How AI can be fueled?

Due to the fascinating dual correspondence between artificial neural networks (ANNs) and the biological brain, it’s crucial to learn how AI can be fueled by ideas from neuroscience and vice versa.

How to develop real-time dynamically reconfigurable and adaptable ANN structure based on feedback mechanism?
How to incorporate consciousness layer, induce free-will or emotion in ANNs or consolidate even intuition?

Turku University of Applied Sciences researcher Irfan Khan wrote a blog post on “the Future of artificial intelligence and Neuroscience“.

The blog post is related to TUAS’s Health Technology Labs latest publication about “Adaptive Weight Aggregation in Federated Learning for Brain Tumor Segmentation“. HT-TUAS team won the second position in the International federated tumor segmentation challenge last year.

The challenge focused on application of a machine learning technique called federated learning on medical imaging.

TUAS’ Health Technology laboratory is also participating in a larger PRIVASA project. The 3-year project aims to developing a secure data analysis framework that empower multiple institutions, hospitals, and clinics to harness remote, private and encrypted patient data without sharing the patient data.

Elina Kontio, Mojtaba Jafaritadi

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