Physics-informed AI learns local rules behind flocking and collective motion behaviors

Researchers at Seoul National University and Kyung Hee University report a framework to control collective motions, such as ring, clumps, mill, flock, by training a physics-informed AI to learn the ...
EurekAlert!

SNU-KHU researchers jointly develop a framework to manipulate emergent behavior and decode real-world flocking

Researchers at Seoul National University and Kyung Hee University report a framework to control collective motions, such as ...

Why LSTM Outperforms RNN in AI Models? A Deep Dive into Its Structure and Advantages

Recurrent Neural Networks (RNNs) are AI models designed to process sequential data, capable of sequentially handling words and temporarily storing previously processed information in short-term memory ...
Intuit on MSN

6 steps to train an AI model to do whatever you want

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...
Phys.org

DNA-based neural network learns from examples to solve problems

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...
GitHub

Simple Neural Network Models

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...
Hosted on MSN

Backpropagation In Neural Networks — Full Derivation Step-By-Step

Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back Propagation in Neural Networks. In this video, we are using using binary ...
Futurism

OpenAI Has a Major Problem on Its Hands With GPT-5

It has only been five days since OpenAI’s long-awaited GPT-5 model was released — and in those five days, we’ve been given countless reasons to conclude that it’s a bit of a dud. As The Information ...
Ars Technica

How a grad student got LHC data to play nice with quantum interference

Measurements at the Large Hadron Collider have been stymied by one of the most central phenomena of the quantum world. But now, a young researcher has championed a new method to solve the problem ...
Frontiers

Compatibility optimization of the traditional Chinese medicines ‘Eczema mixture’ based on back-propagation artificial neural network and non-dominated sorting genetic algorithm

Introduction: Chinese medicine formulas (CMF) are an important aspect of traditional Chinese medicine (TCM) and are formulated based on strict compatibility proportions guided by TCM theory. Due to ...
Quanta Magazine

How Can AI ID a Cat? An Illustrated Guide.

Neural networks power today’s AI boom. To understand them, all we need is a map, a cat and a few thousand dimensions. Look at a picture of a cat, and you’ll instantly recognize it as a cat. But try to ...
Popular Mechanics

Human Consciousness Is a ‘Controlled Hallucination,’ Scientist Says—And AI Can Never Achieve It

Traipse into the world of artificial intelligence research, and it won’t take long to stumble across a concept known as the “singularity.” A loan word from astrophysics describing the heart of a black ...