Beyond math and coding: New RL framework helps train LLM agents for complex, real-world tasks

The Agent-R1 framework provides a path to building more autonomous agents that can reason and use tools in unpredictable, ...

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

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to ...
Forbes

How To Avoid Bias In Machine Learning Algorithms

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing, ...
Tech Xplore on MSN

Machine learning algorithm rapidly reconstructs 3D images from X-ray data

Soon, researchers may be able to create movies of their favorite protein or virus better and faster than ever before. Researchers at the Department of Energy's SLAC National Accelerator Laboratory ...
Nature

Active Learning Algorithms and Methods

Active learning represents a transformative paradigm in machine learning, aimed at reducing the annotation burden by selectively querying the most informative data points. This approach leverages ...
The American Journal of Managed Care

Can Machine Learning Algorithms Detect Acute Respiratory Diseases Based on Cough Sounds?

The predictive ability of cough sound algorithms shows promise in detecting acute respiratory diseases, study finds. A machine learning algorithm for detecting and classifying acute respiratory ...
JD Supra

AI-Driven Forensics 101: What It Is and Why It Matters

Think of artificial intelligence (AI) as a forensic magnifying glass... here is how it works. In the simplest terms, ...
Forbes

Will Machine Learning Algorithms Erase The Progress Of The Fair Housing Act?

This August, the Department of Housing and Urban Development put forth a proposed ruling that could potentially turn back the clock on the Fair Housing Act (FHA). This ruling states that landlords, ...
Science Daily

Self-learning algorithms for different imaging datasets

AI-based evaluation of medical imaging data usually requires a specially developed algorithm for each task. Scientists have now presented a new method for configuring self-learning algorithms for a ...