Articles tagged with Intelligence
Researchers at Cornell University have developed a new system of fluid-driven actuators that enable soft robots to achieve more complex motions. The team's design allows for antagonistic motions and predicts the actuator's possible motions with a single fluid input, resulting in an actuator that can achieve far more complex movements.
A new study has mapped the parts of the brain that support fluid intelligence, a key feature of human cognition. The research found that patients with damage to the right frontal regions performed poorly in tasks requiring problem-solving and reasoning.
Neuroscientists have uncovered a brain circuit that enables mice to rapidly escape to shelter when faced with a threat. The retrosplenial cortex and superior colliculus form a circuit that encodes the direction to a shelter, allowing mice to accurately orient and escape.
Researchers have discovered a non-biological material that mimics learning behavior through electrical stimuli, enabling a new generation of supercomputers with AI capabilities. The discovery could overcome the stability-plasticity dilemma in AI development, allowing for more efficient and adaptable computing systems.
A new study from the University of Ottawa reveals that morning types tend to have superior verbal ability, contrary to previous research suggesting that evening types have an advantage. The study found that accounting for factors like bedtime and age, morning individuals outperformed their evening counterparts in verbal intelligence.
A study found that Eurasian jays with greater self-control can pass a version of the 'marshmallow test' and score higher on intelligence tests. The researchers believe that this self-control may have evolved as a result of the birds' need to delay gratification in order to plan for future meals.
Researchers successfully taught human and mouse neurons to play the video game Pong in real-time, showcasing their ability to exhibit sentience and adapt to a changing environment. The study's findings have potential applications in disease modeling, drug discoveries, and expanding our understanding of brain function.
Researchers developed an AI-based tool to calculate harmful effects of medicines, reducing risks of confusion, blurred vision, and falls. The International Anticholinergic Cognitive Burden Tool (IACT) provides a more accurate scoring system, supporting personalized medicine approaches.
A recent ECU study discovered that tRNS can enhance neuroplasticity, allowing the brain to form new pathways and connections. This technology has shown promise as a tool to assist individuals with learning difficulties or neurological conditions.
Researchers from Trinity College Dublin have proposed three guiding principles for improving AI, inspired by infant learning. The new approach aims to enhance machine learning with in-built preferences and developmental trajectories, using richer datasets that capture multiple senses.
A joint UC Riverside and UC Irvine study found that people who show near transfer in brain training are more likely to experience far transfer, meaning improved focus and problem-solving skills. The research suggests that working memory training can be effective for certain individuals, but its impact on fluid intelligence remains deba...
Researchers at UCLA, MIT and NIH found that AI systems can mimic human understanding of words by relating their meanings through co-occurrence. The study developed a technique called 'semantic projection' to analyze the system's knowledge and found it to be more intuitive than expected.
Researchers from Martin Luther University Halle-Wittenberg found that people with the Impostor Phenomenon devalue their objectively measured performance and attribute positive results to external causes. The study showed no relation between actual intelligence or performance and self-reported degree of Impostor Phenomenon.
A team from Nagoya University created an artificial neural network model that performed the delayed matching-to-sample task and analyzed its behavior. The model was able to evolve to exhibit human-like metamemory, adapting to its environment by learning and evolving. This breakthrough aims to create machines with memories like humans.
A study led by Max Planck researchers found that parrots with large relative brain sizes have longer lifespans, averaging up to 30 years. This suggests that increased cognitive ability may help parrots navigate threats and enjoy longer lives.
Researchers at the University of Cambridge found that people with dementia have difficulty responding to unexpected situations, which is a symptom seen across every type of dementia. The study used magnetoencephalography to analyze brain activity in patients and healthy controls while listening to changing sounds.
Researchers propose that cognitive activity operating on a planetary scale is necessary to tackle global issues. A mature technosphere involves integrating technological systems with Earth through feedback loops, making it self-maintaining and exhibiting emergent behavior.
A new study found that individuals with higher intelligence scores have brains that are better adapted to switch between different cognitive states. The researchers used fMRI scans to monitor brain activity in over 800 adults while they completed various tasks, and found that the brains of highly intelligent people required fewer adjus...
A study published in Science Advances reveals that individuals with less memory loss in old age tend to gain more knowledge, contrary to the previously assumed compensatory power of crystallized abilities. The findings suggest a strong dependency between changes in fluid and crystallized abilities.
Research suggests US hostility towards Chinese Communists in the early years of the Cold War was driven by President Truman's nationalist beliefs. The study found that Truman's view of China as a 'colony' led to economic and military support for local warlords, resulting in covert operations against the CCP.
A long-term study found that academic education can positively affect aging of the brain, with reduced degenerative processes and improved cognitive performance. Participants with an academic background showed a lower increase in signs of brain degeneration and faster processing speeds.
Bielefeld University researcher Yaochu Jin is working on developing artificial intelligence that mimics nature's principles to tackle complex problems. His research aims to create more flexible AI systems that can adapt to uncertainty and fuzziness, with potential applications in healthcare and other fields.
Researchers developed EDS-HAT, an AI-powered system combining machine learning and whole genome sequencing to detect clusters of similar infections in real-time. The system identified 99 clusters of infections and prevented potential transmissions in 65.7% of cases, saving the hospital $692,500.
Convolutional neural networks trained to identify abnormalities on upper extremity radiographs are susceptible to a ubiquitous confounding image feature: radiograph labels. Covering these labels increases accuracy, while using them alone leads to decreased performance.
Researchers use physical reservoir computing to teach robots to think like humans by simulating brain signals. The system enables goal-directed behavior without additional learning, highlighting a potential breakthrough in AI development.
A new study reveals that some gifted dogs can learn up to 12 new toy names in just one week and remember them for at least two months. The researchers tested these talented dogs as part of the Genius Dog Challenge, a series of live broadcasted experiments.
A study of over 200 Turkish schoolchildren found that general intelligence was highly correlated with humor, with children producing high-quality captions for cartoons. The researchers suggest that parents and teachers should be aware of their children's sense of humor as a potential indicator of exceptional intelligence.
Researchers develop crowd-assisted deep learning system to analyze disasters, integrating human intelligence with AI models for better results. The project aims to improve AI's interpretability and accuracy in disaster assessment applications.
Researchers are developing a stroke rehabilitation robot using brain-inspired intelligent technology to improve outcomes for patients. The robot will analyze movement intentions and respond with precision, aiming to recognize eight hand movements with an accuracy rate of 90% and response time of 300ms within five years.
Researchers have developed intelligent, battery-less sensors that can precisely monitor district heating grids and provide valuable knowledge for optimized operation. The sensors will enable plants to optimize pipeline grid efficiency and reduce heat loss.
Researchers propose integrating photonic components with superconducting electronics to enable artificial cognitive systems of scale and functionality. This approach may be easier at low temperatures using superconductors than at room temperatures using semiconductors.
A new study advances the discipline of avatar-based marketing by identifying key elements of effective avatar design. The research reveals that form and behavioral realism must be aligned for avatars to be effective in achieving specific goals, with four distinct categories of avatars identified.
In a recent study, researchers showed that the ability to use social information can depend on an individual's cognitive skills. Female collared flycatchers who mastered a learning task faster were more likely to copy the nest site choices of great and blue tits.
The hexxed app, a mobile game, helps researchers compare human vs machine problem-solving strategies. Players must figure out rules on the fly, resembling AI's approach, allowing scientists to create a benchmark for human intelligence.
A new report emphasizes the need for interdisciplinary approaches to develop safer autonomous systems, engaging experts from humanities, social sciences, and engineering. The report recommends creating a network of institutes to share ideas and concerns, ultimately developing a regulatory framework.
Researchers Mirko Kovac and Aslan Miriyev propose merging artificial intelligence with physical bodies to create lifelike robots. By combining materials science, biology, and computer science, they aim to achieve symbiosis between humans and machines.
Researchers propose a new approach to create lifelike robots by integrating materials science, mechanical engineering, computer science, biology and chemistry. This Physical AI can help humans in tasks that are dangerous or impossible for them, such as medicine and security.
A new study by University of Leicester neuroscientists argues that the way humans store memories is key to our superior intelligence. Contrary to long-held beliefs, the same group of neurons stores all memories, enabling abstract thinking and cognitive abilities unique to humans.
A study by MIT and Max Planck Institute found that people perceive AI as creative genius or tool depending on information presented. The researchers manipulated language to change degree of humanization, influencing recognition and responsibility assigned to humans behind AI systems.
Researchers developed a new model that describes driving behavior based on a 'human' principle: managing risk below a threshold level. The model can accurately predict human behavior in various driving tasks and may be used in intelligent cars to reduce their 'robotic' feel.
A research team from the German Primate Center found that lemurs' average cognitive performance in tests was not fundamentally different from other primate species. Despite smaller brains, lemurs showed domain-specific cognitive skills similar to those of monkeys and great apes.
Researchers at RMIT University have developed electronic artificial skin that senses pain instantly, mimicking the body's near-instant feedback response. The prototype device combines three technologies to deliver key features of the skin's sensing capability in electronic form.
A study by UC Davis researchers suggests that people's ideal partner preferences do not reflect any unique personal insight. Participants who listed their top three attributes in an ideal partner showed increased romantic desire for others who possessed those same attributes, regardless of whether they were acquaintances or strangers.
A new review examines two decades of research on how people develop trust in AI, finding representation, capabilities, and anthropomorphism play key roles. The study proposes a framework to guide organizations integrating AI into work.
Researchers at Otto-von-Guericke-Universität Magdeburg are using brain research methods to analyze artificial neural networks and improve explainable AI. The Cognitive neuroscience inspired techniques project aims to understand the internal processes of ANNs and identify malfunctions.
A team of researchers led by Carnegie Mellon University aims to create AI agents that can infer human thoughts based on behavior. They plan to test these socially intelligent agents in a search-and-rescue scenario within Minecraft to understand what humans are thinking.
Researchers at KAIST discovered a computational and neural mechanism for human meta reinforcement learning, enabling the porting of key human intelligence elements into AI algorithms. The study highlights how humans adapt to complexity and uncertainty in decision-making.
Researchers at the University of Liège developed a novel algorithm based on neuromodulation, enabling intelligent agents to efficiently solve new tasks. The innovative architecture was successfully tested on navigation problems with variable wind directions, showcasing its potential for multi-tasking applications.
A Spanish neuropsychologist used an artificial neural network to analyze how humans and machines recognize planetary images, revealing that AI can detect shapes that humans miss and vice versa. The results have implications for the search for extraterrestrial life and highlight the need for caution in AI's implementation.
Researchers at Cornell University discovered that wasps can recognize individual faces, a rare ability among insects. This finding sheds light on how intelligence evolves and has implications for other species, including humans.
Researchers from UMA developed a method using deep learning to increase brain image quality and detection of pathologies with increased accuracy. This breakthrough technique enables specialists to identify brain-related disorders more accurately and definitionally, reducing the need for additional tests.
A comprehensive meta-analysis of over 160 studies involving 42,000 students from 27 countries reveals that emotionally intelligent students tend to achieve better academic performance. Higher emotional intelligence is linked to improved grades, achievement test scores, and social relationships with teachers, peers, and family.
Researchers at the Data Science Institute, Columbia, are designing intelligent headphones that detect sounds of approaching vehicles and send audio alerts to pedestrians. The system aims to counter growing public safety concerns caused by twalking, which has tripled in US injuries and deaths over seven years.
Researchers found that specific brain structures, including the parahippocampal cortex and caudate nucleus, are linked to improved fluid intelligence in individuals. These brain attributes distinguish people who benefit from targeted training from those who do not.
A Michigan State University study found that intelligence was the strongest predictor of skill acquisition in beginner pianists, followed by music aptitude. In contrast, growth mindset had little impact on piano performance.
A recent brain imaging study found that more intelligent individuals have temporally more stable interactions in neural networks. The results suggest that processes of controlled attention may play an important role for general intelligence.
The study demonstrates the evolution of associative learning in an artificial organism without a brain, allowing it to navigate complex environments and adapt to changing signals. This breakthrough has huge implications for developing robots that can learn from experiences as effectively as humans do.
A study published in Frontiers in Psychology found that children born by cesarean section had lower intellectual levels and cognitive development compared to those born vaginally. The research analyzed data from 160 twins and suggests that vaginal delivery may have benefits for psychological development.
A new Northwestern University analysis reveals that women's perceived competence has increased relative to men's, consistent with their growing participation in the labor force and education. However, women are still seen as less ambitious and decisive than men, a disadvantage in relation to leadership.
A new algorithm called DeeProtein uses sensitivity analysis to unravel the secret of its predictions, providing valuable insights into protein functions. This technique enables researchers to identify critical regions in proteins that tolerate changes well or poorly, paving the way for targeted modifications.