A full-featured 2D flash chip enabled by system integration. [PDF]
Liu C +13 more
europepmc +1 more source
Untangling nutrient co‐regulation of ombrotrophic peatland development
Multi‐method (FTIR, FT‐NIR and TGA) approaches characterizing the organic peat constituents at Holcroft Moss reveal a record of switches that reflect broadly hydroclimate variability governing the decomposition patterns. There are periods, however, where hydroclimate does not fully explain the variability observed and instead changes appear linked to ...
Richard C. Chiverrell +6 more
wiley +1 more source
Empirical Evaluation of Unoptimized Sorting Algorithms on 8-Bit AVR Arduino Microcontrollers. [PDF]
Golonka J, Krużel F.
europepmc +1 more source
Evidence of emerging transcriptome mediators of Alzheimer's disease in canine cognitive dysfunction
Canine cognitive dysfunction (CCD) may be a promising model of Alzheimer's disease (AD). To assess AD‐related molecular signatures in CCD, we generated transcriptome data on dog cortex and plasma extracellular vesicles (EVs). CCD‐related transcriptome changes were similar to those in aging/AD humans and were detectable in EVs from the same animals ...
Shelby C. Osburn +7 more
wiley +1 more source
A spyware detection method for firmware based cyber attacks. [PDF]
Shamshirsaz BA, Asghari SA, Aminian M.
europepmc +1 more source
Deploying TinyML for energy-efficient object detection and communication in low-power edge AI systems. [PDF]
Bhushan CM +7 more
europepmc +1 more source
Advancing the Frontiers of HfO<sub>2</sub>-Based Ferroelectric Memories: Innovative Concepts from Materials to Applications. [PDF]
Zhou Z +9 more
europepmc +1 more source
FlashLightNet: An End-to-End Deep Learning Framework for Real-Time Detection and Classification of Static and Flashing Traffic Light States. [PDF]
Khaled LB, Rahman M, Ebu IA, Ball JE.
europepmc +1 more source
Evaluating machine learning efficiency and accuracy for real time flash flood mapping. [PDF]
Mirzapour H, Haghizadeh A, Motlagh MS.
europepmc +1 more source
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LLM in a flash: Efficient Large Language Model Inference with Limited Memory
Annual Meeting of the Association for Computational Linguistics, 2023Large language models (LLMs) are central to modern natural language processing, delivering exceptional performance in various tasks. However, their substantial computational and memory requirements present challenges, especially for devices with limited ...
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