Results 61 to 70 of about 120,811,929 (257)
Advanced Intelligent Systems, 2020 Memristive stateful logic enables energy‐ and cost‐efficient in‐memory computing, which is desirable for edge computing in the coming Internet of Things (IoT) era.
Young Seok Kim +8 more
doaj +1 more source
FEBS Open Bio, EarlyView.Lactoferrin promotes wound healing by activating MAPK, PI3K/Akt, and extracellular matrix pathways, enhancing fibroblast remodeling, proliferation, and re‐epithelialization. These mechanisms highlight its therapeutic potential in inflammation control, tissue repair, and remodeling.
Morgana Lüdtke Azevedo +4 more
wiley +1 more source
STT-RAM-based Hierarchical In-Memory Computing [PDF]
In-memory computing promises to overcome the von Neumann bottleneck in computer systems by performing computations directly within the memory. Previous research has suggested using Spin-Transfer Torque RAM (STT-RAM) for in-memory computing due to its non-
Gajaria, Dhruv +2 more
core +1 more source
Advanced Intelligent SystemsReservoir computing (RC) possesses a simple architecture and high energy efficiency for time‐series data analysis through machine learning algorithms. To date, RC has evolved into several innovative variants. The next generation reservoir computing (NGRC)
Danian Dong +15 more
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Convolutional Echo‐State Network with Random Memristors for Spatiotemporal Signal Classification
Advanced Intelligent Systems, 2022 The unprecedented development of Internet of Things results in the explosion of spatiotemporal signals generated by smart edge devices, leading to a surge of interest in real‐time learning of such data.
Shaocong Wang +19 more
doaj +1 more source
Comparative assessment of crystallographic and cryo‐EM models in the Protein Data Bank
FEBS Open Bio, EarlyView.Raw data obtained by X‐ray crystallography or cryo‐EM result in experimental maps, ultimately fitted by atomic models. Although the physical principles are different, the final results can be viewed, compared, and evaluated in the same way. With cryogenic electron microscopy (cryo‐EM) on track to surpass X‐ray crystallography as the preferred method ...
Alexander Wlodawer +7 more
wiley +1 more source
A Tiki-Taka-Inspired SOT-MRAM In-Memory Computing Architecture for Long-Term Edge Learning
Applied SciencesSpin–Orbit Torque Magnetic Random-Access Memory (SOT-MRAM)-based in-memory computing (IMC) offers a transformative solution for energy-efficient edge intelligence, yet the deployment of robust online learning remains challenging due to memristive non ...
Yu Li, Fengjun Dong, Guozhong Xing
doaj +1 more source
Nanoscale Research Letters, 2019 With Moore’s law closing to its physical limit, traditional von Neumann architecture is facing a challenge. It is expected that the computing in-memory architecture-based resistive random access memory (RRAM) could be a potential candidate to overcome ...
Zhen-Yu He +6 more
doaj +1 more source
FEBS Open Bio, EarlyView.This pilot study investigates the potential of Generative AI to provide formative feedback to students. ChatGPT was prompted to provide feedback on Year 1 Bioscience essays, which were evaluated against established good feedback practices. GenAI‐authored feedback had useful elements, but was limited in scope. GenAI may have potential to provide instant,
Annabel Court +3 more
wiley +1 more source
, 2022 Hyperdimensional computing (HDC) is a brain-inspired computational framework that relies on long hypervectors (HVs) for learning. In HDC, computational operations consist of simple manipulations of hypervectors and can be incredibly memory-intensive.
Müller, Franz +9 more
core +1 more source