Social Media Ideas for Neural Networks

Connectionism in AI: How Neural Networks Learn Relationships

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How Neural Networks Learn: Backpropagation Without the Math

Have you ever wondered how a computer learns to recognize faces, read messy handwriting, or understand your voice? Here’s the surprising part: it doesn’t just memorize patterns the...

Maybe All Neural Networks Learn the Same Thing

A neat theoretical result suggests that different networks, trained on different data, can converge to the same internal representation…Continue reading on Medium »

Neural Networks As Simple As Possible

It was 2019 when i first came across chatGPT, that was my first encounter with AI. Back then i didn’t know that it would play a huge role…Continue reading on Medium »

Cerebellum-inspired neural network of supervised learning with tensor-based sparse coding for multi-class classification

by Runguang Zhou, Douglas Zhou, Songting Li, Xiaoyu Chen Under the Marr-Ito-Albus framework, the cerebellum performs supervised learning in Purkinje cells upon the unsupervised sp...

Multi-Layer Perceptron — Width Memorises, Depth Composes

Algorithms in Python— Deep Learning Architectures, Part 1Continue reading on Medium »

Can neural networks model the human perception of geometric shapes?

by Maxence Pajot, Théo Morfoisse, Mathias Sablé-Meyer, Yair Lakretz, Stanislas Dehaene Artificial neural networks achieve impressive success in many vision tasks. Nevertheless, pr...

Optimizers in Deep Learning: From Gradient Descent to Adam:

Have you ever wondered how Artificial Neural Networks learn from their mistakes?Continue reading on Medium »

The Neuron That Was Linear All Along

A brain-like neuron seems distinctly nonlinear, yet the equations governing its inter-spike periods are exactly solvable with a solitary…Continue reading on Medium »

Тернарная нейронка на C#

Мода на квантизацию скоро закончится ...когда появятся они: модели, обученные на тернарной/тритовой/троичной логике.Или нет?Пройдемся по форматам обучения от FP32 до FP4, а потом...

Brain-Inspired Architecture Enables Lifelong Learning for Edge Artificial Intelligence

Researchers have developed a neuromorphic chip that mimics brain learning, reducing memory loss while enabling continuous, low-power AI operation for edge devices worldwide. Resear...

Toward reliable machine learning models for neural circuit inference: A diagnostic study of CNNs on spike trains

by Xiaoqian Sun, Hui Lu, Chen Zeng, Rahul Simha Understanding neuronal topology—how neurons are connected—is essential for uncovering neural computation principles and functional...

How networking became the critical layer of AI

Hidden Technology Behind Autonomous AI Explained | Simplilearn

TL;DR: Autonomous AI relies on more than an LLM. VillainNet shows how attackers could poison a rarely activated subnetwork inside an adaptive SuperNet, hide malicious behavior duri...

Recurrent networks with optimized metaheuristics detect click fraud instances

Every click on a digital advertisement represents a small financial transaction, and in an industry where billions of these micro-payments change hands daily, the temptation to gam...

The Recursive Intelligence Network

For most of the internet’s history, information moved in one direction.Continue reading on Medium »

From Mystery Box to Neural Network: How I Built a Real-Time Intention Recognition System

I stepped into computer engineering to create things on my own and continued into artificial intelligence to make them smarter!Continue reading on Medium »

Quantum neural operator learns PDEs with quadratic expressivity edge

Scientists at Shanghai Jiao Tong University have unveiled a quantum neural operator that promises to squeeze genuine machine-learning power out of today’s noisy, error-prone quantu...

Какие российские сервисы сквозной аналитики советуют нейросети в 2026 году

Уже 37% активных пользователей ИИ начинают искать информацию не в Яндексе или Google, а в нейросетях. Эксперты click.ru решили разобраться, почему одни продукты регулярно появляютс...

Finite-Time Stability Achieved for Delayed Caputo-Katugampola Fractional Fuzzy Neural Networks

In the crowded world of neural network research, where headlines usually belong to large language models and image generators, a quieter mathematical revolution is unfolding—one th...

My Neural Network Got 96% Accuracy. It Was Nearly Worthless.

The most dangerous number in machine learning — and the one move that cut costs by 87%.Continue reading on Medium »

AI/ML Under the Hood — Part 25: Forward Propagation and Backpropagation by Hand

Following One Training Sample Through Every Step of a Neural NetworkContinue reading on The Thoughtful Engineer В»

Neuroscientists have vastly underestimated brain cells’ computing power

A new study shows that each neuron can do multiple computations at once thanks to hundreds of sprawling branches

Покупатели используют ИИ для поиска товаров — 35% переходят по ссылкам из ответов нейросетей

Нейросети стали предпочтительным инструментом в четырех из семи сценариев поиска товаров, сообщили Russian Business в компании «Ашманов и партнеры», специализирующейся на информаци...