AI feed
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neural
19 articles mention this topic.
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05 Aug 2026
Microchip Technology to Acquire Hailo | Business | Aug 2026 - Photonics Spectra
The deal added neural network optimization technology for AI and machine learning workloads on field-programmable gate arrays and systems-on-chip.
www.photonics.com ↗ -
05 Aug 2026
Local XGBoost Ensemble for Station-Level Ridership Prediction: Modeling Built ... - ASCE Library
Various deep learning models, such as recurrent neural network (RNN) and convolutional neural network (CNN), have been successfully applied to ...
ascelibrary.org ↗ -
05 Aug 2026
Real-world assessment of a deep learning neural network algorithm for prostate cancer ... - UroToday
Deep-learning neural network algorithms for detecting prostate cancer in MRI have proliferated in the literature. However, out of 30+ studies ...
www.urotoday.com ↗ -
04 Aug 2026
What OpenAI's Hugging Face Hack Tells Us About AI's Risks - TIME
All leading AI models are developed using an approach called deep learning, in which artificial neural networks learn from enormous quantities of data ...
time.com ↗ -
04 Aug 2026
Where AI Fits in the Future of Drug Development - Technology Networks
... deep learning and neural networks, that helped to propel the field forward. Today, the pharmaceutical industry is at an inflection point. Where AI ...
www.technologynetworks.com ↗ -
03 Aug 2026
AI Maps Regional Brain Age and Alzheimer's Risk - Neuroscience News
Summary: Researchers trained a deep neural network on magnetic resonance imaging (MRI) scans from nearly 15,000 cognitively healthy individuals ...
neurosciencenews.com ↗ -
03 Aug 2026
AI-enabled measures of brain age offer insights on dementia, more - USC Today
To develop the model, the researchers trained a deep-learning neural network using MRI scans from 14,748 cognitively normal adults ages 19 to 100 ...
today.usc.edu ↗ -
03 Aug 2026
An empirical analysis of LSTM network for modelling the dynamics of paddy production
Through advancements in machine learning, especially in neural network ... M.M.. Hasan. and. M.I. Nadim. , “. Bangladeshi paddy yield estimation by deep ...
pubs.aip.org ↗ -
03 Aug 2026
Forecasting realized volatility with the implied volatility surface: an image-based approach - Risk.net
... deep learning models is developed. We use convolutional neural networks (CNNs) to extract RV predictive factors from the IV matrices at three ...
www.risk.net ↗ -
03 Aug 2026
A novel data-driven framework for CNC machine maintenance: integrating deep learning ... - Nature
The extracted representations are subsequently utilized by a deep neural network to probabilistically estimate component-level failure risks. In the ...
www.nature.com ↗ -
02 Aug 2026
Eye Tracking for Efficient Annotation and Enhanced Neural Network Training - Universität Münster
This data can then be integrated into machine learning models to support segmentation and classification tasks. ... deep learning models. Some of our ...
www.uni-muenster.de ↗ -
02 Aug 2026
A multimodal prediction model for brain hematoma expansion based on deep neural ...
... deep learning methods. Key findings reveal that SResFormer's position-aware transformer architecture can identify subtle hematoma boundary ...
www.springerprofessional.de ↗ -
01 Aug 2026
Analysis of innovative strategies to alleviate the influence of COVID-19 on sustainable ...
... deep learning artificial neural network analysis. Abdul Basit ORCID ... deep learning artificial neural network analysis. Humanit Soc Sci ...
www.nature.com ↗ -
01 Aug 2026
Can Ai Detect Skin Cancer? Exploring The Accuracy, Technology, And Future Of Ai Driven ...
Specifically, researchers utilize Convolutional Neural Networks (CNNs). These are a type of deep learning architecture designed to process pixel data.
as.com ↗ -
31 Jul 2026
Sparse Alignment-Guided Dynamic Dual Contrastive Constraints for Multi-Source and Multi ...
In recent years, deep neural networks have achieved substantial ... Domain adaptation (DA) [3], [4], a core subfield of transfer learning ...
www.sciencedirect.com ↗ -
31 Jul 2026
A comparative study of pre-trained and non-pretrained hybrid CNN-LSTM models | PLOS One
This study explores the potential of artificial intelligence (AI) using a hybrid deep learning Convolutional Neural Network–Long Short-Term Memory ( ...
journals.plos.org ↗ -
31 Jul 2026
CEO of OpenAI says we're 'in the singularity' with AI: Is he right? - Tech Xplore
Machine learning & AI · Other · Robotics · Security ... These deep neural network algorithms are pretrained with vast amounts of training data.
techxplore.com ↗ -
31 Jul 2026
AI Has Already Entered The 'Loss Of Control' Transition - Noema Magazine
Russell traces the development of AI from deep learning to large language models, the integration of artificial neural networks with probability ...
www.noemamag.com ↗ -
31 Jul 2026
A hybrid deep learning and quantum computing framework enhances cybersecurity threat ... - Nature
While traditional deep learning, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), is effective for detecting ...
www.nature.com ↗
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https://www.google.co.in/alerts/feeds/05832220720342067762/8510459957…
Deep Learning - Google
https://www.google.co.in/alerts/feeds/05832220720342067762/1643871049…
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