Showing 20 articles starting at article 421
< Previous 20 articles Next 20 articles >
Categories: Engineering: Robotics Research, Mathematics: Modeling
Published Turning old maps into 3D digital models of lost neighborhoods
(via sciencedaily.com) Original source Imagine strapping on a virtual reality headset and 'walking' through a long-gone neighborhood in your city -- seeing the streets and buildings as they appeared decades ago. That's a very real possibility now that researchers have developed a method to create 3D digital models of historic neighborhoods using machine learning and historic Sanborn Fire Insurance maps.
Published Emulating how krill swim to build a robotic platform for ocean navigation
(via sciencedaily.com) Original source Researchers have presented important first steps in building underwater navigation robots.
Published Generative AI models are encoding biases and negative stereotypes in their users
(via sciencedaily.com) Original source In the space of a few months generative AI models, such as ChatGPT, Google's Bard and Midjourney, have been adopted by more and more people in a variety of professional and personal ways. But growing research is underlining that they are encoding biases and negative stereotypes in their users, as well as mass generating and spreading seemingly accurate but nonsensical information. Worryingly, marginalized groups are disproportionately affected by the fabrication of this nonsensical information.
Published Stronger tape engineered through the art of cutting
(via sciencedaily.com) Original source What if you could make adhesives both strong and easily removable? This seemingly paradoxical combination of properties could dramatically change applications in robotic grasping, wearables for health monitoring, and manufacturing for assembly and recycling. A team has adapted kirigami, the ancient Japanese art of cutting paper, into a method for increasing the adhesive bond of ordinary tape by 60 times. Developing such adhesives may not by that far off through the latest research conducted by the team of Michael Bartlett, assistant professor in the Department of Mechanical Engineering at Virginia Tech, and published in Nature Materials on June 22.
Published Bridging traditional economics and econophysics
(via sciencedaily.com) Original source How do asset markets work? Which stocks behave similarly? Economists, physicists, and mathematicians work intensively to draw a picture but need to learn what is happening outside their discipline. A new paper now builds a bridge.
Published High-quality child care contributes to later success in science, math
(via sciencedaily.com) Original source Children who receive high-quality child care as babies, toddlers and preschoolers do better in science, technology, engineering and math through high school, and that link is stronger among children from low-income backgrounds, according to new research.
Published Metamaterials with built-in frustration have mechanical memory
(via sciencedaily.com) Original source Researchers have discovered how to design materials that necessarily have a point or line where the material doesn't deform under stress, and that even remember how they have been poked or squeezed in the past. These results could be used in robotics and mechanical computers, while similar design principles could be used in quantum computers.
Published Hybrid AI-powered computer vision combines physics and big data
(via sciencedaily.com) Original source Researchers have laid out a new approach to enhance artificial intelligence-powered computer vision technologies by adding physics-based awareness to data-driven techniques. The study offered an overview of a hybrid methodology designed to improve how AI-based machinery sense, interact and respond to its environment in real time -- as in how autonomous vehicles move and maneuver, or how robots use the improved technology to carry out precision actions.
Published A step toward safe and reliable autopilots for flying
(via sciencedaily.com) Original source Researchers developed a machine-learning technique that can autonomously drive a car or fly a plane through a very difficult 'stabilize-avoid' scenario, in which the vehicle must stabilize its trajectory to arrive at and stay within some goal region, while avoiding obstacles.
Published Four-legged robot traverses tricky terrains thanks to improved 3D vision
(via sciencedaily.com) Original source Researchers have developed a new model that trains four-legged robots to see more clearly in 3D. The advance enabled a robot to autonomously cross challenging terrain with ease -- including stairs, rocky ground and gap-filled paths -- while clearing obstacles in its way.
Published Mori3: A polygon shape-shifting robot for space travel
(via sciencedaily.com) Original source By combining inspiration from the digital world of polygon meshing and the biological world of swarm behavior, the Mori3 robot can morph from 2D triangles into almost any 3D object. The research shows the promise of modular robotics for space travel.
Published Chatgpt designs a robot
(via sciencedaily.com) Original source Poems, essays and even books -- is there anything the OpenAI platform ChatGPT can't handle? These new AI developments have inspired researchers to dig a little deeper: For instance, can ChatGPT also design a robot? And is this a good thing for the design process, or are there risks?
Published AI-generated academic science writing can be identified with over 99% accuracy
(via sciencedaily.com) Original source The debut of artificial intelligence chatbot ChatGPT has set the world abuzz with its ability to churn out human-like text and conversations. Still, many telltale signs can help us distinguish AI chatbots from humans, according to a new study. Based on the signs, the researchers developed a tool to identify AI-generated academic science writing with over 99% accuracy.
Published Applying artificial intelligence for early risk forecasting of Alzheimer's disease
(via sciencedaily.com) Original source An international research team has developed an artificial intelligence (AI)-based model that uses genetic information to predict an individual's risk of developing Alzheimer's disease (AD) well before symptoms occur. This groundbreaking study paves the way for using deep learning methods to predict the risks of diseases and uncover their molecular mechanisms; this could revolutionize the diagnosis of, interventions for, and clinical research on AD and other common diseases such as cardiovascular diseases.
Published Sponge makes robotic device a soft touch
(via sciencedaily.com) Original source A simple sponge has improved how robots grasp, scientists have found.
Published New AI boosts teamwork training
(via sciencedaily.com) Original source Researchers have developed a new artificial intelligence (AI) framework that is better than previous technologies at analyzing and categorizing dialogue between individuals, with the goal of improving team training technologies. The framework will enable training technologies to better understand how well individuals are coordinating with one another and working as part of a team.
Published Robot 'chef' learns to recreate recipes from watching food videos
(via sciencedaily.com) Original source Researchers have trained a robotic 'chef' to watch and learn from cooking videos, and recreate the dish itself.
Published The digital dark matter clouding AI
(via sciencedaily.com) Original source Scientists using artificial intelligence technology may be inviting unwanted noise into their genome analyses. Now, researchers have created a computational correction that will allow them to see through the fog and find genuine DNA features that could signal breakthroughs in health and medicine.
Published Finally solved! The great mystery of quantized vortex motion
(via sciencedaily.com) Original source Scientists investigated numerically the interaction between a quantized vortex and a normal-fluid. Based on the experimental results, researchers decided the most consistent of several theoretical models. They found that a model that accounts for changes in the normal-fluid and incorporates more theoretically accurate mutual friction is the most compatible with the experimental results.
Published New method improves efficiency of 'vision transformer' AI systems
(via sciencedaily.com) Original source Vision transformers (ViTs) are powerful artificial intelligence (AI) technologies that can identify or categorize objects in images -- however, there are significant challenges related to both computing power requirements and decision-making transparency. Researchers have now developed a new methodology that addresses both challenges, while also improving the ViT's ability to identify, classify and segment objects in images.