SciTech Chronicles. . . . . . . . .Mar 28th, 2025

  My best teacher is my last mistake. Vol II No 79 481 links Curated Fungus-like organism may be a completely unknown branch of life. https:...

In pyramidal neuron we trust 🧠💡
Paper shows that dendritic #ANNs inspired by #brain connectivity reduce overfitting, use fewer parameters, and outperform traditional ANNs in image classification!
going towards #AI or towards cognitive #neuroscience? 🔥👇
https://www.nature.com/articles/s41467-025-56297-9
Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning - Nature Communications

Artificial neural networks, central to deep learning, are powerful but energy-consuming and prone to overfitting. The authors propose a network design inspired by biological dendrites, which offers better robustness and efficiency, using fewer trainable parameters, thus enhancing precision and resilience in artificial neural networks.

Nature

“Just as #research has shown that feedback from caregivers shapes infant productions of sounds, feedback from the discriminator network shapes the sound productions of the generator network"

This is a pretty big finding. If it's accurate, we can test theories of #language development using artificial neural networks (#ANNs) instead of having to scan human brains!

#AI

https://www.quantamagazine.org/some-neural-networks-learn-language-like-humans-20230522/

Some Neural Networks Learn Language Like Humans | Quanta Magazine

Researchers uncover striking parallels in the ways that humans and machine learning models acquire language skills.

Quanta Magazine

i predict that when #experiments show that single celled #organisms like #bacteria and #yeast can outperform overparametrized machine learning models like #ANNs on the most challenging types of decision problems, #biology will provide a strong riposte to #computer science and the mindset that biological #intelligence is easily explainable using #computational #models

#machineLearning #statistics #mathematical #models #ML #research #engineering #science #nature #complexity #theory #math #proof

Are you also excited and/or want to learn more about the new opportunities #ANNs provide to ask #why questions of #minds and #brains?

Check out our new #review #paper with the amazing Meenakshi Khosla and @NancyKanwisher in @TrendsNeuro

https://www.cell.com/trends/neurosciences/fulltext/S0166-2236(22)00262-4

#neuralnetworks #optimization #organization #auditory #visual #system