Results 101 to 110 of about 5,302,170 (277)
Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source
Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim +4 more
wiley +1 more source
Autonomous vehicles (AVs) rely on a heterogeneous sensor suite of RGB cameras, LiDAR, GPS/IMU, and emerging event-based dynamic vision sensors (DVS) to perceive and navigate complex environments.
Mustafa Sakhai +3 more
doaj +1 more source
In this study, we show that retinal matrix stiffness is increased in diabetic mice. Using engineered human vascular models with controlled matrix stiffness, we demonstrate that stiffening activates focal adhesion kinase (FAK) signaling in pericytes, suppresses Notch signaling, and disrupts vascular morphology.
Emily Warren +6 more
wiley +1 more source
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim +6 more
wiley +1 more source
Event-based dataset for the detection and classification of manufacturing assembly tasks
The featured dataset, the Event-based Dataset of Assembly Tasks (EDAT24), showcases a selection of manufacturing primitive tasks (idle, pick, place, and screw), which are basic actions performed by human operators in any manufacturing assembly.
Laura Duarte, Pedro Neto
doaj +1 more source
Self‐Sealing Microneedles Improve Precision and Reduce Reflux in Subretinal Cell Transplantation
Ultrafine 49G microneedles enable subretinal delivery of induced pluripotent stem cell‐derived retinal pigment epithelial cells through a 50 µm outer diameter tip. Compared with conventional 38G microcannulas, these microneedles reduce cell suspension reflux in a rabbit model, highlighting the potential of microinvasive delivery instruments to improve ...
Jared Ching +9 more
wiley +1 more source
Dynamic and active pixel vision sensor calibration
U ovom radu opisan je osnovni princip rada dinamičkog vizijskog senzora i senzora s aktivnim pikselima, te su popisane su moguće metode umjeravanja dinamičkog vizijskog senzora s aktivnim pikselima.
Kontić, Anton
core
An All‐Fabric Wearable System for Human‐Machine Interaction
An all‐fabric sensing system enables wearable human–machine interaction through a breathable, stretchable, and scalable design. The all‐fabric capacitive sensor achieves a gauge factor of 2.03 over 72% strain and supports body‐motion tracking, 90.5% hand gesture recognition, and real‐time prosthetic hand control, demonstrating a promising pathway ...
Rayane Tchantchane +3 more
wiley +1 more source
Organoids as Building Blocks for Adaptive and Resilient Biohybrid Robots
ABSTRACT Biohybrid robots combine engineered living tissues with synthetic materials and have emerged as a promising class of soft robotic systems capable of mimicking biological functions such as biodegradability, energy efficiency and flexible motions. By integrating biological and synthetic components, these systems leverage complementary properties
Antonia Georgopoulou
wiley +1 more source

