Articles tagged with Cybernetics
A WVU study found that ChatGPT-5 Pro can generate realistic psychiatry vignettes with strong diagnostic details but emphasizes the need for human-centered approach to ensure patient safety. The researchers recommend incorporating these vignettes into digital psychiatry curricula with faculty moderation and safeguards.
Research reveals that digital romances can mimic human stages, including exploration, emotional connection, break-ups, and even simulated weddings and pregnancies. Participants shared intimate details and attributed autonomy to their AI partners, raising concerns about privacy and data protection.
Scientists from NTU Singapore and Waseda University have developed a flexible 'diving suit' for cyborg cockroaches, allowing them to survive and move underwater for up to three hours. The suit generates oxygen and delivers it directly to the insect's breathing holes, enabling them to thrive in low-oxygen environments.
Avishek Choudhury, a WVU researcher, has won the NSF CAREER award to study how healthcare providers' trust in artificial intelligence changes over time. His goal is to humanize algorithms behind AI and improve decision-making quality and patient safety.
Researchers propose embedding AI foundation models into control software to enable robot swarms to achieve new levels of autonomy and adaptability. This enables robots to switch between tasks in real-time and interact more naturally with humans.
New research from West Virginia University finds that judges are adopting generative artificial intelligence in courtrooms, but remain committed to human control over judicial decision-making. Judges use AI for administrative tasks like document summarization and case organization, but prioritize legal reasoning and final judgment.
Researchers developed AI models that can identify signs of heart failure in patients from Appalachia using low-tech electrocardiogram results. The models achieved high accuracy and could potentially provide clinicians with an edge in protecting patients' cardiac health.
A technology expert predicts AI-based medicine will revolutionise care for Alzheimer’s and diabetes, but access must be made available to all patients. The author highlights key innovations such as diagnostic imaging and surgical robots that will aid in more accurate diagnoses and treatments.
The new book highlights the transformative role of artificial intelligence (AI) and machine learning (ML) across various domains, including mechatronics, cybersecurity, digital health, and automation. Readers will gain practical insights into AI-based techniques in power systems, social media management, and healthcare diagnostics.
Researchers at NTU Singapore have developed an AI-powered robotic system to assemble cyborg insects for search and rescue efforts, significantly reducing preparation time and human error. The automated system can attach electronic backpacks to Madagascar hissing cockroaches in under 8 minutes, about 30 times quicker than manual methods.
Dr. Deanna Kaplan's innovative voice-capture app, Fabla, captures unstructured voice narratives to study how clinical interventions influence daily life. The platform has found applications across diverse health domains, including veteran experiences and healthcare provider burnout.
Researchers found that artificial intelligence tools can accurately predict disease for patients with typical symptoms but struggle with those exhibiting atypical symptoms. Human oversight is necessary for high-quality patient-centered care when using AI as an assistive tool.
Researchers developed a novel vote-based model for accurate hand-held object pose estimation, addressing issues with existing approaches. The new framework achieves significant improvements in accuracy and robustness, enabling robots to handle complex objects and advancing AR technologies.
The robot can switch between physical space and cyberspace modes using bioelectrical signals and gaze information, managing arm hand systems and IoT devices with high success rate. This technology aims to reduce nursing care costs and medical expenses by enhancing independence.
Researchers created cyborg insects with sensors and electronic circuits to aid in disaster relief and navigation. The insects demonstrated ability to overcome obstacles in complex environments, achieving objectives with less effort than purely mechanical robots.
A study at the University of Tsukuba reveals that sharing biosignals can augment the sense of social presence in online interactions. The researchers tested a real-time platform in gaming sessions, finding that combining bio-information and face video enhanced feelings of connection.
A study by Dr. Shunichi Kasahara found that levels of identification with one's face remain consistent regardless of agency or control over facial movements. The results suggest that a sense of agency does not significantly impact our ability to judge our facial identity, even in scenarios like deepfakes.
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.
Researchers propose using coordinated multi-swarm drones to quell forest fires, leveraging AI-enabled fire detection and autonomous decision-making. The approach could lead to more efficient fire suppression and reduced response times.
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.
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.
Researchers from Osaka University developed a biomimetic robot that uses dynamic instability to navigate uneven terrain. The robot can switch between straight and curved walking motions, making it suitable for search and rescue operations or planetary exploration.
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.
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.
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.
The COgITOR project aims to develop an initial prototype for an autonomous liquid cybernetic system that can be used as an intelligent, active probe in extreme areas. The system will be composed of concentric spheres containing solvents enriched with nanoparticles and a silicon chip in the centre.
Researchers studied maritime networks to understand how their organization impacts international trade and economy. They applied methods from brain network analysis to reveal new insights into modular connectivity and structural core organization in complex networks.
Chronic job insecurity has been shown to alter a person's personality over time, particularly in regards to emotional stability and agreeableness. Researchers found that those exposed to job insecurity for over four years became less conscientious as well.
Researchers explore how arts and sciences collaboration can lead to increased discovery and innovation. A study found that patent production is correlated with metal- and wood-working practices among STEM professionals.
Researchers at Max Planck Institute found that rats move their eyes in opposite directions, allowing them to maintain a constant binocular field and detect potential threats. This adaptation is thought to increase their chances of survival against birds and other predators.
Researchers created visual illusions to stimulate nerve cells in the visual cortex, revealing their role in estimating 3D shape. The study found that the brain uses complex cells to measure local orientation of patterns in the retinal image.
Research shows that pianists can accurately assess temporal synchrony between piano movements and sounds, while non-musicians struggle. The study suggests that music training refines brain circuitries responsible for integrating multiple sensory stimuli.
A new study in the Journal of Consumer Research introduces a model capturing the process of goal revision. Consumers tend to set and revise goals, with adjustments influenced by factors such as motivation, external pressures, and previous achievements.
Scientists found that brain's estimate of gravity direction biases perception of object stability, with better judgments when upright than on side. The study has implications for existing theories of human perception and suggests integrating multisensory information.
Researchers found that people tend to walk in circles when lost due to lack of directional references, leading to accumulation of sensorimotor system noise. In controlled tests, blindfolded participants walked small circles, highlighting the role of internal navigation errors.
Researchers developed a technique to record brain activity using BOLD signal while applying electrical microstimulation to the primate brain. The study found that activity patterns are larger than expected, reflecting functional spread via horizontal connections.
The CyberWalk project aims to create a fully immersive virtual environment that allows people to walk freely without restrictions. This will enable researchers to study human behavior patterns under controlled conditions. The platform, called the CyberCarpet, features thousands of pivoted spheres propelled by a treadmill.
Researchers found that single neurons in a brain region reacted to specific features, conveying detailed information about the diagnostic features of categories. The monkeys' brains used these learned features to recognize matching faces, demonstrating how neural training sharpens perception and enables the brain to encode and interpre...
Researchers at Penn State have developed a new link design for wireless infrared local area networks that uses a multi-beam transmitter with a narrow field of view receiver. The system achieves a bit-error rate of one error per billion bits and uses milliwatt transmitted power levels.