Search Articles — Sudonull

https://sudonull.com/neural-networks-and-multiplication-swiglu-in-transformers

Breaking down why perceptrons don't multiply and how SwiGLU solves the problem. Formulas, benchmarks, application in LLM. For middle/senior dev.

https://sudonull.com/trend-turn-messages-into-a-song-neural-networks-turn-fights-into-hits

Neural networks turn breakup chats into pop ballads. How Suno and TikTok make millions from others' pain, ethics, and forecasts. Read.

https://sudonull.com/neural-networks-for-aviation-control-tests-by-the-state-research-institute-of-aviation-systems-gosniias-in-russia

GosNIIAS tests neural networks to replace the co-pilot. Learn about the SPO program, digital twins, and forecasts for aviation until 2030. Read the analysis.

https://sudonull.com/how-do-neural-networks-and-deep-learning-work-explained

Discover how do neural networks and deep learning work with clear analogies, real-world applications, and key milestones. Understand the AI shaping your world.

https://sudonull.com/top-video-neural-networks-2026-comparison

Analysis of 10 video generation models Q1 2026: Veo, Kling, Sora. Cost, physics, open-source. Choose a tool for IT projects by LMarena benchmarks.

https://ymaho.com/ai-stylist-how-neural-networks-are-changing-beauty-routines

A quarter of consumers trust AI for cosmetics selection. Find out how algorithms are replacing bloggers and changing the care market. Read the BCG study!

https://ymaho.com/deep-brain-stimulation-reshapes-neural-networks-in-depression

Nature Neuroscience: DBS physically remodels white matter and induces axonal myelination. A new mechanism for treating resistant depression. Read the details.

https://ymaho.com/ai-in-diagnostics-errors-up-to-80-and-gpt-5-hallucinations

Neural networks make mistakes in 80% of cases in differential diagnosis, and GPT-5 produces hallucinations in 65%. Find out why AI is not yet ready to replace a doctor, and where it is truly useful.

https://ymaho.com/ai-predicts-brain-cancer-without-biopsy-using-pet-ct

Multimodal AI model based on graph neural networks analyzes PET/CT and predicts glioma mutations with >95% accuracy. Non-invasive diagnosis without biopsy. Learn more.

https://ymaho.com/how-a-school-student-can-earn-money-online-without-investment-guide-2026

Real ways for school students aged 10 to 17 to earn money without investment. Microtasks, creativity, neural networks and other options with income and tips. Start right now!

https://ymaho.com/ai-model-pythia-predicts-crispr-results-breakthrough-in-gene-editing

Neural network Pythia from scientists in Zurich and Ghent predicts DNA repair after CRISPR, enabling precise gene insertion into non-dividing cells. Learn how AI is changing gene therapy.

https://ymaho.com/ai-diagnosis-of-alzheimer-s-disease-using-mri-94-accuracy

UCSF neural network predicts transition from MCI to Alzheimer's disease within 5 years with 94% accuracy using a single MRI. Alternative to PET and lumbar puncture. Details in the article.

https://ymaho.com/imagination-and-vision-neurons-turned-out-to-be-the-same

Cedars-Sinai researchers proved: imagination and vision activate the same neurons. Learn how the discovery of the neural code changes the understanding of memory, creativity, and treatments for mental disorders.

https://ymaho.com/lincx-biological-wire-rewires-brain-circuits

LinCx technology edits neural connections, increasing stress resistance without drugs. Learn how a one-time method changes depression treatment.

https://ymaho.com/hippocampus-learns-under-anesthesia-nature-study

Hippocampal neurons process speech, distinguish semantics, and predict words under propofol. Learn how this will change anesthesiology and neural interfaces.

Neural Networks | Journal | ScienceDirect.com by Elsevier

https://www.sciencedirect.com/journal/neural-networks

The journal Neural Networks provides a forum for developing and nurturing an international community of scholars and practitioners who are interested in all aspects of neural networks, including deep …

Introduction To Neural Networks - GeeksforGeeks

https://www.geeksforgeeks.org/deep-learning/neural-networks-a-beginners-guide/

Jul 4, 2026 · A neural network can have one or multiple hidden layers. Each layer consists of units (neurons) that transform the inputs into something that the output layer can use.

Neural network - Wikipedia

https://en.wikipedia.org/wiki/Neural_network

A neural network is a group of interconnected units called neurons that send signals to one another. Neurons can be either biological cells or mathematical models.

What is a neural network? - IBM

https://www.ibm.com/think/topics/neural-networks

A neural network is a machine learning model that stacks simple "neurons" in layers and learns pattern-recognizing weights and biases from data to map inputs to outputs.

Neural network (machine learning) - Wikipedia

https://en.wikipedia.org/wiki/Neural_network_(machine_learning)

In machine learning, a neural network (NN) or neural net, is a computational model inspired by the structure and functions of biological neural networks. [1][2] A neural network consists of connected …

Artificial Neural Networks and its Applications - GeeksforGeeks

https://www.geeksforgeeks.org/deep-learning/artificial-neural-networks-and-its-applications/

Jul 4, 2026 · Artificial Neural Networks (ANNs) are the fundamental building blocks of modern deep learning systems. They consist of interconnected artificial neurons organized into layers that learn …

6 Neural Networks – 6.390 - Intro to Machine Learning

https://introml.mit.edu/notes/neural_networks.html

6 Neural Networks You’ve probably been hearing a lot about “neural networks.” Now that we have several useful machine-learning concepts (hypothesis classes, classification, regression, gradient …

Neural networks | Machine Learning | Google for Developers

https://developers.google.com/machine-learning/crash-course/neural-networks

Aug 25, 2025 · This module explores neural networks, a model architecture designed to automatically identify nonlinear patterns in data, eliminating the need for manual feature cross experimentation. …

Neural Networks Explained (Beginner-Friendly Guide)

https://allfortheai.com/neural-networks-explained/

Mar 12, 2026 · Learn what neural networks are and how they work in this beginner-friendly guide. Discover types, examples, advantages, and how neural networks power AI.

Neural Networks and Deep Learning: A Textbook - Springer

https://link.springer.com/book/10.1007/978-3-031-29642-0

Simple and intuitive discussions of neural networks and deep learning Provides mathematical details without losing the reader in complexity Includes exercises and examples Discusses both traditional …