Results 81 to 90 of about 118,830,318 (300)
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
FEBS Open Bio, EarlyView.MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 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
Neuromorphic Denoising with Fully Analog Memristive In‐Memory Computing
Advanced Intelligent SystemsAnalog compute‐in‐memory (CIM) technology utilizes the physical characteristics of memory devices to cancel the repeated data movement between memory and processors.
Daijing Shi +5 more
doaj +1 more source
The Computational Nature of Memory Modification
eLife, 2016 Abstract Retrieving a memory can modify its influence on subsequent behavior. Whether this phenomenon arises from modification of the contents of the memory trace or its accessibility is a matter of considerable debate. We develop a computational theory that incorporates both mechanisms.
Samuel J Gershman +3 more
openaire +5 more sources
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
Reconstructive memory: A computer model [PDF]
Cognitive Science, 1983 This study presents a process model of very long‐term episodic memory. The process presented is a reconstructive process. The process involves application of three kinds of reconstructive strategies—component‐to‐context instantiation strategies, component‐instantiation strategies, and context‐to‐context instantiation strategies.
openaire +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
Role of resistive memory devices in brain-inspired computing
, 2020 This chapter introduces the current state of the art of memristive devices and their roles in emerging computational paradigms. The materials systems and device characteristics of various resistive switching memories, also named memristive device ...
Sabina Spiga +11 more
core +1 more source
Quantum-enhanced reconfigurable in-memory stochastic computing
Light: Science & ApplicationsIn-memory computing, which enables computation directly within memory, represents an efficient approach to processing massively parallel computation tasks that are intractable for conventional computers.
Hong-Zhe Yang +7 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