In 1989, Yann LeCun helped show that neural networks could read handwritten ZIP codes, laying groundwork for systems that later read bank checks

In 1989, a computer scientist tackled the messy challenge of reading handwritten zip codes for the US Post Office. This ...

In 2014, Ian Goodfellow introduced competing neural nets that power modern AI image tools

In 2014, Ian Goodfellow introduced Generative Adversarial Networks (GANs), a revolutionary AI concept pitting two neural ...

AI Hallucinations Are A Feature, Not A Bug

Nvidia’s paper on its ArtFixer tool begins with a line that is absolutely incomprehensible if you’re not already AI-pilled: ...
Frontiers

How humans and machines make meaning: Exploring neural and computational mechanisms of multimodal language

Language understanding is inherently multimodal. Whether we read, listen, or converse, our brains go beyond words to draw on visual scenes, prosody, prior ...
techtimes

WWDC 2026 Day 3: Xcode 27 Neural Engine Completes Code Without Sending Source to Any Server

Wednesday is the hands-on day at WWDC 2026. Group Labs for Xcode 27, Foundation Models, Core AI, App Intents, and the parental-control API stack are running today, June 10, at Apple Park — the last ...
Frontiers

Beyond the single neuron: computational principles of distributed neural coding in the age of large-scale recordings

You will be redirected to our submission process. Neural coding is the fundamental language of the brain, the set of rules by which stimulus features and internal states are transformed into ...
Beebom

Escape From Tarkov Codes (June 2026)

Escape from Tarkov is the game that pioneered the entire extraction shooter genre today. With one of the most dedicated shooter playerbases, Escape from Tarkov provides one of the most gun-accurate ...
IEEE

Graph Attention Network Aided Message-passing Neural Decoder for Polar Codes Based on Sparse-pruned Tanner Graphs

Abstract: In this letter, we propose a fully trainable graph neural network (GNN) decoder for short polar codes, underpinned by a novel graph attention network (GAT)-aided message-passing (GAT-MP) ...
Breaking Defense

Pentagon workers vibe-code 100,000 AI ‘agents’ to use on unclassified networks

WASHINGTON — Military personnel and Defense Department civilians have used a version of Google Gemini’s Agent Designer to create over 100,000 semi-autonomous AI agents in less than five weeks since ...
LinkedIn

Simple Neural Network code I - Convolutional ANN

In this edition, we will make a simple convolutional neural network for image recognition and train it to recognize images. We will be using the Python programming language (the most popular one for ...
GitHub

What are neural networks?

What is a neural network? A neural network, also known as an artificial neural network, is a type of machine learning that works similarly to how the human brain processes information. Instead of ...
Nature

A frugal Spiking Neural Network for unsupervised multivariate temporal pattern classification and multichannel spike sorting

Advanced large-scale neural interfaces call for efficient algorithms to automatically process and optimally exploit the richness of their heavy continuous flow of data. In this context, we introduce ...