Categories: AI/ML News

Self-organizing ‘infomorphic neurons’ can learn independently

Researchers have developed “infomorphic neurons” that learn independently, mimicking their biological counterparts more accurately than previous artificial neurons. A team of researchers from the Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN) at the University of Göttingen and the Max Planck Institute for Dynamics and Self-Organization (MPI-DS) has programmed these infomorphic neurons and constructed artificial neural networks from them.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content

Recent Posts

Text-to-image comparison. FLUX.1 Krea [dev] Vs. Wan2.2-T2V-14B (Best of 5)

Note, this is not a "scientific test" but a best of 5 across both models.…

17 hours ago

How to Diagnose Why Your Regression Model Fails

In regression models , failure occurs when the model produces inaccurate predictions — that is,…

17 hours ago

STIV: Scalable Text and Image Conditioned Video Generation

The field of video generation has made remarkable advancements, yet there remains a pressing need…

17 hours ago

America’s AI Action Plan

Working Together to Accelerate AI AdoptionOn July 23, 2025, the White House unveiled “Winning the AI…

17 hours ago

Introducing AWS Batch Support for Amazon SageMaker Training jobs

Picture this: your machine learning (ML) team has a promising model to train and experiments…

17 hours ago

A deep dive into code reviews with Gemini Code Assist in GitHub

Imagine a code review process that doesn't slow you down. Instead of a queue of…

17 hours ago