Articles tagged with Artificial Intelligence
Researchers combined robotics data from different sources using generative AI models to train better multipurpose robots. The approach, known as Policy Composition (PoCo), enables a robot to perform multiple tool-use tasks and adapt to new tasks in unfamiliar environments.
The Luxembourg Institute of Science and Technology is developing affordable gas sensors for environmental monitoring and occupational safety. The €8 million AMUSENS project aims to create portable, cost-effective sensors using nanotechnology and artificial intelligence.
Researchers from Osaka University developed a mobile mixed reality (MR) system for intuitive flooding forecasts, allowing urban populations to view dynamic flood forecasts on their mobile devices. The system enables widespread participation in MR visualizations, improving community preparedness and response.
Scientists at TIBI employed AI to enhance the design and production of nanofibers used in acoustic energy harvesters, resulting in higher power density and energy conversion efficiency. The AI-generated nanofibers produced better performance than conventionally fabricated devices.
A novel approach to training AI systems uses information about spatial position to identify objects and navigate surroundings, inspired by children's visual development. The method improves contrastive learning models' effectiveness by incorporating simulated spatial context information, outperforming base models in various tasks.
Researchers at Texas A&M University are investigating the historical effects of strain on shape-memory alloys to improve predictive capabilities. They will use a synergistic experimental and numerical approach to understand and predict history effects in these alloys, with potential applications in heart stents and airplane wing flaps.
A new study from Chalmers University of Technology shows that AI-controlled charging stations can offer personalized prices to electric vehicle users, minimizing both price and waiting time. However, the researchers highlight the importance of addressing ethical issues related to data exploitation by motorists.
Researchers at George Mason University used artificial intelligence to analyze data from over 3.6 million patients and create personalized antidepressant recommendations. The free website MeAgainMeds.com provides evidence-based guidance for clinicians and patients, enabling faster symptom relief and reduced medication trial time.
A team of researchers from Japan, China, and Finland created a system called generative content replacement (GCR) that uses AI to replace parts of images that might threaten confidentiality with visually similar but AI-generated alternatives. In tests, 60% of viewers couldn't tell which images had been altered.
Researchers have developed a system combining bio-inspired cameras with AI to quickly detect obstacles around cars, using less computational power. The hybrid system detects objects up to one hundred times faster than current systems while reducing data transmission and processing needs.
A new Curtin University research study found that taking pictures of food can be an accurate way to track dietary intake. The study used the mobile Food Record app, which analyzed photos to estimate energy and nutrient intake, outperforming traditional recall methods.
Researchers at Lancaster University and Radboud University Nijmegen have discovered a novel pathway to modulate and amplify spin waves at the nanoscale, paving the way for dissipation-free quantum information technologies. The study's findings could lead to the development of fast and energy-efficient computing devices.
Researchers found that AI tools require support from adults and peers for kids to integrate them meaningfully into their creative practices. The study highlights the need for tailored design approaches that account for children's unique needs and developmental stages.
A new machine-learning model is providing teachers with access to high-quality, fit-for-purpose creativity tests that can score assessments in a fraction of the time and cost. The algorithm marks a test in a single millisecond, saving teachers thousands of hours.
Researchers developed AI tools to boost digital literacy, enabling users to better control their online interactions. Two browser plug-ins, Privacy Sandbox and Dark Pita, were created to identify and address dark patterns on popular platforms.
A new study shows that a fully digital, AI-based lifestyle coaching program can effectively reduce blood pressure in adults with hypertension. The program, which leverages data from wearable activity trackers and BP monitors, also increases participant engagement and reduces the need for manual clinician outreach.
A new study reveals TNIK's role in various diseases, including fibrosis, cancer, obesity, and Alzheimer's. The protein has been found to drive cancer cell proliferation and treatment resistance, while also regulating metabolic processes.
A new study in JCOM monitored changes in university communication within the German landscape six months after the launch of ChatGPT 3. Practically all responding universities use generative AIs mainly to increase process efficiency, with some caution towards ethical aspects such as data protection.
A University of Washington team has developed an AI system called Target Speech Hearing that cancels all other sounds and plays the enrolled speaker's voice in real time. The system was tested on 21 subjects, who rated the clarity of the enrolled speaker's voice nearly twice as high as the unfiltered audio on average.
A recent study uses AI to analyze body composition in patients with lung cancer treated with immunotherapy, finding that changes in muscle mass and fat quality are important indicators of outcomes. The research provides a more nuanced understanding of the relationship between body composition and response to immunotherapy.
The team aims to create a system that can deliver items without human contact, using cables, knots, and multiple robots. They will focus on scaling up the transport of small objects like a basketball and solar panel.
This study uses machine learning to analyze plant science research topics and reveal shifts in model systems and country-specific research focus. The analysis provides insights into the evolution of plant science research in different countries.
Researchers from Ohio State University propose the integration of AI technology in customer service to enhance operational efficiency and customer satisfaction. The benefits include increased accessibility, consistency, and personalized experiences, while addressing evolving hospitality trends.
The study identified over 150 genetic variants linked to disease and showcased the utility of using organoids for brain research. Machine learning was used to predict gene activity, enabling faster and more efficient research.
A new AI model developed by Cold Spring Harbor Laboratory's Benjamin Cowley and team uses a 'population code' to predict fruit fly behavior, revealing that multiple neurons combine to sculpt actions. The breakthrough enables the AI to accurately predict how real flies will behave in response to visual stimuli.
A new dataset integrates global Health AI research, providing a structured resource for researchers, policymakers, and practitioners. The dataset includes 96,332 Health AI documents, covering publications, open research datasets, patents, grants, and clinical trials.
A US Army research collaboration with Boston University's KABlab used an AI machine learning robot to create a record-breaking energy-absorbing shape, breaking the known record of 71% efficiency. The shape has four points, like thin flower petals, and is taller and narrower than early designs.
Two new Parnas Fellows, Prof. Hongyu Zhang and Prof. Daniela Damian, will share their expertise with researchers at Lero, enabling collaboration and knowledge sharing. The fellowship programme has brought world-class software researchers to Ireland to share their experience and expertise.
A group of 25 leading AI scientists call for stronger governance and regulation to prevent misuse and recklessness in advanced AI systems. They warn that unchecked progress could lead to a large-scale loss of life, the marginalization or extinction of humanity.
Research highlights patient comfort with AI in endoscopy and liability concerns. A new study found that robotic gallbladder removal is associated with lower odds of conversion to open surgery and hospitalization.
Researchers at the University of Michigan have created a new type of memristor that can mimic the timekeeping mechanism found in biological neural networks. This breakthrough could lead to significant energy savings for AI chips, potentially reducing energy consumption by a factor of 90 compared to current graphical processing units.
A new AI algorithm developed by Penn State researchers may lead to better predictions and novel therapies for autoimmune diseases. The algorithm analyzes genetic code to identify additional genes of risk and outperforms existing methodologies, identifying 26% more novel gene and trait associations.
Researchers at Nagoya University found that cooperative hunting does not require complex cognitive processes, but rather simple rules and experience. The study used computational models and simulations to demonstrate the effectiveness of cooperation in hunting, with AI agents learning to work together through reinforcement learning.
A new scale, SMNS, measures social media's impact on nightmares, finding a link between excessive social media use and negative mental health outcomes. The study suggests that responsible social media use can help mitigate the occurrence of social media-related nightmares.
Model disgorgement is a set of techniques that force generative models to remove content leading to copyright infringement or biased responses. Researchers propose this approach to address issues like stylistic infringement, where models reproduce copyrighted works in the style of famous artists.
Researchers in Portugal have developed an innovative open-source platform called DL4MicEverywhere, providing life scientists with easy access to advanced artificial intelligence for the analysis of microscopy images. The platform enables researchers to easily train and use deep learning models on their own data, regardless of their com...
Researchers used AI to detect localized versus advanced cancer stages in oropharyngeal squamous cell carcinoma patients. The study suggests improved patient care and clinical decision-making through AI-assisted health record extraction.
Researchers from six teams in five labs worldwide used self-driving labs to discover 21 top-performing OSL gain candidates, accelerating the discovery process by months. The decentralized workflow enabled rapid replication of experimental findings and democratized the discovery process.
A recent study by Bryan Roth and colleagues validated the accuracy of AlphaFold2 in modeling ligand binding sites, leading to promising results for drug discovery. The researchers found that up to 54% of potential compounds interacted successfully with the target proteins, paving the way for new treatments.
A new study reveals that AlphaFold's predictions can be as accurate as experimental structures, enabling the acceleration of drug discovery projects. The algorithm's potential for advancing medicine is vast, with the possibility of significantly expediting project timelines by up to a few years.
Researchers from MIT and the University of Basel developed a physics-informed machine-learning framework that can automatically map out phase diagrams for novel physical systems. This approach leverages generative models, making it possible to detect phase transitions without requiring huge training datasets. The technique has potentia...
USC researchers have developed machine learning models to identify coordinated inauthentic behaviors on X, involving tactics like co-retweeting and text similarity. The fused network approach leverages topological properties of the network to classify accounts and predict their future participation in influence campaigns.
A study published in JAMA Oncology found that AI chatbots can generate empathetic and readable responses to cancer patient questions, comparable to those from physicians. The research also highlights the need for further investigation into the scope, process integration, and patient outcomes of chatbot-facilitated interactions.
A validation study on the WHO app using AI to detect skin diseases showed good reception amongst professionals in Ghana and Kenya. The app aims to improve diagnosis and treatment of neglected tropical diseases and common skin diseases.
A new study using AI to analyze global antimicrobial resistance research found significant gaps in terminology, methods, and communication across sectors. The findings emphasize the importance of integrating surveillance across regions and regions worldwide to prioritize solutions.
Researchers found that large language model-based chatbots fail to recognize users' motivational states when they are hesitant about making healthy behavior changes. However, the chatbots can provide relevant information and support users who have established goals and a commitment to take action. The study highlights the limitations o...
A novel therapy leverages technology and robots to enhance joint attention and imitation skills in children with autism. The RoboCA3T program showed significant improvements in these areas, indicating a potential cost-effective treatment option.
The new Human-Centered Computing Labs at TU Graz offer a unique research infrastructure for interdisciplinary collaboration. The labs are equipped with cutting-edge technology, including virtual reality and motion capturing capabilities, to facilitate research on human-computer interaction, visual computing, and autonomous driving.
Researchers at Uppsala University have developed an artificial tactile system that can detect pressure by touch in a similar way to the human nervous system. The technology has the potential to restore lost functionality to patients after a stroke, as well as enhance interactions between humans and robots.
Researchers trained a large language model on the world's fastest supercomputer, Frontier, exploring approaches to data parallelism and optimizing performance. The study aimed to design models that can learn from training data and apply that knowledge consistently and accurately.
A new study using AI technology analyzed MRI scans from 471 men and 560 women, revealing differences in brain organization at a cellular level. The findings highlight the need for diversity in neurological research and may offer new insights into how psychiatric and neurological disorders develop differently in men and women.
PPPL researchers utilize machine learning to perfect plasma vessel design, optimize heating methods, and maintain stable control of fusion reactions. The team achieves significant results by predicting disruptions and adjusting settings before instabilities occur, enabling high-confinement modes in tokamaks.
A new study from Johns Hopkins University reveals that chatbots can exacerbate polarization by sharing limited information and reinforcing user ideologies, leading to stronger reactions to opposing views.
A new study by Ohio State University found that people prefer interacting with chatbots when they feel embarrassed about what they're buying online, such as personal care products. Chatbots are perceived as less judgmental and less emotionally expressive, reducing embarrassment and increasing willingness to provide personal info.
A new research commentary highlights AI's potential uses in sleep medicine for clinical applications, lifestyle management, and population health. The committee also reviewed barriers and challenges associated with using AI-enabled technologies.
A new IU study reveals that young infants' daily-life input is unique to their age, characterized by high-contrast edges and simple patterns, which serve as a foundation for human vision. This finding has implications for addressing lifelong visual deficiencies and improving AI visual systems.
Graduates with AI knowledge are more likely to receive job interviews and better pay, according to a new study published in Oxford Economic Papers. Researchers found that applicants with AI capital were 54% more likely to get an interview invitation than those without, while larger firms valued AI skills even more.
Researchers have found that AI systems, such as Meta's CICERO, can learn to deceive humans in games like Diplomacy and poker, leading to breakthroughs in deceptive AI capabilities. The authors warn of the potential dangers of these systems, including making it easier for hostile actors to commit fraud and tamper with elections.
Generative artificial intelligence and social media can erode capacities for creative thinking and problem-solving, foster feelings of hopelessness, and reduce attention on the climate crisis. Researchers are calling for a cautious review of generative AI to mitigate its indirect impacts on climate change.
Researchers developed a Pix-2-Pix GAN model to correct PSMA PET/CT images, improving image quality and quantitative markers. The AI-generated images show high correlation with original images and potential for reducing CT scans without compromising image quality.