Results 61 to 70 of about 16,826 (269)
Computers, 2023 The timely diagnosis of defects at their incipient stage of formation is crucial to extending the life-cycle of technical appliances. This is the case of mechanical-related stress, either due to long aging degradation processes (e.g., corrosion) or in ...
Giacomo Donati +2 more
doaj +1 more source
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review [PDF]
, 2023 The field of Tiny Machine Learning (TinyML) has gained significant attention due to its potential to enable intelligent applications on resource-constrained devices.
Wolinski, Pierre +2 more
core +5 more sources
Adversarial machine learning phases of matter
Quantum Frontiers, 2023 We study the robustness of machine learning approaches to adversarial perturbations, with a focus on supervised learning scenarios. We find that typical phase classifiers based on deep neural networks are extremely vulnerable to adversarial perturbations:
Si Jiang, Sirui Lu, Dong-Ling Deng
doaj +1 more source
Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Advanced Science, EarlyView.Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
Unveiling the Potential of Tiny Machine Learning for Enhanced People Counting in UWB Radar Data [PDF]
Tiny Machine Learning (TinyML) allows to move the intelligence processing as close as possible to where data are generated, hence reducing the latency with which a decision is made and being able to process data even when remote connection is scarce or ...
Roveri, Manuel +3 more
core +1 more source
Tiny machine learning for UWB-radar based subject recognition in cars [PDF]
, 2021 LAUREA MAGISTRALENegli ultimi anni è emerso il bisogno di sistemi in grado di rilevare con precisione ed affidabilità la presenza di persone o animali in uno spazio chiuso. Specialmente nel settore dell'automotive, rilevare la presenza di un soggetto
Pavan, Massimo
core
Advanced Science, EarlyView.Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su +13 more
wiley +1 more source
IoT Makers: A Collaborative Learning Experience with TinyML
Shodh SariTraditional teaching methods often fail to fully engage students in the field of IoT, particularly when it comes to applying machine learning at the edge. This paper presents an innovative pedagogical approach titled “IoT Makers,” aimed at MSc Artificial
Dr. Helen K. Joy
doaj +1 more source
Advanced Science, EarlyView.A design of double gradient effect is proposed to resolve the contradictory optimization on sensitivity and linearity of piezoresistive tactile sensors. The ultrawide linearity is realized by the sequential trigger of pressure‐induced gradient conductivity‐enabled linear current owing to the gradient microstructures.
Yao Fang +13 more
wiley +1 more source
Evaluating the Effectiveness of Large Language Models (LLMs) Versus Machine Learning (ML) in Identifying and Detecting Phishing Email Attempts [PDF]
Phishing emails remain a significant concern and a growing cybersecurity threat in online communication. They often bypass traditional filters due to their increasing sophistication.
Saed Tarapiah +5 more
core +1 more source