Resources
Case studies, talks, and research from the Perforated team on dendritic intelligence and efficient neural architectures.
Case Studies
thoro.ai: 70% smaller models with higher accuracy
Improved edge AI performance for autonomous robotics workloads.
April 2026
Skim AI: Breaking the accuracy–efficiency tradeoff
A case study in smarter neural architectures for enterprise AI systems.
March 2026
Edge Impulse: Perforated Model Block
Demonstrating dendritic intelligence in real-world edge AI settings.
December 2025
Research
Perforated
The Future of AI on the Edge
Making powerful AI models smaller, faster, and deployable on constrained edge devices.
arXiv preprint
May 2026
Perforated
Smarter Edge Vision. Smaller Models.
Real-time human detection for industrial robotics, with fewer parameters and faster deployment.
In submission
May 2026
Nature Communications
Dendrites endow neural networks
Researchers found that brain-inspired dendritic structures can reduce parameter count while improving accuracy.
Nature Communications
January 2025
Perforated
Rethinking Backpropagation. Inspired by Biology.
A biologically inspired extension to backpropagation that improves performance with less compute.
arXiv preprint
January 2025
PubMed
Drawing inspiration from biological dendrites
How brain-inspired dendritic features are making artificial neural networks more powerful.
Current Opinion in Neurobiology
June 2021
IEEE
Dendritic Neuron Model With Effective Learning Algorithms.
Novel approaches to classification, approximation, and prediction using dendritic models.
IEEE - Transactions on Neural Networks
February 2019
NeurIPS
The Cascade-Correlation Learning Architecture.
Foundational work on Cascade-Correlation as an architecture and supervised learning algorithm for artificial neural networks.
NeurIPS - Advances in Neural Information Processing Systems 2
January 1989
Press
The Future of Dendritic Intelligence
Conversation with Thought Liters about the future of AI.
Thought Liters Podcast
March 2026
NFL Draft Week AI Showcase
Exploring real-time AI, sports analytics, and next-generation machine learning during NFL Draft week.
Carnegie Mellon University
April 2026
Rethinking the Building Blocks of AI
Why the next generation of machine learning may depend on smarter neural architectures, not just larger models.
Forbes
August 2025