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)
As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered.