information across multiple brain regions.
Researchers at Weill Cornell Medicine have created a powerful interactive tool called Connecting Omics (COmics) to investigate the complex molecular make-up of humans. The study identifies associations between genetic characteristics, proteins, metabolic processes, and diseases, shedding light on different ways type 2 diabetes manifests.
A novel study found that delayed feedback improves learning outcomes for individuals with moderate-to-severe traumatic brain injury. Delayed feedback may engage brain regions associated with memory retrieval and confidence, bypassing impaired pathways. The study suggests a valuable tool for improving learning in TBI individuals.
Newly developed tools enable selective labeling and manipulation of synapses, advancing understanding of learning, memory, and neurological disorders. The review highlights promising molecular actuators and optogenetic approaches to unravel synaptic function mysteries.
New research from Hebrew University reveals that parents' understanding of their children's thoughts and feelings is crucial for providing effective emotional support. Parents who are good at mentalization can create a better homework environment, boosting children's independent learning and motivation.
Researchers at McGill University developed AI-guided feedback systems that outperformed human instructors in teaching neurosurgical skills. The study found that expert instruction alone led to poorer surgical learning outcomes, highlighting the potential of AI to enhance learner surgical skills acquisition.
A study of 500 participants from 11 countries reveals that suboptimal decisions are a universal human trait due to context influences. The researchers identified culture-specific risk preferences, with some nations exhibiting higher or lower risk-taking tendencies.
Researchers at Georgia Tech have discovered that music can influence our emotions and reshape old memories, potentially aiding in the treatment of mental health disorders. By listening to film soundtracks, participants were able to incorporate new emotions into their memories, which lasted even after the music was removed.
Researchers have found a new brain mechanism that detects prediction errors between expected and actual sensory inputs, boosting responses to unexpected information. This discovery could offer insights into the neural circuits underlying autism spectrum disorders (ASDs) and schizophrenia spectrum disorders (SSDs).
A new study reveals that non-cognitive skills, such as motivation and self-regulation, are crucial for academic achievement. The research found that genetic factors play a significant role in shaping these skills, which become increasingly influential throughout childhood.
The WVU team, led by Yu Gu, is testing Loopy's ability to 'co-design' itself and learn to mark contaminated areas. Inspired by natural phenomena like ant swarms and tree roots, Loopy changes form in response to its environment.
Researchers identify two key factors driving consumer participation in community-supported agriculture: the socio-cultural environment and weighing of expected gains against losses. These factors shape individuals' knowledge, attitudes, and decisions, highlighting the importance of considering lifestyles and values when promoting CSA.
A Cornell University study finds that sleep resets vital brain function by silencing certain parts of the hippocampus, allowing neurons to reset and enable new learning. This mechanism could lead to breakthroughs in boosting memory and erasing negative memories in conditions like Alzheimer's disease and PTSD.
Researchers developed a new two-photon fluorescence microscope that captures high-speed images of neural activity at cellular resolution, providing insights into brain function and neurological diseases. The microscope uses an adaptive sampling scheme to image neurons in real time, reducing damage to brain tissue.
A roundtable discussion explores the integration of positive psychology and autism, highlighting its potential to amplify strengths and improve interpersonal dynamics. The study suggests that appreciating character strengths can have a significant impact on daily life.
Researchers identify neural basis for abstraction and inference processes in the human brain, showing coordinated brain cell activity represents learned knowledge. The study used artificial intelligence to extract relevant responses from thousands of brain cells.
A new Diffusion-based Graph Contrastive Learning (DGCL) method constructs brain networks with unique features, capturing key connections and eliminating redundant ones. DGCL outperforms existing tools in terms of efficiency and prediction accuracy for brain disease analysis.
A WVU biologist is studying how genes establish animal body plans and contribute to regenerative abilities. He has identified Hox genes as key players in planarian regeneration, suggesting their functions may differ in highly regenerative versus poorly regenerative organisms.
A study published in Neuron reveals that neurons are wired to connect seemingly unrelated concepts, enhancing the brain's ability to predict what we see based on past experiences. Visual experience influences the organisation of feedback projections, which store information about the world.
Researchers at University of Bath and Technical University of Darmstadt found that large language models like ChatGPT cannot learn independently or acquire new skills, making them controllable and predictable. The study concluded that LLMs remain inherently safe, but misuse is still possible.
Researchers found that babies form strong expectations for a robot's responses within 10 minutes of interaction. The study suggests that contingency, or caregivers' timely reactions, is key to foundational learning in early development.
A team of researchers from Penn State has identified HDAC3 as a key contributor to age-related impairments in memory updating. When blocked, older mice performed similarly to their younger counterparts, suggesting potential therapeutic targets for improving cognitive flexibility in old age.
A study examines how a firm's unique focus impacts performance and discovers an inverted U-shaped relationship between attentional uniqueness and firm performance. Firms achieve optimal growth by balancing their unique perspective, while ignoring competitors' focus can lead to missed opportunities.
Researchers developed a novel clustering technique that considers both basic characteristics and target material properties, enabling the categorization of over 1,000 oxides into material groups. This approach uses machine learning to predict target properties and incorporates basic feature information into the analysis.
Researchers developed an AI model called GROVER that treats human DNA as a text, learning its rules and context to draw functional information about the DNA sequences. The tool has the potential to unlock the genetic code and advance personalized medicine.
The study reveals that eye-tracking technology can help identify difficulties in mathematical problem-solving, allowing teachers to suggest effective teaching methods. By analyzing data on student gaze patterns and attention shifts, educators can personalize the learning process and improve academic achievements.
Researchers at FAMU-FSU College of Engineering have developed an AI-powered tool to train surgeons by analyzing video of their surgical technique and providing feedback. The system uses deep learning models to evaluate surgical skills effectively, offering real-time feedback for aspiring surgeons.
Researchers at Pohang University of Science & Technology have developed a novel analog hardware using ECRAM devices that maximizes AI computational performance. Their technique, which uses a three-terminal structure with separate paths for reading and writing data, demonstrates excellent electrical and switching characteristics.