Categories: AI/ML News

A method for designing neural networks optimally suited for certain tasks

Neural networks, a type of machine-learning model, are being used to help humans complete a wide variety of tasks, from predicting if someone’s credit score is high enough to qualify for a loan to diagnosing whether a patient has a certain disease. But researchers still have only a limited understanding of how these models work. Whether a given model is optimal for certain task remains an open question.

5 Free Resources for Understanding Neural Networks

Deep learning models achieve state-of-the-art performance in several computer vision and natural language processing tasks. If you want to become proficient in deep learning, you should first understand how neural networks work and then proceed to explore the different types and neural network architectures for specific tasks. To help you…

June 15, 2024

In "AI/ML Research"

What a folding ruler can tell us about neural networks

Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and reasoning models like ChatGPT. The principle: during a training phase, the parameters of the network's artificial neurons are optimized in such a way that they can carry out specific tasks, such as…

July 15, 2025

In "AI/ML News"

Guided learning helps previously ‘untrainable’ neural networks learn effectively

Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have shown that a brief period of alignment between neural networks, a method they call guidance, can dramatically improve the performance of architectures previously thought…

December 4, 2025

In "AI/ML News"

AI Generated Robotic Content