ExecutiveGov

NSWCPD Tests AI/ML Models to Predict Submarine Compressor Failures

To generate usable data, NSWCPD engineers built a controlled test environment and introduced faults such as air leaks, inlet ...
Cyprus Mail on MSN

The new standards of machine learning development

Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the largest possible models to see what capabilities might appear. Today, the ...
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
https//fedtechmagazine.com

How Federated Learning Helps Agencies Build Smarter AI Models Securely

Federated learning makes it possible for agency employees to collaborate on advanced artificial intelligence models without compromising data control or operational security. The process serves as a ...
VentureBeat

Beyond static AI: MIT's new framework lets models teach themselves

Researchers at MIT have developed a framework called Self-Adapting Language Models (SEAL) that enables large language models (LLMs) to continuously learn and adapt by updating their own internal ...
Frontiers

Computational Frameworks for Decision-Making: From Bayesian Inference to Reinforcement Learning Models

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...
NextBigFuture

2026 is Breakthrough Year for Reliable AI World Models and Continual Learning Prototypes

Demis Hassabis (DeepMind CEO) and other AI leaders sees the next big AI gains—and the path to AGI—will come from targeted ...
IFLScience on MSN

AI models can pass on bad habits through training data, even when there are no obvious signs in the data itself

Large language models can transmit harmful behavior to one another through training data, even when that data lacks any ...
Frontiers

Semi-Supervised Learning with Foundation Models for Biomedical Data Analysis: Multimodality, Generative AI, and Clinical Adaptation

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...