New ‘Test-Time Training’ method lets AI keep learning without exploding inference costs

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...
EurekAlert!

A federated anti-forgetting representation method based on hybrid model architecture and gradient truncation

Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...
Educators Technology

Memorization and Repetition: How Learning Really Works

Discover research on memorization techniques for studying. Learn how repetition learning theory and spaced repetition boost ...
Tech Xplore on MSN

Reinforcement learning accelerates model-free training of optical AI systems

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Houston Chronicle

How to Apply the Social Learning Theory in the Workplace

Social learning theory is really a combination of two other kinds of learning theories. On the one hand, there is the cognitive learning theory, which states that the learning of an individual is ...
Forbes

The Five Major Platforms For Machine Learning Model Development

Over the past two decades, the biggest evolution of Artificial Intelligence has been the maturation of deep learning as an approach for machine learning, the expansion of big data and the knowledge of ...
Medicine Buffalo

Multimedia Learning

Multimedia learning describes learning through the use of pictures and words. Examples of multimedia learning include watching a PowerPoint presentation, watching a pre-recorded lecture or reading a ...
Open Heart

Development and validation of a deep learning model for severe mitral stenosis detection from chest X-rays

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...