1. These neural networks also are designed to learn from their experience, much like a human brain.

2. Once all that data is collected, the neural networks still need to be trained.

3. Your voice is then analyzed by a neural network, and the device should recognize it thereafter.

4. Just how far neural networks can advance computer vision is uncertain.

5. That becomes problematic when neural networks are used in security cameras.

6. By analyzing thousands of dog photos, a neural network can learn to recognize a dog.

7. It essentially offered a form of memory or context to neural networks.

8. This allowed the animal to send neural signals to its spinal cord to engage its arm muscles.

9. What do you think about neural implants?

10. Sitting alongside that are neural networks and a couple of others.