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From the Schneier on Security blog

From Hackaday.com, this is a neural network simulation of a pet squid.

Autonomous Behavior:

• The squid moves autonomously, making decisions based on his current state (hunger, sleepiness, etc.).
• Implements a vision cone for food detection, simulating realistic foraging behavior.
• Neural network can make decisions and form associations.
• Weights are analysed, tweaked and trained by Hebbian learning algorithm.
• Experiences from short-term and long-term memory can influence decision-making.
• Squid can create new neurons in response to his environment (Neurogenesis) ...