Results 91 to 100 of about 9,013,010 (294)
Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source
DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding
3D context has been shown to be extremely important for scene understanding, yet very little research has been done on integrating context information with deep neural network architectures.
Bai, Mingru +9 more
core +1 more source
Using single‐cell transcriptomic and epigenomic profiling, researchers mapped microglial dysfunction across the lifespan of db/db mice. The authors uncovered a nonlinear microglial remodeling featuring early inflammatory priming, a mid‐stage transcriptional inflection, and late dysfunction.
Jizhou Zhang +6 more
wiley +1 more source
Point cloud densification is essential for understanding the 3D environment. It provides crucial structural and semantic information for downstream tasks such as 3D object detection and tracking. However, existing registration-based methods struggle with
Junzhe Ding +3 more
doaj +1 more source
Scene Wireframes Sketching for Drones
The increasing use of autonomous UAVs inside buildings and around human-made structures demands new accurate and comprehensive representation of their operation environments.
Roi Santos +2 more
doaj +1 more source
Unified Semantic Transformer for 3D Scene Understanding
Holistic 3D scene understanding involves capturing and parsing unstructured 3D environments. Due to the inherent complexity of the real world, existing models have predominantly been developed and limited to be task-specific. We introduce UNITE, a Unified Semantic Transformer for 3D scene understanding, a novel feed-forward neural network that unifies ...
Sebastian Koch +5 more
openaire +2 more sources
An origami worm‐inspired robot achieves multimodal locomotion in confined pipelines through mechatronic integration that embeds actuation, control, and communication within each origami module. Large, reversible configuration and dimensional changes enable 25 gaits synthesized by a unified framework across peristaltic, inchworm, and wheel‐rolling modes
Qiwei Zhang +6 more
wiley +1 more source
Multi-view Consistent 3D Panoptic Scene Understanding
3D panoptic scene understanding seeks to create novel view images with 3D-consistent panoptic segmentation, which is crucial for many vision and robotics applications. Mainstream methods (e.g., Panoptic Lifting) directly use machine-generated 2D panoptic
Liu, Xianzhu +5 more
core +1 more source
Mechanical orthodontic treatment for malocclusion is limited by slow remodeling and risks due to poor biomechanical sensing. This study shows that static magnetic fields (SMFs) enhance mechanical sensation in periodontal ligament cells, promoting inflammation and osteoclast activity.
Yiling Lou +11 more
wiley +1 more source
The GPX3‐VCAM1 Axis Gates Pro‐Fibrotic Tubule Cell Fate in Hyperuricemic Nephropathy
Hyperuricemia induces NLRP3 inflammasome signaling activation and downregulation of GPX3 in proximal tubular epithelial cells, leading to oxidative stress–driven VCAM1 upregulation, emergence of pro‐fibrotic proximal tubule cells, macrophage recruitment, and renal fibrosis.
Yunfei Qi +11 more
wiley +1 more source

