Articles tagged with Learning Processes
Researchers identify key brain signals prediction error and expected value to predict recovery potential in depression. They found unique brain activity patterns that could inform tailored therapy strategies, targeting specific symptoms of depression.
A study by Professor Jan Peters at the University of Cologne explores how virtual slot machines' design features trigger dopaminergic effects in the brain's reward system, leading to erroneous beliefs and expectations about control over outcomes and chances of winning. This can lead to continued gambling despite high losses.
The new model, based on a PV-RNN framework, achieves compositionality by combining language with vision, proprioception, working memory, and attention. It requires less computing power than large language models (LLMs) and makes mistakes similar to humans.
The study proposes a 'school within a school' approach to enable small changes that can affect entire systems. Researchers highlight the need for transformational changes to better prepare students for the age of Artificial Intelligence.
A breakthrough study reveals a critical pathway linking synaptic activity to gene expression changes necessary for learning and memory. Researchers identified the activation of receptors and ion channels generating calcium signals that rapidly communicate from synapses to the nucleus.
The KAIST team developed a next-generation neuromorphic semiconductor-based integrated system that can learn and correct errors on its own. This technology will revolutionize AI use in everyday devices, making them faster, more private and energy-efficient.
Researchers at University of Birmingham have discovered three new protein biomarkers TFF3, LCN2, and CEACAM5 that show strong predictive potential for colorectal cancer. These biomarkers are linked to cell adhesion and inflammation, processes closely associated with cancer development.
Researchers found that capuchin monkeys in Brazil's Serra da Capivara National Park learn from each other's actions and that social tolerance is crucial for this process. The study showed that partners in collective activities, such as searching for parasites and playing games, are more likely to learn new skills from their companions.
A new 6D pose dataset has been introduced, providing high-quality RGB and depth images with annotated 6D pose data. This dataset achieves state-of-the-art accuracy rates of 97.05% and 98.09% for robotic grasping and automation applications.
Researchers introduced a novel approach to enhance reservoir computing, incorporating a generalized readout that offers improved accuracy and robustness compared to conventional methods. The new method uses a nonlinear combination of reservoir variables to uncover deeper patterns in input data.
Researchers developed an AI-powered technology that transforms low-resolution, label-free images into high-resolution, virtually stained ones without fluorescent dyes. This innovation delivers stable and accurate cell visualization, overcoming limitations of traditional imaging methods.
Researchers have uncovered clay tablets with ancient cuneiform writing, game boards, and large structural remains at the ancient Mesopotamian site of Kurd Qaburstan in Iraq. The study sheds new light on literacy, urban development, and social inequality in this Middle Bronze Age city.
Mayo Clinic's Digital Pathology platform is transforming pathology by leveraging large datasets and AI models for faster, more accurate diagnoses. The partnership with NVIDIA and Aignostics aims to improve patient care and accelerate medical breakthroughs.
The 2025 AAAS Annual Meeting in Boston will feature expert discussions on trust in science and science diplomacy. Researchers such as Holden Thorp and Ruth Morgan will examine how to demonstrate trustworthiness and put a new framework into practice.
Developing neurons rely on multiple signaling pathways to migrate from the germinal zone. An antagonistic circuit between Netrin-1 'pushing' and Siah2 'pulling' ensures proper cerebellum development by balancing adhesion and guidance cues.
The ISS National Lab is soliciting flight concepts for technology advancement using the space-based environment of the International Space Station. The lab aims to develop and test products and processes with potential economic impact through this $650,000 funding opportunity.
A new method called Annotatability helps identify mismatches in cell annotations and better characterizes biological data structures. This approach enables more precise downstream analysis of biological signals, capturing cellular communities associated with target signals.
The NSF is seeking proposals for research on transport phenomena and fluid dynamics in space, leveraging the ISS National Lab's microgravity environment. Selected projects will receive funding to advance fundamental and translational research benefiting humanity.
A study published in Nature found that new memories are replayed and consolidated when the pupil contracts during non-REM sleep, while older memories are replayed when the pupil dilates. This micro-structure separates new learning from old knowledge, preventing 'catastrophic forgetting'.
Researchers at U of T have created SIMPL2, a platform that simplifies detection and improves accuracy of protein-protein interactions. The tool enables the rapid identification of protein interactions, including weak ones, for targeted drug therapies.
D-Glue, an eco-friendly adhesive designed to break apart at lower temperatures, will partner with Plug and Play Japan's Deeptech Program. The debondable glue aims to reduce landfill waste and energy consumption, with the potential to expand production on a mass scale.
Researchers at Waseda University found that somatosensory electrical stimulation on the wrist can bias subsequent motor decisions, increasing the likelihood of using the stimulated hand. This phenomenon highlights a connection between sensory input and motor choices, with potential implications for individuals with motor impairments.
A new report outlines best practices and standards for human body donation programs in the US, emphasizing the importance of informed consent and oversight. The guidelines aim to uphold donor dignity and maintain highest ethical standards.
Researchers at KAIST developed a new method to learn without weight transport, enabling faster and more accurate learning. By pre-training with random noise, the team showed that neural networks can achieve high learning efficiency and solve the weight transport problem.
Researchers found that babies' first vocalizations and attempts at forming words coincide with fluctuations in their heart rate. This discovery may indicate that successful speech development depends on predictable ranges of autonomic activity during infancy.
Researchers developed a new benchmark for health care using reinforcement learning, which shows promise in managing chronic or psychiatric diseases. However, current methods are data-hungry and fail to perform accurately when tested on real-world data.
A new study sheds light on how age-related changes affect financial skills, finding that verbal representations and language processing play a crucial role. Individuals with better language skills and higher household income are more likely to excel in financial tasks.
An education expert proposes a paradigm shift to a 'school within a school' model, giving students leadership over education on a small scale. This approach aims to provide transformative changes by focusing on less prescribed curriculum and more student autonomy.
Researchers at MUSC discover an RNA:DNA 'sandwich' plays a key role in how the brain interprets emotional experiences and brings about behavioral adaptations. The discovery could lead to better RNA therapies for treating brain disorders.
The AstroRad vest employs high-density polymers to shield vital organs from radiation exposure, addressing cancer and radiation sickness risks. The wearable technology has undergone extensive testing through the ISS National Lab, leading to significant enhancements in its design and functionality.
A recent study by ESMT Berlin scholars presents a comprehensive framework detailing the impact of AI on open innovation. The framework highlights three key ways in which AI is transforming open innovation practices: enhancing existing methods through efficiency and scalability, enabling new forms of collaboration and business models, a...
Researchers use real-time neuroimaging and neurofeedback to modify brain activity patterns, enabling faster learning and treatment of psychiatric disorders. The study demonstrates the ability to inscribe new patterns into the brain without physical manipulation.
Researchers at Pusan National University developed a hybrid model to predict metal wear in magnesium alloys, enabling safer, lighter designs. The model combines machine learning and physics to improve fatigue life prediction, offering greater predictive reliability for enhanced safety and longevity.
A USC study reveals that forming social ties relies on learning from positive outcomes, such as rewards, and tracking relational value. The findings help explain why we are drawn to certain people and how we navigate relationships, with implications for mental health and social behavior.
Researchers found that weakly spatial cells gradually correlate their activity with other neurons to form a mental map, stitching together individual locations. Sleep aids in this process, refining neural network activity and consolidating memories.
A new multi-target quantum compilation algorithm developed by Tohoku University's Dr. Le Bin Ho improves the flexibility and performance of quantum computers. This allows for efficient handling of complex systems and tasks involving multiple variables in quantum machine learning.
A study by Tulane University researchers found that tumors in female fruit flies grew 2.5 times larger than those in male fruit flies due to sex-based differences in immune response. The stronger innate immune response in females accelerated tumor growth.
Research by UCL experts found that online training can improve speech intelligibility for both older and younger adults, with a 30% improvement in understanding sentences spoken by new voices. The study suggests that practicing listening to regularly encountered voices could enhance everyday communication.
The RATE-XR guideline standardizes reporting for early-phase clinical studies involving extended reality technologies, ensuring transparency, safety, and ethical reporting. Developed through a multidisciplinary team of international experts, the comprehensive framework fosters reproducibility and patient-centeredness.
A study by SWPS University researchers challenges prevailing myths about older adults' decision-making abilities. Older adults demonstrate an inherent ability to resist manipulation effectively and make complex decisions as younger people, contrary to previous studies suggesting they are risk-averse.
Researchers found that desert ants rely on the polarity of the geomagnetic field to navigate during learning walks, contradicting previous findings in other insects. The team manipulated magnetic fields and observed the ants' behavior, concluding that a compass-like navigation system is useful for short-distance navigation.
A USC-led study found that neurogenesis in adults supports verbal learning and memory, enabling people to have conversations. The discovery could lead to new approaches to restore cognitive function in patients with epilepsy and other conditions.
The Center for Marine Autonomy and Robotics develops advanced underwater robots and autonomy algorithms, enabling intelligent operation without human oversight. The research team has received $7.4 million in grants to continue their mission, advancing unconventional marine platforms and enhancing AUV capabilities.
Researchers at UCSF found a brain signature of resilience in mice that suggests a new way to treat severe depression. Stress changes activity in the amygdala, distinguishing resilient from less resilient mice. By stimulating neurons, the team improved decision-making and reduced ruminating in less resilient mice.
A $13 million initiative led by PNNL has created an AI-ready searchable database of 28,212 documents, reducing the time to conduct environmental reviews from 2-4 years to minutes. The PolicyAI toolkit is currently beta testing with federal NEPA reviewers, aiming to deliver time and cost savings.
A new OHSU study reveals that the human ability to conceptualize numbers is rooted deep within the brain, specifically in the putamen region. This finding has significant implications for improving learning among math-challenged individuals and for neurosurgical interventions.
Scientists at MIT developed a fully integrated photonic processor that can perform all key computations of a deep neural network optically on the chip. The device completed machine-learning classification tasks in under half a nanosecond while achieving over 92% accuracy, similar to traditional hardware.
Researchers developed a framework to guide failed entrepreneurs on how to start again and predict their likely outcome. The study analyzed 180 publications on entrepreneurial failure, highlighting the importance of reflection, coping mechanisms, and a positive attitude towards failure.
Researchers at Max Planck Institute developed a new, efficient metabolic pathway to convert acetyl-CoA into pyruvate, enabling effective CO2 utilization. The 'lactyl-CoA mutase' enzyme can produce valuable products like 3-hydroxypropionate for sustainable plastics.
Researchers at Universität Leipzig focus on two-state systems, known as qubits, to improve conceptual understanding in learners. The study shows that teaching concepts based on two-state systems are more conducive to learning than traditional approaches.
A new study reveals that concussions impact aperiodic brain activity in high school football players, leading to slowed cognitive function and worse post-concussion symptoms. The research highlights the importance of protective measures in contact sports and may lead to new treatments for concussion recovery.
NCSA launches Harbor, a fast storage service for global home and software directories, boosting Delta system performance by 400%. Consolidating file systems to VAST namespace improved uptime, load times, and user experience. With Harbor and VAST Data Platform, NCSA achieves scalable and efficient AI infrastructure.
A recent study from Stanford University reveals that dopamine and serotonin work together, but also in opposition, to shape behavior. Researchers found that dopamine signals increase with reward prediction while serotonin signals decrease, but only when both systems are active can animals learn to link cues with rewards.
Researchers suggest that starting with smaller neural networks and using curriculum learning can improve performance and reduce the need for massive computing resources. This approach could lead to more resource-efficient and less energy-consuming AI systems.
Researchers used computer simulations to explore the concept of learning in cells, finding a requirement for 'timescale separation' and potential 'memory' mechanisms. The study could deepen our understanding of how learning and memory operate at the most basic level of life.
Researchers have trained AI models to distinguish brain tumors from healthy tissue using convolutional neural networks and transfer learning. The models achieved an average accuracy of 85.99% at detecting brain cancer, with the ability to generate images showing specific areas in its tumor-positive or negative classification.
A brain-based condition causing vision problems in children has been defined by a NIH-led team. The five elements of cerebral (or cortical) visual impairment (CVI) include difficulty visually searching for objects or understanding complex motion.
BrookieKids, a local education tech startup, has launched an AI-powered digital library featuring over 50 Mandarin voice-interactive stories. The platform uses speech AI to guide conversations and boost conversational skills in a fun and interactive way.
Greg Liu has developed a revolutionary way to convert certain plastics into soaps, detergents, lubricants, and other products through thermolysis. The process breaks down polypropylene and polyethylene molecules into chemical compounds, leaving minimal residual solids and usable oil.
A new study reveals that children often begin with holistic learning, identifying whole phrases before breaking them down into parts. This approach challenges the traditional view that language is acquired by assembling smaller parts into larger structures.