Articles tagged with Three Dimensional Modeling
Researchers from SUTD develop HieraScaffold, an AI framework that generates large-scale 4D LiDAR scenes more efficiently and coherently. The framework captures both static structures and moving objects, improving the realism and accuracy of autonomous systems.
Researchers at ETH Zurich have created a 3D-printed model of a rock avalanche to study the movement of mixtures of water, ice, and rock. The model, which is 1:577 in scale, was used to test various scenarios and measure parameters such as depth of runoff and impact dynamics.
Researchers develop adaptive multi-expert framework for dynamic 3D reconstruction, combining strengths of multiple motion representations to improve reconstruction quality. The framework leverages complementary experts to handle heterogeneous dynamics, enabling more accurate reconstruction of complex scenes.
Researchers at MIT developed bifur-circuits, a new type of shape-changing smart device that can be reconfigured to form different shapes and maintain electrical connections. These interactive building blocks can be used to create adaptable smart devices, such as assistive furniture and reconfigurable robotic grippers.
Researchers developed a system using a 3D time-of-flight camera to measure frozen skipjack tuna, capturing dense 3D point-cloud data for accurate body size and weight estimation. The combination of 3D imaging and machine learning analysis yielded accurate noncontact estimates of fish body weight.
Researchers at ISTA develop two modeling approaches to represent extremely deformable surfaces more realistically while cutting computational costs. They take inspiration from natural systems like volcanic lava and cake batter to create a wave-based approach, which tackles long-standing graphics problems from a new angle.
A new tool generates realistic monkey body animations, revealing an uncanny valley effect where macaques prefer less realistic avatars to highly realistic ones. The study provides the first evidence that non-human primates experience this phenomenon.
Researchers create custom-fit prosthetic hands with soft magnetic sensors that capture subtle changes in muscle shape and pressure. The system performs consistently and reliably, translating intent into control of a dexterous robotic hand with up to 90% accuracy.
MIT researchers developed a new system-on-a-chip called Gleanmer, which generates highly accurate 3D maps of the robot's environment using Gaussians to represent obstacles. This approach reduces memory and power consumption by up to 99%, making it suitable for lightweight augmented reality headsets.
MD4SB integrates molecular dynamics tools into three European Research Infrastructures, enabling researchers to share and reuse data, and accelerate drug discovery. The project also involves pharmaceutical companies like Almirall and Sanofi.
Researchers have digitally preserved the vaquita by scanning a complete skeleton and creating interactive 3D models. The technology enabled the team to capture microscopic skeletal details and make the information accessible to anyone, with the resulting models being made freely available through MorphoSource.
Researchers developed SpiderCam, a highly energy-efficient 3D camera inspired by jumping spiders. It captures two images with different focus settings and analyzes the differences in sharpness to produce real-time 3D maps while consuming less than a watt of power.
Researchers from Drexel University developed BioCoach, a program using AI and computer vision to analyze video and provide form coaching in real time. The system analyzes visual appearance and motion patterns, as well as 3D skeletal movements and body shape, to deliver detailed biomechanics-based feedback.
Researchers at Binghamton University developed a system that enables users to monitor real plants in real-time using virtual reality. This technology makes farming more accessible for older adults and people with disabilities, allowing them to observe plants without physically being present.
A new approach enables computers and machines to capture images at higher resolution and faster speed, making it impervious to reflective surfaces. The technology uses a virtual screen created by repurposing the surroundings of specular objects.
The Bioinspired123D system uses a 3-billion-parameter language model to generate reliable 3D design behavior from small models. The system achieves near fourfold performance improvement over larger state-of-the-art language models and demonstrates direct compatibility with standard additive manufacturing workflows.
The new computational violin simulates the physics of string interaction with air, producing realistic sound. Luthiers can tweak parameters like wood type or body thickness before hearing the instrument's response.
The Center for Cellular Language Intelligence will decipher the complex communications that govern tumor ecosystems, revealing principles of cellular organization and biological programs influencing cancer initiation and response. Led by Linghua Wang, the center aims to accelerate discovery and deliver new therapeutic targets, predicti...
Researchers used 3D imaging and artificial intelligence to analyze the microscopic structure of coral skeletons, revealing subtle changes caused by Stony Coral Tissue Loss Disease. The study found that Attention U-Net performed best in detecting differences between healthy and diseased corals.
Epic Games has acquired Meshcapade, a Max Planck startup that develops solutions for creating and animating digital humans. The technology, based on the SMPL body model, enables realistic human movement and expression in 3D.
Researchers developed a free-to-use software tool, PSBench, to verify the accuracy of artificial intelligence-based protein structure predictions. The database includes 1.4 million annotated protein models, verified by experts, and provides reliable information for building more accurate AI systems.
Researchers at Cornell University have developed a new technique to create digital images of cloth that more accurately captures the texture of textiles. The method models how light interacts with yarns, both as it passes through and reflects off the fabric, enabling more realistic renderings for the gaming and animation industry.
The Stowers Institute has appointed its first AI Fellow, Sumner Magruder, to harness the potential of artificial intelligence in biological research. He will collaborate with researchers to design new algorithms and unlock insights from large datasets.
Researchers from TU Graz have documented and analyzed Buddhist temples in the remote Dolpo region of Nepal, creating 3D models and 2D plans to preserve their history. The study provides insights into the sacred architecture of the region, categorizing existing buildings in their historical and art-historical context.
Researchers developed a fully automated finite element analysis pipeline to transform spine diagnostics and personalized treatment planning. The new approach enables rapid, patient-specific simulations that support preoperative planning, spinal implant optimization, and early detection of degenerative spine conditions.
Tayfun Tezduyar's space-time computational flow analysis enables accurate modeling of complex systems, from designing parachutes for astronauts to simulating blood flow through heart valves. The approach provides high-fidelity representations in both space and time, allowing for more realistic solutions.
Computer scientists at Princeton University are working on a system that pairs virtual reality with a physical robot, allowing users to seamlessly interact with the physical world. The technology enables tasks like selecting an object across the room or erasing physical objects from view, creating a more immersive experience.
Researchers at Penn State have simulated a new class of protein misfolding using atomic-scale models, revealing a type of entanglement that disrupts protein function and persists in cells. The findings support the existence of this long-lasting type of misfolding, which is thought to contribute to aging and disease.
A new study by the Germans Trias i Pujol Research Institute expands and optimizes 3D models to investigate colorectal cancer. The results show that different culture conditions affect spheroid morphology and compactness, highlighting the need for standardization.
A team of Penn engineers and materials scientists have developed a biomineral-infused concrete that captures up to 142% more CO2 than conventional mixes while using less cement. The new material is stronger, lighter, and uses fewer materials like cement.
Researchers at Cornell University have developed a process that transforms short videos of rooms into highly accurate, interactable 3D simulations. The technology can be used to create more realistic video games and train robots to operate within specific real-world spaces.
A novel 3D modeling method accurately quantifies the shading potential of over 800 microalgal species, affecting underwater light conditions and ecosystem balance. The study provides a comprehensive Projected Area Database for freshwater microalgae, enabling researchers to estimate the ecological impact of algal blooms.
Researchers at ETH Zurich have created a living material that can absorb CO2 from the air through photosynthesis and store it in a stable mineral form. The material, made with cyanobacteria, can be shaped using 3D printing and requires sunlight, water, and nutrients to grow.
A new AI tool developed by University of Missouri researchers can predict the 3D shape of chromosomes inside individual cells, providing a new view of how genes work. The tool helps identify unique differences in chromosome folding between cells, which controls gene activity and can lead to diseases like cancer.
Researchers have developed an image-analysis tool called SeaSplat that cuts through the ocean's optical effects and generates images of underwater environments with accurate colors. The team paired SeaSplat with a computational model to convert images into three-dimensional underwater worlds, allowing for virtual exploration.
Researchers at Rice University have developed a novel personalized medicine approach for addressing movement impairments. The Neuromusculoskeletal Modeling (NMSM) Pipeline software allows clinicians to work in collaboration to construct personalized computer models of individual patients, leading to more effective orthopedic surgery, p...
Researchers analyzed a skeleton with a severe knee injury to uncover the complexities of social attitudes towards individuals with disabilities in medieval Europe. The study found that despite negative cultural views, some individuals with disabilities received long-term care and prominent burials.
Researchers have developed a model called Difface that can reconstruct 3D facial images from DNA data, improving forensic investigations. The method demonstrates excellent performance in aligning and reconstructing facial images from paired DNA differences.
BiaPy breaks down the barrier to AI-based image analysis in biomedicine, allowing more scientists and healthcare professionals to harness its potential. The tool offers various types of analysis, including cell identification, element counting, and improving image quality, on both two-dimensional and three-dimensional images.
Researchers have developed three-dimensional spheroid cultures that better replicate cell-cell interactions and nutrient gradients, leading to a greater understanding of tumour tissue behaviour and drug responses. The study highlights the importance of mimicking tumour architecture in testing cancer therapies.
A team of researchers from the University of Tokyo used simulations to create a detailed 3D model of a fault, which helped them understand how different parts of a fault contribute to uplift during an earthquake. The study revealed that fault geometry is a critical factor in determining the impact of earthquakes on land.
Researchers explored CFRP-RC composites to overcome brittle failure and residual deformation in conventional shear walls. A refined size-effect correction model was proposed to address limitations in seismic performance prediction, paving the way for more resilient designs.
Researchers developed Draw2Cut, a novel vision system that allows users to draw directly onto materials to be cut or milled. The system creates 3D CAD plans for CNC machines, reducing complexity in manufacturing.
Researchers developed collagen-based scaffolds that can integrate with a vascular and perfusion organ-on-a-chip reactor to form complete tissue engineering platforms. The team demonstrated the ability to create non-planar 3D networks in soft, organic material by printing helical vascular networks modeled after DNA structure.
FAU CA-AI will acquire NVIDIA infrastructure for generative physical AI and develop state-of-the-art hardware and software for computational T&E of connected AI autonomy. This funding solidifies FAU's role as a national leader in next-gen networked AI autonomous systems research.
Researchers unveiled a new class of topological insulator with an octupole phase protected by a three-dimensional momentum-space nonsymmorphic symmetry group. The discovery broadens the understanding of higher-order topological phases and provides new insights into band theory in the Brillouin real projective space.
Researchers Ana Ivonne Vazquez-Armendariz and Jan Hasenauer are using their prize money to study the functions of scavenger cells in the lungs, combining mathematics and medicine. Their new models aim to understand how these immune cells behave in the lung, potentially unlocking better defense mechanisms.
Researchers developed a new model called React-OT that can predict the transition state of chemical reactions in under a second with high accuracy. The model uses linear interpolation to generate better initial guesses, reducing the number of steps and computation time needed.
Researchers from PolyU explore how virtual environments and collaborative learning influence film lighting skills acquisition in VR-based education. The study reveals that beach settings boost engagement but increase frustration, while team learning enhances collaboration.
Researchers at KAUST developed a highly accurate 3D dynamic model to better anticipate large earthquakes. The model provides a more accurate understanding of strong shaking during the Turkiye earthquake, enabling information for future seismic hazard assessments.
Researchers developed an AI model that creates synthetic fibrosis patterns to aid in treating atrial fibrillation. The system accurately mimics real heart scarring and enables clinicians to test different treatment approaches on digital models before performing procedures.
BEAMoCap simplifies 3D animation by eliminating marker suits using AI and machine vision. This reduces production timeline and increases creative flexibility for game developers and film animators.
A new editorial in Oncotarget discusses how artificial intelligence can improve liver imaging by recognizing when it might be wrong. The approach, called 'uncertainty quantification,' helps clinicians better detect liver cancer and other diseases by pointing out areas in medical scans that need a second look.
A Kobe University study found that temperature at the plate interface predicts earthquake type, while a specific plate shape causes a seismic gap. Water released from rock transformation explains slow slip events and tectonic tremors, reducing stress between plates.
A new study presents a proof-of-concept leptomeningeal neural organoid (LMNO) fusion model to study meninges-brain signaling. The co-culture system of neural organoids fused with fetal leptomeninges from mice demonstrates stability and interface characteristics.
A new tool called SplatOverflow enables remote hardware troubleshooting using 3D phone scans, creating a scalable and structured approach to support users. This innovation addresses the current gap in hardware maintenance by connecting design information, documentation, and end-user discussions to actual hardware.
University of Missouri researchers developed a method using lidar and AI to analyze pedestrian, cyclist, and vehicle interactions at traffic signals. The approach aims to enhance driver awareness, reduce accidents, and improve mobility.
Full Waveform Inversion (FWI) technology provides unprecedented precision in seismic imaging, breaking resolution limitations of traditional methods. It characterizes complex structures within the Earth's interior and offers higher-resolution subsurface models.
Researchers at Purdue University have developed AI-powered software, Molecular Intelligence, to structure biomolecules from cryo-EM image data. The tool uses deep learning to analyze low-resolution image data and construct accurate 3D structures of proteins and other biomolecules.
A new framework allows users to correct a robot's actions in real-time using intuitive interactions, such as pointing or nudging the arm. The method achieves a success rate of 21% higher than an alternative approach, enabling more efficient and accurate task completion.