Results 111 to 120 of about 25,780,245 (278)
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Neuromorphic imaging cytometry: event-driven cell analytics powered by AI
Imaging flow cytometry (IFC) provides spatial resolution and multi-parametric measurements to characterise cells of interest. It enables profound insights into cell signalling, co-localisation, cell-to-cell interaction, and DNA studies.
Ziyao Zhang +7 more
doaj +1 more source
The widespread use of visual surveillance in public areas puts individual privacy at stake while also increasing resource usage (energy, bandwidth, and computation).
Shafiq Ahmad +2 more
doaj +1 more source
Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair +3 more
wiley +1 more source
A review of event-based vision sensor fusion: architectures, evaluation and robustness challenges
Event-based vision is a neuromorphic sensing approach that enables low-latency, energy-aware perception by encoding brightness changes as sparse, asynchronous events rather than dense image frames.
Anusha Devulapally +2 more
doaj +1 more source
Long-term object tracking with a moving event camera
This paper presents a long-term object tracking algorithm for event cameras. A first of its kind for these revolutionary cameras, the tracking framework uses a discriminative representation for the object with online learning, and detects and re-tracks ...
Zhang, Shihao +5 more
core
EVReflex: Dense Time-to-Impact Prediction for Event-based Obstacle Avoidance
The broad scope of obstacle avoidance has led to many kinds of computer vision-based approaches. Despite its popularity, it is not a solved problem. Traditional computer vision techniques using cameras and depth sensors often focus on static scenes, or ...
HADFIELD, SIMON J, Walters, Celyn
core
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
Demagnetization‐Driven Nanoscale Chirality‐Selective Phonon Transport
Chiral heat flow is switched in a ferromagnet/chiral α‐SiO2 heterostructure by controlling the angular momentum of demagnetization‐driven chiral phonons. When phonon handedness matches the crystal chirality, nanoscale thermal transport is enhanced; the opposite handedness suppresses transport, establishing a magnetization‐tunable chiral phonon diode ...
In Hyeok Choi +8 more
wiley +1 more source
Unlocking High-Frequency Temporal Visual Cues for Personality Traits Recognition
Personality traits recognition (PTR) plays a pivotal role in developing intuitive human-computer interaction systems. Visual-based PTR methods have achieved notable success by leveraging dynamic cues such as facial expressions and body movements. However,
Yusong Wang +5 more
doaj +1 more source

