Results 51 to 60 of about 19,366 (302)
Memristor-based physical reservoir computing holds significant potential for efficiently processing complex spatiotemporal data, which is crucial for advancing artificial intelligence.
Minrui Lian +10 more
doaj +1 more source
Meta‐analysis fails to show any correlation between protein abundance and ubiquitination changes
We analyzed over 50 published proteomics datasets to explore the relationship between protein levels and ubiquitination changes across multiple experimental conditions and biological systems. Although ubiquitination is often associated with protein degradation, our analysis shows that changes in ubiquitination do not globally correlate with changes in ...
Nerea Osinalde +3 more
wiley +1 more source
Reducing reservoir computer hyperparameter dependence by external timescale tailoring
Task specific hyperparameter tuning in reservoir computing is an open issue, and is of particular relevance for hardware implemented reservoirs. We investigate the influence of directly including externally controllable task specific timescales on the ...
Lina Jaurigue, Kathy Lüdge
doaj +1 more source
Deep Liquid State Machines With Neural Plasticity for Video Activity Recognition
Real-world applications such as first-person video activity recognition require intelligent edge devices. However, size, weight, and power constraints of the embedded platforms cannot support resource intensive state-of-the-art algorithms.
Nicholas Soures, Dhireesha Kudithipudi
doaj +1 more source
Intelligent radiative cooling devices, adaptable to various weather conditions, have the potential for year‐round energy savings. This study introduces a sustainable dual‐mode film made from polycaprolactone nanofibers and upcycled chip bags for effective thermal management.
Qimeng Song +4 more
wiley +1 more source
This work explores Li‐substituted P2 layered oxides for Na‐ion batteries by crystallographic and electrochemical studies. The effect of lithium on superstructure orderings, on phase transitions during synthesis and electrochemical cycling and on the interplay of O‐ versus TM‐redox is revealed via various advanced techniques, including semi‐simultaneous
Mingfeng Xu +5 more
wiley +1 more source
Achieving liquid processors by colloidal suspensions for reservoir computing
The increasing use of machine learning, with its significant computational and environmental costs, has motivated the exploration of unconventional computing substrates. Liquid substrates, such as colloids, are of particular interest due to their ability
Raphael Fortulan +3 more
doaj +1 more source
Physical reservoir computing with origami and its application to robotic crawling
A new paradigm called physical reservoir computing has recently emerged, where the nonlinear dynamics of high-dimensional and fixed physical systems are harnessed as a computational resource to achieve complex tasks.
Priyanka Bhovad, Suyi Li
doaj +1 more source
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana +2 more
wiley +1 more source
Hardware‐Software Codesign of 2D Neuromorphic Optoelectronic Device for Dynamic Gesture Recognition
In‐sensor reservoir computing has recently gained considerable attention for its efficient training process and advanced integration of sensing, storage, and processing functionalities. However, developing a highly efficient in‐sensor reservoir computing
Jiarui Wang +5 more
doaj +1 more source

